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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2025.1520200</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A systematic review of congenital external ear anomalies and their associated factors</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Acosta-Rodr&#x00ED;guez</surname><given-names>Alejandro</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3021051/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Reza-L&#x00F3;pez</surname><given-names>Sandra A.</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2709195/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Aguilar-Torres</surname><given-names>C&#x00E9;sar R.</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3021097/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Hinojos-Gallardo</surname><given-names>Luis C.</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3021082/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes"><name><surname>Ch&#x00E1;vez-Corral</surname><given-names>Dora V.</given-names></name>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2883182/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff><institution>Department of Embryology, Facultad de Medicina y Ciencias Biom&#x00E9;dicas, Universidad Aut&#x00F3;noma de Chihuahua</institution>, <addr-line>Chihuahua</addr-line>, <country>M&#x00E9;xico</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Yu Sun, Huazhong University of Science and Technology, China</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Hans Thomeer, Utrecht University, Netherlands</p>
<p>Xiaowei Chen, Peking Union Medical College Hospital (CAMS), China</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Dora V. Ch&#x00E1;vez-Corral <email>dochavez@uach.mx</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>24</day><month>04</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>13</volume><elocation-id>1520200</elocation-id>
<history>
<date date-type="received"><day>30</day><month>10</month><year>2024</year></date>
<date date-type="accepted"><day>24</day><month>03</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Acosta-Rodr&#x00ED;guez, Reza-L&#x00F3;pez, Aguilar-Torres, Hinojos-Gallardo and Ch&#x00E1;vez-Corral.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Acosta-Rodr&#x00ED;guez, Reza-L&#x00F3;pez, Aguilar-Torres, Hinojos-Gallardo and Ch&#x00E1;vez-Corral</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Objective</title>
<p>External ear anomalies may lead to conductive hearing loss with significant childhood disability, psychological distress, anxiety, social avoidance, and behavioral problems. The aim of this study is to compile and review published literature on the frequency of isolated and non-isolated external ear anomalies, their associated factors, and associated malformations/deformations in non-isolated cases.</p>
</sec><sec><title>Methods</title>
<p>We conducted a systematic review in PubMed, Google Scholar, and Science Direct searching for any type of article (excluding reviews and meta-analyses) reporting isolated and non-isolated external ear anomalies in humans. Two authors extracted the information according to the main variables of interest according to PICO criteria. Details of studied population and main findings were also obtained (malformation type, unilateral or bilateral malformations and associated factors).</p>
</sec><sec><title>Results</title>
<p>Twenty-six studies met eligibility criteria to be included in this review. Anotia/microtia was the most reported malformation, more frequently found in males, mostly unilateral; being the right ear the most affected, and more frequent in Hispanic population. Associated factors for external ear anomalies included parental age, maternal education, multiple pregnancies, high maternal body mass index and diabetes, pregnancy, and perinatal complications (low birth weight, prematurity, threatened abortion, etc.), twining, and chemical/drug exposure. The most reported malformations and syndromes associated with congenital external ear defects included: skull/face anomalies, cleft lip/palate, congenital heart defects, musculoskeletal malformations of skull, face and jaw, Treacher-Collins, OAVS (oculo-auriculo-vertebral spectrum), and trisomy 18, 13 and 21.</p>
</sec><sec><title>Conclusion</title>
<p>Congenital external ear anomalies can occur isolated or associated with other malformations or syndromes. Environmental, socioeconomic, and cultural factors may partially explain the variation across populations for congenital external ear anomalies. Depending on their type and severity, they can lead to speech impediments and childhood disability, particularly in bilateral cases, highlighting the relevance of early detection and repair to avoid childhood disability.</p>
</sec>
</abstract>
<kwd-group>
<kwd>auricle</kwd>
<kwd>ear anomalies</kwd>
<kwd>congenital malformations</kwd>
<kwd>external ear</kwd>
<kwd>review</kwd>
</kwd-group><counts>
<fig-count count="1"/>
<table-count count="7"/><equation-count count="0"/><ref-count count="102"/><page-count count="17"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Pediatric Otolaryngology</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>The incidence of ear malformations has been informed in approximately 1 per 3,800 newborns (<xref ref-type="bibr" rid="B1">1</xref>), while the incidence of external ear malformations occurs in 1 per 6,000 (<xref ref-type="bibr" rid="B2">2</xref>) to 6,830 newborns (<xref ref-type="bibr" rid="B3">3</xref>). Around 30&#x0025; of them are associated with syndromes involving additional malformations and/or functional loss of organs and organ systems, such as Treacher-Collins, oculo-auriculo-vertebral spectrum or OAVS (also referred as Goldenhar syndrome or hemifacial microsomia), Crouzon, Apert, Klippel-Feil, Wildervanck, van der Hoeve-de-Kleyn, Albers-Sch&#x00F6;nberg, Patau, Edwards, Down, and 18q syndromes (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). They can either affect the ear orientation, position (low set ear), size and/or shape of the auricle (microtia, cup ear, unfolded helix/Stahl ear); or result in a completely absent ear (anotia), while the middle ear can be atretic or hypoplastic. Minor malformations, such as ear tags, ear sinus and ear pits, may be also found (<xref ref-type="bibr" rid="B4">4</xref>). Atresia of the outer ear canal has been rarely observed in patients with a normal auricle (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Congenital anomalies of the external ear are genetic or acquired inborn anomalies of the auricle (<xref ref-type="bibr" rid="B4">4</xref>). They can be classified as deformations and malformations (<xref ref-type="bibr" rid="B7">7</xref>). A deformed ear is presented with fully developed components, with a misshaped auricle or pinna with intact cartilage and skin; while a malformed ear shows auricle alterations due to a partial or complete absence of cartilage and/or skin, because of underdevelopment during embryogenesis (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Most ear anomalies are acquired and originate from external forces applied to normal ear components <italic>in utero</italic> or postnatally (<xref ref-type="bibr" rid="B10">10</xref>), or by exposure to exogenous factors during the first trimester of pregnancy, such as: (a) infections, mainly viral, confirmed for rubella, cytomegalovirus, and herpes simplex virus; and possible for measles, mumps, hepatitis, poliomyelitis, chickenpox, Coxsackie virus and ECHO virus, and for toxoplasmosis, and syphilis; (b) chemical agents and medical drugs, such as thalidomide, quinine and aminoglycoside antibiotics, diphenylhydantoin, trimethadione, valproic acid, and excessively high doses of retinoic acid; (c) malnutrition and vitamin A deficiency during pregnancy; (d) Rh incompatibility; (e) hypoxia; (f) bleeding during the first trimester of pregnancy and disturbances of metabolism, such as diabetes. Environmental factors, including irradiation, atmospheric pressure changes, and noise exposure, should be also taken into consideration (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). In many cases, however, the actual cause is unknown (<xref ref-type="bibr" rid="B14">14</xref>), because clinical and anamnestic data of exposure and exogenic influences are often missing or unclear (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Microtia/anotia is probably the most extensively studied external ear malformation. A recent metanalysis by Huang et al. (<xref ref-type="bibr" rid="B15">15</xref>), identified multiple risk factors with significant association for isolated microtia, including parental demographics, prenatal and perinatal characteristics (birth weight, chemical/medicinal exposure, infections), as well as familial history of ear malformations, among others, emphasizing the importance of identifying them to bring awareness and reinforce prevention. Expanding the scope for other congenital ear anomalies, that have received less attention and might also have consequences later in life, including non-isolated cases published reports, as well as exploring their associations with other congenital anomalies, could provide a more compelling review.</p>
<p>External ear anomalies could cause conductive hearing loss with a significant childhood disability, especially in bilateral cases (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Additionally, their effect on appearance may lead to psychological distress, anxiety, social avoidance, and behavioral problems (<xref ref-type="bibr" rid="B18">18</xref>). The purpose of this study was to compile and review published literature of isolated and non-isolated external ear anomalies, their characteristics, associated factors, and associated malformations/deformations in non-isolated cases.</p>
</sec>
<sec id="s2"><label>2</label><title>Materials and Methods</title>
<sec id="s2a"><label>2.1</label><title>Search strategy</title>
<p>A systematic literature review was conducted and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (<xref ref-type="bibr" rid="B19">19</xref>). Studies reporting risk factors for isolated and non-isolated congenital external ear anomalies were independently selected by two reviewers through a manual screening process in January 2025 using the advanced search tools from PubMed, Google Scholar and ScienceDirect databases.</p>
<p>In PubMed, the search terms used were &#x201C;Outer Ear Malformations&#x201D; OR &#x201C;Outer Ear Defect&#x201D; OR &#x201C;External Ear Defect&#x201D; OR &#x201C;Microtia/Anotia&#x201D; OR &#x201C;Aural Atresia&#x201D; contained in title/abstract, using the Boolean operators &#x201C;NOT&#x201D; to exclude &#x201C;Reconstruction Surgery&#x201D;, &#x201C;Implants&#x201D;, &#x201C;Middle Ear&#x201D;, &#x201C;Inner/Internal Ear&#x201D; and &#x201C;Deafness&#x201D;. In Google Scholar, the search terms were &#x201C;Outer Ear Malformations&#x201D; OR &#x201C;Outer Ear Defects&#x201D; OR &#x201C;Microtia/Anotia&#x201D; OR &#x201C;Aural Atresia&#x201D; in title, and without the words &#x201C;Deafness, Mice, Rats, Inner [ear] &#x0026; Internal [ear]&#x201D;. Finally, in ScienceDirect, the terms &#x201C;Ear Malformations&#x201D; OR &#x201C;Microtia/Anotia&#x201D; OR &#x201C;Aural Atresia&#x201D; in the title, abstract or author-specified key words were searched, using the same restriction words than those used in Google Scholar.</p>
<p>The filters applied in PubMed were article type (any type, excluding reviews and meta-analyses) and species (humans); in ScienceDirect they were article type (any type, excluding reviews and meta-analyses) and subject area (medicine); in Google Scholar, articles were manually selected excluding review articles and meta-analyses. In all databases, filters for year (2000 to 2025) and language (English, Spanish, French, Italian and Portuguese) were also applied. Duplicates were manually removed.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Eligibility criteria</title>
<p>Research articles that included any type of external ear anomalies, isolated and non-isolated, and reporting association measures with risk factors or results of comparison tests (relative risk, odds ratio, and <italic>P</italic>-value), in humans were included. Articles referring only to the middle and/or inner ear malformations, tumors, trauma, surgery, animal models, and specific syndromes were excluded, as well as case reports.</p>
</sec>
<sec id="s1c"><label>2.3</label><title>Data extraction</title>
<p>The title, authors, year of publication, language, and place of publication were obtained and registered. The information on the main variables of interest was extracted according to PICO (Population, Intervention, Comparison and Outcome) criteria as follows: [1] Population (individuals diagnosed with any outer ear anomalies); [2] Exposure -instead of intervention- (at least one identifiable risk factor for external ear anomalies); [3] controls in case control studies (individuals with unknown outer ear malformations and/or history of exposure), and [4] Outcomes: main findings, both descriptive (malformation type, unilateral or bilateral malformations), associated factors and association measures (relative risk, RR; odds ratio, OR) or those reporting a <italic>P</italic>-value for group comparisons, and associated deformations/malformations and syndromes, when reported.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p>A total of 1,266 studies were identified &#x2212;880 from Google Scholar, 158 from PubMed, and 228 from ScienceDirect. After screening of titles and abstracts, removing duplicates, and verifying eligibility criteria, 26 articles remained to be included in this review (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flow diagram of publication selection process in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Source: Page et al. (<xref ref-type="bibr" rid="B19">19</xref>).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-13-1520200-g001.tif"/>
</fig>
<p>Sixteen studies were case-control studies (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>), eight were retrospective reviews (<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>), one was a cohort study (<xref ref-type="bibr" rid="B44">44</xref>), and other was a cross-sectional study (<xref ref-type="bibr" rid="B45">45</xref>). Ten were studies from the U.S.A (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>), ten from China (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>), three from Mexico, Colombia, and South America (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B34">34</xref>), and the rest from Israel, Japan, and South Korea [<italic>n</italic>&#x2009;&#x003D;&#x2009;1, each] (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>), as shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. All studies were published in English.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Characteristics of studies included in the review.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">First author</th>
<th valign="top" align="center">Place</th>
<th valign="top" align="center">Study design</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bader et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">Israel</td>
<td valign="top" align="left">Cohort</td>
</tr>
<tr>
<td valign="top" align="left">Shaw et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
<tr>
<td valign="top" align="left">Forrester and Merz (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
<tr>
<td valign="top" align="left">Canfield et al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
<tr>
<td valign="top" align="left">Garcia et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Colombia</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Zhang et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Ma et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">U.S.A</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Wu et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
<tr>
<td valign="top" align="left">Lee et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Ma et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi et al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Cross-sectional</td>
</tr>
<tr>
<td valign="top" align="left">Luquetti et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">South America</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Van Bennekom et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Hoyt et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Li et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Deng et al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
<tr>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Ryan et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Guo et al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Sheehan et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Sun et al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
<tr>
<td valign="top" align="left">Yu et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Schraw et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">U.S.A.</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Ibarra et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">Mexico</td>
<td valign="top" align="left">Case-control</td>
</tr>
<tr>
<td valign="top" align="left">Zhou et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Retrospective review</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The reported external ear anomalies and their frequency by sex, laterality, and ethnicity are shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. The anotia/microtia was the most studied malformation (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B45">45</xref>). A study reported low set ears as the most common malformation (<xref ref-type="bibr" rid="B44">44</xref>), and two studies reported the frequency of deformations: Stahl ear and preauricular tags (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B44">44</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>External ear anomalies and their association with sex, and laterality.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">First Author</th>
<th valign="top" align="center">Anomalies (<italic>n</italic>)&#x0025;</th>
<th valign="top" align="center">Prevalence <break/>by sex (&#x0025;)</th>
<th valign="top" align="center">Side (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3">Bader et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">Auricular mild errors of morphogenesis (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,342)</td>
<td valign="top" align="left">Male 47.1&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Deformation 57.35&#x0025;: Stahl Ear 13.7&#x0025;</td>
<td valign="top" align="left"/>
<td valign="top" align="left">Bilateral 78.6&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Malformation 13.4&#x0025;: Low set ear 2.96&#x0025;</td>
<td valign="top" align="left"/>
<td valign="top" align="left">Bilateral 61.69&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Shaw et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">Microtia/Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;549)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Non-isolated 70.86&#x0025;</td>
<td valign="top" align="left">Male 56&#x0025;</td>
<td valign="top" align="left">Unilateral 72.75&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Isolated 29.1&#x0025;</td>
<td valign="top" align="left">Male 57.5&#x0025;</td>
<td valign="top" align="left">Unilateral 94&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Forrester and Merz (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;109) 90.8&#x0025;<break/>Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;10) 8.3&#x0025;</td>
<td valign="top" align="left">Male 62.5&#x0025;</td>
<td valign="top" align="left">Unilateral 79.8&#x0025; (Right ear 64&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Canfield et al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;698) 94.1&#x0025;<break/>Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;44) 5.9&#x0025;</td>
<td valign="top" align="left">Male 56.7&#x0025;</td>
<td valign="top" align="left">Unilateral 77&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Garcia-Reyes et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Isolated microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;27)</td>
<td valign="top" align="left">Male 62.96&#x0025;</td>
<td valign="top" align="left">Unilateral 85.1&#x0025; (right ear 62.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Zhang et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Isolated microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;121)</td>
<td valign="top" align="left">Male 78.5&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Ma et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;420)<break/>Isolated 73&#x0025;<break/>Non-isolated 27&#x0025;</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Wu et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">Microtia/Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;345)<break/>Isolated 56.52&#x0025;<break/>Non-isolated 43.48&#x0025;</td>
<td valign="top" align="left">Male 72.75&#x0025;</td>
<td valign="top" align="left">Unilateral 92&#x0025; (right ear 55.24&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Lee et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;374)<break/>Isolated 65&#x0025;<break/>Non-isolated 35&#x0025;</td>
<td valign="top" align="left">Male 67.3&#x0025;</td>
<td valign="top" align="left">Unilateral 93.3&#x0025; (right ear 53.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ma et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;382)<break/>Isolated 75&#x0025;<break/>Non-isolated 25&#x0025;</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi et al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;428)</td>
<td valign="top" align="left">Male 61&#x0025;</td>
<td valign="top" align="left">Unilateral 90&#x0025; (right ear 59&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Luquetti et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Isolated microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,194)</td>
<td valign="top" align="left">Male 56.6&#x0025;</td>
<td valign="top" align="left">Unilateral 82&#x0025; (right ear 65.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Van Bennekom et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;421)<break/>Isolated 72&#x0025;<break/>Non-isolated 28&#x0025;</td>
<td valign="top" align="left">Male 60&#x0025;<break/>Male 58&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Hoyt et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Microtia/Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;507)<break/>Isolated 71&#x0025;</td>
<td valign="top" align="left">Male 59.5&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Li et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;911)<break/>Isolated 69.5&#x0025;<break/>Non-isolated 30.5&#x0025;</td>
<td valign="top" align="left">Male 69.7&#x0025;</td>
<td valign="top" align="left">Unilateral 74&#x0025; (right ear 57.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Deng et al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="left">Microtia/Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,933)<break/>Isolated 73.41&#x0025;<break/>Non-isolated 26.59&#x0025;</td>
<td valign="top" align="left">Male 58.56&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Severe microtia/atresia (<italic>n</italic>&#x2009;&#x003D;&#x2009;322)</td>
<td valign="top" align="left">Male 68.6&#x0025;</td>
<td valign="top" align="left">Unilateral 80.7&#x0025; (right ear 54&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ryan et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">Microtia/Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;699)<break/>Non-isolated 31&#x0025;<break/>Isolated 69&#x0025;</td>
<td valign="top" align="left">Male 57.2&#x0025;</td>
<td valign="top" align="left">Unilateral 87&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Guo et al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="left">Severe microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;965)<break/>Isolated 89.8&#x0025;<break/>Non-isolated 40.6&#x0025;</td>
<td valign="top" align="left">Male 65.2&#x0025;</td>
<td valign="top" align="left">Unilateral 83.1&#x0025; (right ear 52&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;293)</td>
<td valign="top" align="left">Male 73.7&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Shehan et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Microtia/Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;523)</td>
<td valign="top" align="left">Male 55.98&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Sun et al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;115)</td>
<td valign="top" align="left">Male 59.13&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Yu et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Congenital ear malformations (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,676)</td>
<td valign="top" align="left">Male 57&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Schraw et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,236) 93.5&#x0025;<break/>Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;86) 6.5&#x0025;</td>
<td valign="top" align="left">Male 57.5&#x0025;</td>
<td valign="top" align="left">Unilateral 88.88&#x0025; (right ear 64.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ibarra et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">Isolated Microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;167)<break/>Preauricular tag (<italic>n</italic>&#x2009;&#x003D;&#x2009;656)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Zhou et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">Congenital malformations of external ear (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,227)<break/>Microtia/Anotia (<italic>n</italic>&#x2009;&#x003D;&#x2009;185)</td>
<td valign="top" align="left">Male 58.2&#x0025;<break/>Male 63.7&#x0025;</td>
<td valign="top" align="left">NR</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NR, not reported.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>From the selected studies, twenty-three reported subject sex, showing greater occurrence of ear anomalies in male population (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>). Fourteen studies reported laterality (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>), from which thirteen reported that congenital external ear anomalies were mostly unilateral, and ten being the right ear the most affected (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B45">45</xref>). Only one study reported higher prevalence for bilateral anomalies (<xref ref-type="bibr" rid="B44">44</xref>). Finally, eleven studies classified cases by ethnic background: nine observed higher frequency among Hispanic population, compared to non-Hispanic Caucasians and African Americans (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>), and two studies focused on Jewish, Arab (<xref ref-type="bibr" rid="B44">44</xref>), Pacific Islanders and Filipino descendants (<xref ref-type="bibr" rid="B37">37</xref>) <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>External ear anomalies and their association with ethnicity.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">First author <break/>and year</th>
<th valign="top" align="center">Ethnicity</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bader et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">Ashkenazi (597/1,368) 43.6&#x0025; and Sephardic Jewish (378/887) 42.6&#x0025;<break/>Muslim Arab (194/418) 46.4&#x0025; and Christian Arab (78/190) 41.1&#x0025;<break/>Christian non-Arab (32/84) 38.1&#x0025;<break/>Druze (50/129) 38.8&#x0025;<break/>Ethiopian Jewish (5/11) 45.5&#x0025;<break/>Other (8/20) 40&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Shaw et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">Non-isolated cases (<italic>n</italic>&#x2009;&#x003D;&#x2009;389)<break/>White, non-Hispanic (72) 18.5&#x0025;; U.S. born Hispanic (69) 17.74&#x0025;; foreign born Hispanic (185) 47.6&#x0025;; Black (20) 5.1&#x0025;; and Asian (20) 5.1&#x0025;<break/>Isolated cases (<italic>n</italic>&#x2009;&#x003D;&#x2009;160)<break/>White, non-Hispanic (13) 8.12&#x0025;; US-born Hispanic (30) 18.75&#x0025;;<break/>Hispanic (100) 62.5&#x0025;; Black (1) 0.6&#x0025;; and Asian (10) 6.25&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Forrester and Merz (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">Pacific Islander (41/106) 39&#x0025;<break/>Filipino (28/106) 26.4&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Canfield et al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">White, non-Hispanic (183) 24.7&#x0025;<break/>Black, non-Hispanic (34) 4.6&#x0025;<break/>Hispanic (508) 68.5&#x0025;: born in Mexico 34&#x0025;, US-born 28.4&#x0025;, other 6.1&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Ma et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">White, non-Hispanic (154) 36.7&#x0025;<break/>Black, non-Hispanic (12) 2.9&#x0025;<break/>Hispanic (222) 52.7&#x0025;<break/>Other (29) 6.9&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Ma et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">White, non-Hispanic (144) 37.7&#x0025;<break/>Black, non-Hispanic (9) 2.4&#x0025;<break/>Hispanic (199) 52.1&#x0025;<break/>Other (27) 7.1&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Van Bennekom et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">Any microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;421):<break/>White, non-Hispanic: 37&#x0025;<break/>Black, non-Hispanic: 3&#x0025;<break/>Hispanic: 53&#x0025;<break/>Other: 7&#x0025;<break/>Isolated microtia (<italic>n</italic>&#x2009;&#x003D;&#x2009;304):<break/>White, non-Hispanic: 33&#x0025;<break/>Black, non-Hispanic: 2&#x0025;<break/>Hispanic: 56&#x0025;<break/>Other: 8&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Hoyt et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">White, non-Hispanic: (119) 33.9&#x0025;<break/>Black, non-Hispanic: (9) 2.6&#x0025;<break/>Hispanic: (194) 55.3&#x0025;<break/>Other: (29) 8.3&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Ryan et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">Hispanic (376) 53.8&#x0025;<break/>White, non-Hispanic (242) 34.6&#x0025;<break/>Black, non-Hispanic (27) 3.9&#x0025;<break/>Other (54) 7.7&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Shehan et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">White (180) 34.41&#x0025;<break/>Black (26) 5.08&#x0025;<break/>Hispanic (191) 36.58&#x0025;<break/>Asian or pacific islander (29) 5.58&#x0025;<break/>Native American (5) 1.06&#x0025;<break/>Other (36) 6.9&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Schraw et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">All cases (1,322): White, non-Hispanic 18.1&#x0025;; Black, non-Hispanic 3&#x0025;; Hispanic 73.8&#x0025;; other non-Hispanic 3.9&#x0025;<break/>Isolated cases (982): White, non-Hispanic 18.5&#x0025;; Black, non-Hispanic 2.3&#x0025;; Hispanic 74.7&#x0025;; other non-Hispanic 3.9&#x0025;<break/>Non-isolated cases (340): White, non-Hispanic 16.8&#x0025;; Black, non-Hispanic 5&#x0025;; Hispanic 71.2&#x0025;; other non-Hispanic 4.1&#x0025;</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3a"><label>3.1</label><title>Associated factors</title>
<p>Some authors associated congenital anomalies of the external ear with parental age, race/ethnicity, education level, residential area, infant sex, multiple pregnancies, twining, abortions, obesity, pregnancy and perinatal complications, and chemical/medication exposure. Risk factors by characteristics (demographics) and parental health behaviors are shown in <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>, risk factors by pregnancy characteristics and parental clinical features are shown in <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>, and risk factors of studies reporting microtia/anotia compared by all, isolated, and non-isolated cases are shown in <xref ref-type="table" rid="T6">Table&#x00A0;6</xref>.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Risk factors for external ear malformations classified by demographics and parental health behavior.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Author, year</th>
<th valign="top" align="center">Risk factors</th>
<th valign="top" align="center">OR (95&#x0025; CI), <italic>n</italic> (prevalence)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" align="center" colspan="3">Parental age</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal age &#x003C;25</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">U.S born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;4.43, 95&#x0025; CI (2.17&#x2013;9.02)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;5.90, 95&#x0025; CI (2.82&#x2013;12.33)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi, 2012 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">vs. mean age of controls</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;34, 8.5&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal age 25&#x2013;29</td>
</tr>
<tr>
<td valign="top" align="left">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;4.67, 95&#x0025; CI (2.12&#x2013;10.30)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Yu, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Maternal age &#x003C;30 compared with controls</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;1080, 64.4&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi, 2012 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">vs. mean age of controls</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;149, 39&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal age 30&#x2013;34</td>
</tr>
<tr>
<td valign="top" align="left">Canfield, 2009 (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">vs. maternal age 25&#x2013;29</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.35, 95&#x0025; CI (1.04&#x2013;1.75)<xref ref-type="table-fn" rid="table-fn3"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi, 2012 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">vs. mean age of controls</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;150, 40&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal age &#x2265;35</td>
</tr>
<tr>
<td valign="top" align="left">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.91, 95&#x0025; CI (1.23&#x2013;12.46)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">vs. maternal age &#x003C;26</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;8.17, 95&#x0025; CI (3.78&#x2013;17.6)</td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi, 2012 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">vs. mean age of controls</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;45, 12&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Paternal age &#x003E;35</td>
</tr>
<tr>
<td valign="top" align="left">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">vs. paternal age &#x003C;26</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;6.69, 95&#x0025; CI (3.64&#x2013;12.29)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Maternal race/ethnicity</th>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Shehan, 2022 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Hispanic vs. White, non-Hispanic</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.76, 95&#x0025; CI (2.28&#x2013;3.34)</td>
</tr>
<tr>
<td valign="top" align="left">Native American vs. White, non-Hispanic</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.21, 95&#x0025; CI (1.02&#x2013;4.78)</td>
</tr>
<tr>
<td valign="top" align="left">Other vs. White, non-Hispanic</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.51, 95&#x0025; CI (1.08&#x2013;2.10)</td>
</tr>
<tr>
<td valign="top" align="left">Black vs. White, non-Hispanic</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;0.50, 95&#x0025; CI (0.34&#x2013;0.72)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Hispanic vs. White, non-Hispanic</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;194, 55.3&#x0025;, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Black, non-Hispanic vs. White, non-Hispanic</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;9, 2.6&#x0025;, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Parental education level</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal &#x003C;High school</td>
</tr>
<tr>
<td valign="top" align="left">Canfield, 2009 (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">vs. &#x003E;High school</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.98, 95&#x0025; CI (1.17&#x2013;8.50)<xref ref-type="table-fn" rid="table-fn3"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top">vs. &#x003E;High school</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.00, 95&#x0025; CI (1.672&#x2013;5.381)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">U.S born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;4.93, 95&#x0025; CI (1.38&#x2013;17.61)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;8.79, 95&#x0025; CI (2.52&#x2013;30.60)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Yu, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">vs. &#x003E;High school</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;1121, 66.9&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001<xref ref-type="table-fn" rid="table-fn7a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal &#x2265;High school</td>
</tr>
<tr>
<td valign="top" align="left">Canfield, 2009 (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">High school graduate vs. &#x003E;High school</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.97, 95&#x0025; CI (1.68&#x2013;10.69)<xref ref-type="table-fn" rid="table-fn3"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">U.S. born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.30, 95&#x0025; CI (1.25&#x2013;4.22)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.76, 95&#x0025; CI (2.10&#x2013;6.72)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Paternal &#x003C;High school</td>
</tr>
<tr>
<td valign="top" align="left">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">vs. &#x003E;High school</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;5.249, 95&#x0025; CI (2.464&#x2013;11.179)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Maternal employment</th>
</tr>
<tr>
<td valign="top" align="left">Luquetti, 2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Outside of home vs. housewife</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.3, 95&#x0025; CI (1.1&#x2013;1.5)<xref ref-type="table-fn" rid="table-fn4"><sup>c</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Household income</th>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">&#x003C;10,000 vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.83, 95&#x0025; CI (1.07&#x2013;7.52)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">10,000&#x2013;19,000 vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.35, 95&#x0025; CI (1.37&#x2013;8.21)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">20,000&#x2013;39,999 vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;5.06, 95&#x0025; CI (2.37&#x2013;10.80)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;40,000 vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.21, 95&#x0025; CI (1.25&#x2013;8.25)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Parental resident area</th>
</tr>
<tr>
<td valign="top" align="left">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Rural vs. urban areas</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;8.286, 95&#x0025; CI (3.782&#x2013;18.152)</td>
</tr>
<tr>
<td valign="top" align="left">Zhou, 2024 (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">Urban vs. rural areas</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.45, 95&#x0025; CI (1.29&#x2013;1.62)</td>
</tr>
<tr>
<td valign="top" align="left">Lee, 2012 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Urban vs. rural areas</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;0.174, 95&#x0025; CI (0.047&#x2013;0.653)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Altitude</th>
</tr>
<tr>
<td valign="top" align="left">Ibarra, 2024 (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">1,511&#x2013;2,426&#x2005;m vs. low altitude (&#x2264;1,499&#x2005;m)</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.60, 95&#x0025; CI (1.34&#x2013;1.92)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Environmental pollution</th>
</tr>
<tr>
<td valign="top" align="left">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;7.0, 95&#x0025; CI (2.088&#x2013;23.468)</td>
</tr>
<tr>
<td valign="top" align="left">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.82, 95&#x0025; CI (1.19&#x2013;2.70)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Parental chemical exposure</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal exposure</td>
</tr>
<tr>
<td valign="top" align="left">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.764, 95&#x0025; CI (1.659&#x2013;13.680)</td>
</tr>
<tr>
<td valign="top" align="left">Li, 2014 (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.77, 95&#x0025; CI (1.78&#x2013;4.32)<xref ref-type="table-fn" rid="table-fn5"><sup>d</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Heavy metals</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.6, 95&#x0025; CI (0.99&#x2013;21.46)</td>
</tr>
<tr>
<td valign="top" align="left">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.20, 95&#x0025; CI (1.17&#x2013;8.73)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Yu, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">SO2 before conception</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.93, 95&#x0025; CI (1.43&#x2013;2.59)<xref ref-type="table-fn" rid="table-fn6"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">SO2 after conception</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.63, 95&#x0025; CI (1.22&#x2013;2.18)<xref ref-type="table-fn" rid="table-fn6"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Paternal exposure</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Dust</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.42, 95&#x0025; CI (1.80&#x2013;6.50)</td>
</tr>
<tr>
<td valign="top" align="left">Heavy metals</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.92, 95&#x0025; CI (1.51&#x2013;5.62)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Drinking</th>
</tr>
<tr>
<td valign="top" align="left">Lee, 2012 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Positive drinking vs. non-drinkers</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.065, 95&#x0025; CI (1.764&#x2013;9.212)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Smoking &#x2265; 1 cigarette daily</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal</td>
</tr>
<tr>
<td valign="top" align="left">Luquetti, 2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Foreign born Hispanic vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.7, 95&#x0025; CI (1.1&#x2013;2.6)<xref ref-type="table-fn" rid="table-fn4"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Positive smoking vs. non-smokers</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;6.95, 95&#x0025; CI (2.58&#x2013;18.71)<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Paternal</td>
</tr>
<tr>
<td valign="top" align="left">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Positive smoking vs. non-smokers</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.07, 95&#x0025; CI (1.44&#x2013;2.96)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Pet contact</th>
</tr>
<tr>
<td valign="top" align="left">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Contact vs. no contact</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.789, 95&#x0025; CI (1.831&#x2013;12.578)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Family history of congenital ear malformation</th>
</tr>
<tr>
<td valign="top" align="left">Garcia, 2009 (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Positive history vs. no history</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.93, 95&#x0025; CI (1.01&#x2013;8.48)</td>
</tr>
<tr>
<td valign="top" align="left">Luquetti, 2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Positive history vs. no history</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;18.1, 95&#x0025; CI (7.9&#x2013;41.4)<xref ref-type="table-fn" rid="table-fn4"><sup>c</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Isolated cases: anotia/microtia with no other structural anomaly diagnosis, non-isolated cases: anotia/microtia with the presence of other structural anomalies (excluding chromosomal anomalies), NS, not specified; OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval.</p></fn>
<fn id="table-fn2"><label><sup>a</sup></label>
<p>Adjusted for pregnancy BMI, age, education, folic acid, gestational diabetes, smoking, alcohol intake, annual household income, and study center.</p></fn>
<fn id="table-fn3"><label><sup>b</sup></label>
<p>Adjusted for maternal age, race/ethnicity, border residence, maternal birthplace, maternal education, year of infant birth, and infant sex.</p></fn>
<fn id="table-fn4"><label><sup>c</sup></label>
<p>Adjusted by sex, maternal age, hospital, and year of birth.</p></fn>
<fn id="table-fn5"><label><sup>d</sup></label>
<p>Adjusted by gender, age, region, syndrome, and family history.</p></fn>
<fn id="table-fn6"><label><sup>e</sup></label>
<p>Adjusted for maternal age, season of conception, gravidity, parity, maternal education, nitrogen dioxide and particulate matter with an aerodynamic diameter &#x2264;10 &#x03BC;m exposure levels during the same period.</p></fn>
<fn id="table-fn7a"><label><sup>f</sup></label>
<p>Risk factor prevalence.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Risk factors for external ear malformations classified by pregnancy and parental clinical features.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Author, year</th>
<th valign="top" align="center">Risk factors</th>
<th valign="top" align="center">OR 95&#x0025; (CI), <italic>n</italic> (prevalence)<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" align="center" colspan="3">Infant sex</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Male</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">U.S. born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.09, 95&#x0025; CI (1.17&#x2013;3.73)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.75, 95&#x0025; CI (2.21&#x2013;3.68)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Canfield, 2009 (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">vs. female infants</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.27, 95&#x0025; CI (1.06&#x2013;1.52)<xref ref-type="table-fn" rid="table-fn10"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Zhou, 2024 (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">vs. female infants</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.57, 95&#x0025; CI (1.16&#x2013;2.12)</td>
</tr>
<tr>
<td valign="top" align="left">Bader, 2004 (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">vs. female infants</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;760, 47.1&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Yu, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">vs. female infants</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;956, 57&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Sun, 2022 (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">vs. female infants</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;68, 59&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi, 2012 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">vs. female infants</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;230, 61&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Female</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">U.S. born Hispanic vs. White non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.86, 95&#x0025; CI (1.44&#x2013;5.68)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanic vs. White non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;4.76, 95&#x0025; CI (2.55&#x2013;8.89)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Prematurity</th>
</tr>
<tr>
<td valign="top" align="left">Forrester, 2005 (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">vs. &#x2265;30 weeks</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.27, 95&#x0025; CI (1.49&#x2013;3.40)</td>
</tr>
<tr>
<td valign="top" align="left">Shehan, 2022 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">vs. full-term population</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.19, 95&#x0025; CI (1.78&#x2013;2.69)</td>
</tr>
<tr>
<td valign="top" align="left">Yu, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">vs. full-term population</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;102, 6.1&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Bader, 2004 (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">vs. full-term population</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;101, 53.2&#x0025;; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.014<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Gestational weight</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Low birth weight</td>
</tr>
<tr>
<td valign="top" align="left">Forrester, 2005 (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">vs. &#x2265;2500&#x2005;gr</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.35, 95&#x0025; CI (2.04&#x2013;5.30)</td>
</tr>
<tr>
<td valign="top" align="left">Garcia, 2009 (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">vs. &#x2265;2,500&#x2005;gr</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.25, 95&#x0025; CI (1.11&#x2013;9.58)</td>
</tr>
<tr>
<td valign="top" align="left">Yu, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;89, 5.3&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Bader, 2004 (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;64, 48.9&#x0025;; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.044<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Large for gestational age</td>
</tr>
<tr>
<td valign="top" align="left">Bader, 2004 (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;108, 49.8&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Maternal BMI</th>
</tr>
<tr>
<td valign="top" align="left" rowspan="8">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left" colspan="2">Pregnancy BMI 18.5&#x2009;&#x2264;&#x2009;24.9</td>
</tr>
<tr>
<td valign="top" align="left">U.S. born Hispanic vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.37, 95&#x0025; CI (1.30&#x2013;4.34)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanic vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.11, 95&#x0025; CI (1.82&#x2013;5.33)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Pregnancy BMI 25&#x2009;&#x2264;&#x2009;29.9</td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanic vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;4.83, 95&#x0025; CI (1.95&#x2013;11.97)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Pregnancy BMI&#x2009;&#x2265;&#x2009;30</td>
</tr>
<tr>
<td valign="top" align="left">U.S. born Hispanic vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.67, 95&#x0025; CI (1.29&#x2013;10.41)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanic vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;11.87, 95&#x0025; CI (4.31&#x2013;32.71)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Gestational diabetes</th>
</tr>
<tr>
<td valign="top" align="left">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;6.07, 95&#x0025; CI (1.09&#x2013;33.69)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Multiple pregnancies</th>
</tr>
<tr>
<td valign="top" align="left">Forrester, 2005 (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">NS vs. single birth</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.72, 95&#x0025; CI (1.66&#x2013;7.33)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Luquetti, 2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Parity 2&#x2013;7 vs. primipara</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.5, 95&#x0025; CI (1.2&#x2013;1.8)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Parity &#x2265;8 vs. primipara</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.8, 95&#x0025; CI (1.6&#x2013;5.2)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Yu, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Gravidity &#x2265;2 vs. primipara</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;758, 45.2&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Parity &#x2265;2 vs. primipara</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;328, 19.6&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Gravidity &#x2265;1</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.42, 95&#x0025; CI (1.89&#x2013;3.09)</td>
</tr>
<tr>
<td valign="top" align="left">Parity &#x2265;1</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.57, 95&#x0025; CI (1.14&#x2013;2.15)</td>
</tr>
<tr>
<td valign="top" align="left">Shehan, 2022 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Non-singletons vs. singletons</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.39, 95&#x0025; CI (6.07&#x2013;34.12)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Parental chronic diseases</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Maternal</td>
</tr>
<tr>
<td valign="top" align="left">Luquetti, 2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.3, 95&#x0025; CI (1.0&#x2013;1.7)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.25, 95&#x0025; CI (1.25&#x2013;4.05)</td>
</tr>
<tr>
<td valign="top" align="left">Shehan, 2022 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Diabetes</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.64, 95&#x0025; CI (2.06&#x2013;10.46)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Paternal</td>
</tr>
<tr>
<td valign="top" align="left">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.38, 95&#x0025; CI (2.03&#x2013;9.43)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Maternal infections during pregnancy</th>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">During pregnancy</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;7.714, 95&#x0025; CI (3.510&#x2013;16.953)</td>
</tr>
<tr>
<td valign="top" align="left">During first trimester</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;7.469, 95&#x0025; CI (3.324&#x2013;16.784)</td>
</tr>
<tr>
<td valign="top" align="left">After first trimester</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.108, 95&#x0025; CI (1.180&#x2013;8.185)</td>
</tr>
<tr>
<td valign="top" align="left">Wu, 2010 (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">Viral infection (influenza or Measles)</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;73, 48.21&#x0025; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.0474<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Luquetti, 2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Acute diseases during pregnancy</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.4, 95&#x0025; CI (1.2&#x2013;1.6)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Cold-like symptoms</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.2, 95&#x0025; CI (1.2&#x2013;3.9)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Li, 2014 (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">Cold-like symptoms</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.12, 95&#x0025; CI (2.30&#x2013;4.25)<xref ref-type="table-fn" rid="table-fn12a"><sup>d</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Inflammatory infection</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.56, 95&#x0025; CI (2.07&#x2013;6.13)<xref ref-type="table-fn" rid="table-fn12a"><sup>d</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Viral illness</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.933, 95&#x0025; CI (1.148&#x2013;3.256)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Genital infection</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;16.75, 95&#x0025; CI (6.11&#x2013;45.93)</td>
</tr>
<tr>
<td valign="top" align="left">Urinary tract infection</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;7.25, 95&#x0025; CI (2.55&#x2013;20.62)</td>
</tr>
<tr>
<td valign="top" align="left">Fever</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.27, 95&#x0025; CI (1.23&#x2013;4.16)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Shehan, 2022 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Acute respiratory infection</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.23, 95&#x0025; CI (1.35&#x2013;3.68)</td>
</tr>
<tr>
<td valign="top" align="left">Infectious or parasitic diseases</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.50, 95&#x0025; CI (1.40&#x2013;4.47)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Maternal medicatio</th>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Zhang, 2009 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">During pregnancy (medication non specified)</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.400, 95&#x0025; CI (1.680&#x2013;6.882)</td>
</tr>
<tr>
<td valign="top" align="left">During first trimester (medication non specified)</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;6.618, 95&#x0025; CI (2.452&#x2013;17.857)</td>
</tr>
<tr>
<td valign="top" align="left">Lee, 2012 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;6.077, 95&#x0025; CI (2.413&#x2013;15.307)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Luquetti, 2013 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Analgesics</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.2, 95&#x0025; CI (1.4&#x2013;3.4)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Antibiotics</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;1.6, 95&#x0025; CI (1.1&#x2013;2.5)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Antiemetics</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;4.5, 95&#x0025; CI (1.0&#x2013;21.4)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Antihypertensives</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.6, 95&#x0025; CI (1.0&#x2013;13.7)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Antispasmodics</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.8, 95&#x0025; CI (1.2&#x2013;6.5)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Drugs for functional bowel disease</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;3.6, 95&#x0025; CI (1.5&#x2013;8.5)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Progestogens/estrogens combinations</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;6.1, 95&#x0025; CI (2.1&#x2013;18.1)<xref ref-type="table-fn" rid="table-fn11"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">NSAIDs</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.576, 95&#x0025; CI (1.079&#x2013;6.148)</td>
</tr>
<tr>
<td valign="top" align="left">Progesterone</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.71, 95&#x0025; CI (1.49&#x2013;4.95)</td>
</tr>
<tr>
<td valign="top" align="left">Traditional Chinese medicine</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.86, 95&#x0025; CI (1.36&#x2013;6.00)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Teratogenic drug use</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;5.31, 95&#x0025; CI (3.11&#x2013;9.06)</td>
</tr>
<tr>
<td valign="top" align="left">Oral contraceptives</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.14, 95&#x0025; CI (1.14&#x2013;4.04)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Folate supplementation during pregnancy</th>
</tr>
<tr>
<td valign="top" align="left" colspan="3">No folate intake</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoyt, 2014 (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">U.S. born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;2.74, 95&#x0025; CI (1.55&#x2013;4.84)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanics vs. White, non-Hispanic</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;5.22, 95&#x0025; CI (3.08&#x2013;8.87)<xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Adecuate folate intake</td>
</tr>
<tr>
<td valign="top" align="left">Li, 2014 (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">vs. no intake</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;0.35, 95&#x0025; CI (0.27&#x2013;0.47)<xref ref-type="table-fn" rid="table-fn12a"><sup>d</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">vs. no intake</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;0.25, 95&#x0025; CI (0.16&#x2013;0.38)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Threatened abortion</th>
</tr>
<tr>
<td valign="top" align="left">Lee, 2012 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Yes vs. no</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;3.828, 95&#x0025; CI (1.093&#x2013;13.412)</td>
</tr>
<tr>
<td valign="top" align="left">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Yes vs. no</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.066, 95&#x0025; CI (2.36&#x2013;7.0)</td>
</tr>
<tr>
<td valign="top" align="left">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Yes vs. no</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.91, 95&#x0025; CI (1.25&#x2013;2.91)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">History of spontaneous abortion</th>
</tr>
<tr>
<td valign="top" align="left">Li, 2014 (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">Yes vs. no</td>
<td valign="top">aOR&#x2009;&#x003D;&#x2009;5.16, 95&#x0025; CI (2.88&#x2013;9.24)<xref ref-type="table-fn" rid="table-fn12a"><sup>d</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Yes vs. no</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;6.49, 95&#x0025; CI (2.16&#x2013;19.53)</td>
</tr>
<tr>
<td valign="top" align="left">Wu, 2010 (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">Yes vs. no</td>
<td valign="top"><italic>n</italic>&#x2009;&#x003D;&#x2009;15, 31.73&#x0025;; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.0309<xref ref-type="table-fn" rid="table-fn13a"><sup>e</sup></xref></td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Abnormal pregnancy history</th>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Chen, 2022 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;4.86, 95&#x0025; CI (3.23&#x2013;7.29)</td>
</tr>
<tr>
<td valign="top" align="left">Vaginal bleeding</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.16, 95&#x0025; CI (1.42&#x2013;3.28)</td>
</tr>
<tr>
<td valign="top" align="left">Liu, 2018 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Anemia during first trimester</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;1.902, 95&#x0025; CI (1.026&#x2013;3.526)</td>
</tr>
<tr>
<td valign="top" align="left">Garcia, 2009 (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">NS</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;2.39, 95&#x0025; CI (1.01&#x2013;5.67)</td>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Immunization before pregnancy</th>
</tr>
<tr>
<td valign="top" align="left">Lee, 2012 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Rubella</td>
<td valign="top">OR&#x2009;&#x003D;&#x2009;0.214, 95&#x0025; CI (0.115&#x2013;0.400)</td>
</tr>
<tr>
<td valign="top" align="left">Guo, 2021 (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="left">Predictive nomogram for maternal age, miscarriage frequency, virus infection, anemia, progesterone, paternal alcohol intake and topography of living areas</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;965)<break/>C-index&#x2009;&#x003D;&#x2009;0.755, 95&#x0025; CI, 0.703&#x2013;0.807, adjusted C-index&#x2009;&#x003D;&#x2009;0.749</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn8"><p>Isolated cases: anotia/microtia with no other structural anomaly diagnosis, non-isolated cases: anotia/microtia with the presence of other structural anomalies (excluding chromosomal anomalies), NS, not specified; OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval.</p></fn>
<fn id="table-fn9"><label><sup>a</sup></label>
<p>Adjusted for pregnancy BMI, age, education, folic acid, gestational diabetes, smoking, alcohol intake, annual household income, and study center.</p></fn>
<fn id="table-fn10"><label><sup>b</sup></label>
<p>Adjusted for maternal age, race/ethnicity, border residence, maternal birthplace, maternal education, year of infant birth, and infant sex.</p></fn>
<fn id="table-fn11"><label><sup>c</sup></label>
<p>Adjusted by sex, maternal age, hospital, and year of birth.</p></fn>
<fn id="table-fn12a"><label><sup>d</sup></label>
<p>Adjusted by gender, age, region, syndrome, and family history.</p></fn>
<fn id="table-fn13a"><label><sup>e</sup></label>
<p>Risk factor prevalence.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T6" position="float"><label>Table 6</label>
<caption><p>Risk factors for microtia/anotia compared by all, isolated, and non-isolated cases.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Risk factors for microtia/anotia</th>
<th valign="top" align="center" colspan="3">OR (95&#x0025; CI)</th>
</tr>
<tr>
<th valign="top" align="center">All cases</th>
<th valign="top" align="center">Isolated cases</th>
<th valign="top" align="center">Immunization before pregnancy</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Shaw, 2004 (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" rowspan="8">NR</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;160)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;389)</td>
</tr>
<tr>
<td valign="top" align="left">White, non-Hispanic</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
</tr>
<tr>
<td valign="top" align="left">U.S. born Hispanic</td>
<td valign="top">4.6 (2.4&#x2013;9.1)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
<td valign="top">2.0 (1.4&#x2013;2.9)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Foreign born Hispanic</td>
<td valign="top">6.5 (3.5&#x2013;12.1)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
<td valign="top">1.8 (1.3&#x2013;2.5)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Asian</td>
<td valign="top">3.2 (1.4&#x2013;7.4)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Maternal age 30&#x2013;34 (vs. 20&#x2013;24)</td>
<td valign="top">NR</td>
<td valign="top">1.4 (1.0&#x2013;1.9)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Male infant (vs. female)</td>
<td valign="top">NR</td>
<td valign="top">1.2 (1.0&#x2013;1.5)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Education &#x003E;12 years (vs. &#x003C;12 years)</td>
<td valign="top">NR</td>
<td valign="top">0.6 (0.4&#x2013;0.8)<xref ref-type="table-fn" rid="table-fn15"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Ma, 2010 (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;410)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;297)</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">No intake</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">Periconceptional vitamin (Folic acid) intake</td>
<td valign="top">NR</td>
<td valign="top">0.69 (0.49&#x2013;0.98)<xref ref-type="table-fn" rid="table-fn16"><sup>b</sup></xref></td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">Non-obese women periconceptional vitamin (Folic acid) intake</td>
<td valign="top">0.63 (0.44&#x2013;0.91)<xref ref-type="table-fn" rid="table-fn16"><sup>b</sup></xref></td>
<td valign="top">0.51 (0.34&#x2013;0.77)<xref ref-type="table-fn" rid="table-fn16"><sup>b</sup></xref></td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">Ma, 2012 (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;368)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;273)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;95)</td>
</tr>
<tr>
<td valign="top" align="left">Adequate intake</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Low carbohydrate intake</td>
<td valign="top">1.59 (1.07&#x2013;2.38)<xref ref-type="table-fn" rid="table-fn17"><sup>c</sup></xref></td>
<td valign="top">1.73 (1.09&#x2013;2.73)<xref ref-type="table-fn" rid="table-fn17"><sup>c</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Low glycemic load</td>
<td valign="top">1.48 (1.00&#x2013;2.19)<xref ref-type="table-fn" rid="table-fn17"><sup>c</sup></xref></td>
<td valign="top">NR</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">High cysteine intake</td>
<td valign="top">NR</td>
<td valign="top">NR</td>
<td valign="top">2.12 (1.09&#x2013;4.13)<xref ref-type="table-fn" rid="table-fn17"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Low folate intake</td>
<td valign="top">1.57 (1.09&#x2013;2.25)<xref ref-type="table-fn" rid="table-fn17"><sup>c</sup></xref></td>
<td valign="top">1.55 (1.02&#x2013;2.36)<xref ref-type="table-fn" rid="table-fn17"><sup>c</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Van Bennekom, 2013 (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;411)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;296)</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">No exposure</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">NSAIDs</td>
<td valign="top">1.3 (1.0&#x2013;1.8)<xref ref-type="table-fn" rid="table-fn18"><sup>d</sup></xref></td>
<td valign="top">1.2 (1.0&#x2013;1.6)<xref ref-type="table-fn" rid="table-fn18"><sup>d</sup></xref></td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">Maternal diabetes</td>
<td valign="top">3.4 (1.3&#x2013;8.5)<xref ref-type="table-fn" rid="table-fn18"><sup>d</sup></xref></td>
<td valign="top">7.2 (3.9&#x2013;13.1)<xref ref-type="table-fn" rid="table-fn18"><sup>d</sup></xref></td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">Pre-existing Hypertension</td>
<td valign="top">NR</td>
<td valign="top">1.6 (1.0&#x2013;2.5)<xref ref-type="table-fn" rid="table-fn18"><sup>d</sup></xref></td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">Multiple gestation</td>
<td valign="top">NR</td>
<td valign="top">2.5 (1.5&#x2013;4.2)<xref ref-type="table-fn" rid="table-fn18"><sup>d</sup></xref></td>
<td valign="top"/>
</tr>
<tr>
<td valign="top" align="left">Deng, 2016 (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;1,933)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;1,419)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;514)</td>
</tr>
<tr>
<td valign="top" align="left">Male infant (vs. female)</td>
<td valign="top">1.29 (1.18&#x2013;1.41)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">1.38 (1.24&#x2013;2.53)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Maternal urban residence (vs. rural)</td>
<td valign="top">1.19 (1.08&#x2013;1.32)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">1.29 (1.15&#x2013;1.46)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Maternal age 20&#x2013;24</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Maternal age: 30&#x2013;34</td>
<td valign="top">1.18 (1.03&#x2013;1.36)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">1.20 (1.03&#x2013;1.41)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Maternal age &#x2265;35</td>
<td valign="top">1.42 (1.18&#x2013;1.72)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">1.26 (1.01&#x2013;1.57)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
<td valign="top">1.92 (1.39&#x2013;2.62)<xref ref-type="table-fn" rid="table-fn19a"><sup>e</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Ryan, 2019 (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;699)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;480)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;219)</td>
</tr>
<tr>
<td valign="top" align="left">Male infant (vs. female)</td>
<td valign="top">1.29 (1.10&#x2013;1.50)</td>
<td valign="top">1.36 (1.13&#x2013;1.64)</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Multifetal gestation (vs. singleton)</td>
<td valign="top">1.68 (1.16&#x2013;2.42)</td>
<td valign="top">NR</td>
<td valign="top">2.67 (1.58&#x2013;4.49)</td>
</tr>
<tr>
<td valign="top" align="left">Gestational age &#x003E;37 weeks</td>
<td valign="top">Reference</td>
<td valign="top">NR</td>
<td valign="top">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Gestational age &#x003C;32 weeks</td>
<td valign="top">3.63 (2.42&#x2013;5.45)</td>
<td valign="top">NR</td>
<td valign="top">10.24 (6.24&#x2013;16.80)</td>
</tr>
<tr>
<td valign="top" align="left">Gestational age 32&#x2013;36</td>
<td valign="top">2.46 (1.99&#x2013;3.03)</td>
<td valign="top">NR</td>
<td valign="top">5.45 (4.02&#x2013;7.40)</td>
</tr>
<tr>
<td valign="top" align="left">BMI&#x2009;&#x2265;&#x2009;30 (vs. 18.5&#x2013;25)</td>
<td valign="top">NR</td>
<td valign="top">NR</td>
<td valign="top">1.65 (1.18&#x2013;2.31)</td>
</tr>
<tr>
<td valign="top" align="left">No history of diabetes</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Type I diabetes</td>
<td valign="top">9.89 (5.46&#x2013;17.92)<xref ref-type="table-fn" rid="table-fn20a"><sup>f</sup></xref></td>
<td valign="top">4.93 (1.99&#x2013;12.18)<xref ref-type="table-fn" rid="table-fn20a"><sup>f</sup></xref></td>
<td valign="top">23.48 (12.03&#x2013;45.83)<xref ref-type="table-fn" rid="table-fn20a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Type II diabetes</td>
<td valign="top">4.70 (2.56&#x2013;8.63)<xref ref-type="table-fn" rid="table-fn20a"><sup>f</sup></xref></td>
<td valign="top">NR</td>
<td valign="top">13.91 (7.17&#x2013;26.96)<xref ref-type="table-fn" rid="table-fn20a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Gestational diabetes</td>
<td valign="top">NR</td>
<td valign="top">NR</td>
<td valign="top">1.62 (1.04&#x2013;2.52)<xref ref-type="table-fn" rid="table-fn20a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">No drinking and no smoking</td>
<td valign="top">Reference</td>
<td valign="top">NR</td>
<td valign="top">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Binge drinking</td>
<td valign="top">1.84 (1.06&#x2013;3.21)</td>
<td valign="top">NR</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Smoking &#x2265;5 cigarettes daily</td>
<td valign="top">NR</td>
<td valign="top">NR</td>
<td valign="top">1.70 (1.12&#x2013;2.59)<xref ref-type="table-fn" rid="table-fn20a"><sup>f</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Schraw, 2023 (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;1,322)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;982)</td>
<td valign="top">(<italic>n</italic>&#x2009;&#x003D;&#x2009;340)</td>
</tr>
<tr>
<td valign="top" align="left">Male infant (vs. female)</td>
<td valign="top">1.31 (1.17&#x2013;1.46)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">1.34 (1.18&#x2013;1.53)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">2.73 (1.87&#x2013;3.99)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">White, non-Hispanic</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Hispanic</td>
<td valign="top">2.90 (2.48&#x2013;3.39)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">2.89 (2.41&#x2013;3.46)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Non-Hispanic other</td>
<td valign="top">1.72 (1.27&#x2013;2.33)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">1.67 (1.18&#x2013;2.38)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Black, Non-Hispanic</td>
<td valign="top">0.55 (0.39&#x2013;0.76)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">0.41 (0.27&#x2013;0.64)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;High school education</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;High school education</td>
<td valign="top">1.25 (1.08&#x2013;1.45)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">1.29 (1.09&#x2013;1.54)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">No history of diabetes</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
<td valign="top">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Maternal diabetes</td>
<td valign="top">2.0 (1.64&#x2013;2.44)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">1.35 (1.03&#x2013;1.76)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">4.53 (3.21&#x2013;6.40)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Pregestational diabetes</td>
<td valign="top">5.13 (3.59&#x2013;7.33)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
<td valign="top">12.9 (7.8&#x2013;21.4)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Gestational diabetes</td>
<td valign="top">1.66 (1.27&#x2013;5.15)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Maternal age 30&#x2013;39 (vs. 20&#x2013;29)</td>
<td valign="top">1.13 (1.01&#x2013;1.28)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">1.27 (1.10&#x2013;1.47)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
</tr>
<tr>
<td valign="top" align="left">Multiple births (vs. singletons)</td>
<td valign="top">NR</td>
<td valign="top">NR</td>
<td valign="top">2.48 (1.46&#x2013;4.19)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Residence in border county</td>
<td valign="top">NR</td>
<td valign="top">0.83 (0.70&#x2013;0.99)<xref ref-type="table-fn" rid="table-fn21"><sup>g</sup></xref></td>
<td valign="top">NR</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn14"><p>Isolated cases: anotia/microtia with no other structural anomaly diagnosis, non-isolated cases: anotia/microtia with the presence of other structural anomalies (excluding chromosomal anomalies), OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval; NR, not reported.</p></fn>
<fn id="table-fn15"><label><sup>a</sup></label>
<p>Adjusted for maternal race/ethnicity, education, age, parity, plurality, and infant sex.</p></fn>
<fn id="table-fn16"><label><sup>b</sup></label>
<p>Adjusted for maternal race/ethnicity, education, and study site.</p></fn>
<fn id="table-fn17"><label><sup>c</sup></label>
<p>Adjusted for maternal race/ethnicity, education, intake of supplements containing folic acid, fertility treatment, study site and total energy intake.</p></fn>
<fn id="table-fn18"><label><sup>d</sup></label>
<p>Adjusted for maternal race/ethnicity, education, periconceptional folic acid use, and study center.</p></fn>
<fn id="table-fn19a"><label><sup>e</sup></label>
<p>Adjusted for geographic area, maternal residence, maternal age, and infant sex.</p></fn>
<fn id="table-fn20a"><label><sup>f</sup></label>
<p>Adjusted for maternal education, birthplace, and race/ethnicity.</p></fn>
<fn id="table-fn21"><label><sup>g</sup></label>
<p>Adjusted for factors associated with the index outcomes at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 in univariable models.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Risk factors by demographics and parental health behaviors include:
<list list-type="simple">
<list-item><label>(a)</label>
<p>Parental age. One study reported that Hispanic mothers have higher risk of congenital ear malformations, compared to non-Hispanic white mothers for almost all age groups (<xref ref-type="bibr" rid="B26">26</xref>). Conversely, maternal, and paternal age &#x2265;30 was associated with increased odds of microtia/anotia compared to those of younger age in two studies (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B38">38</xref>), and in three studies, mothers of &#x003E;30 years compared to mothers &#x003C;30 years for isolated, non-isolated, and all cases of microtia/anotia (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Another study reported that mothers of 25&#x2013;29 years have a higher risk compared with control group (<xref ref-type="bibr" rid="B32">32</xref>). And one that there is a statistically significant difference (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) between maternal mean age compared to controls (<xref ref-type="bibr" rid="B45">45</xref>).</p></list-item>
<list-item><label>(b)</label>
<p>Maternal race/ethnicity. Multiple studies reported the risk association with maternal race/ethnicity, showing an increased risk for Hispanics compared to other groups (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>), and for isolated, non-isolated and all cases combined (<xref ref-type="bibr" rid="B33">33</xref>), and one also reporting increased risk in Asians for isolated cases (<xref ref-type="bibr" rid="B36">36</xref>). Some studies reported that African Americans have significant less risk of external ear malformations compared with other groups (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>), and one compared to with isolated and all cases of microtia/anotia (<xref ref-type="bibr" rid="B33">33</xref>).</p></list-item>
<list-item><label>(c)</label>
<p>Parental education. Less educated parents (high school or less/&#x003C;12 years of education) showed higher risk of having a newborn with congenital ear malformations in four studies (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B38">38</xref>), one for Hispanic mothers compared to non-Hispanics regarding educational level (<xref ref-type="bibr" rid="B26">26</xref>), and other a decreased risk for mothers with &#x2265;12 years of education (<xref ref-type="bibr" rid="B36">36</xref>).</p></list-item>
<list-item><label>(d)</label>
<p>Maternal employment and household income. One study reported a greater risk for maternal employment outside of home, compared to housewives (<xref ref-type="bibr" rid="B24">24</xref>), and one for household income ranging from &#x003C;10,000 to &#x2265;40,000 (USD) for Hispanics compared to non-Hispanic whites (<xref ref-type="bibr" rid="B26">26</xref>).</p></list-item>
<list-item><label>(e)</label>
<p>Parental residential area and altitude. One study reported a higher risk for external ear malformations in patients with urban residency compared with those with rural residency (<xref ref-type="bibr" rid="B42">42</xref>), other showed a greater risk for isolated cases of microtia/anotia (<xref ref-type="bibr" rid="B39">39</xref>) and one reported in risk for urban residency (<xref ref-type="bibr" rid="B35">35</xref>), while other reported the opposite (<xref ref-type="bibr" rid="B21">21</xref>). Only one study reported moderate altitude (1,511&#x2013;2,426&#x2005;m) as a risk factor, compared with lower altitudes [&#x003C;1,499&#x2005;m] (<xref ref-type="bibr" rid="B34">34</xref>), and one a decreased risk for mothers living in U.S.A-Mexico border counties, compared to other U.S.A counties (<xref ref-type="bibr" rid="B33">33</xref>).</p></list-item>
<list-item><label>(f)</label>
<p>Parental chemical exposure. One study reported an association between chemical exposure such as formaldehyde, pesticides, and organic solvents, during the first trimester of pregnancy, and a significantly higher risk of having a child with severe microtia/atresia; medicines like progesterone; traditional Chinese medicines, such as <italic>radix isatidis</italic>, pseudo-ginseng and goldthread root; and NSAIDs (nonsteroidal anti-inflammatory drugs), were also significantly associated (<xref ref-type="bibr" rid="B27">27</xref>). Four studies showed that congenital ear malformations increase with parental chemical exposure, including heavy metals, dust, and SO<sub>2</sub> exposure during the 3 months before conception and the 3 months after conception (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>), two reported environmental pollution as a risk factor for congenital microtia (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B30">30</xref>). The association between parental drinking and smoking habits were reported by multiple studies; one study showed an association with alcohol and congenital microtia compared with non-drinkers (<xref ref-type="bibr" rid="B35">35</xref>), two with smoking &#x2265;1 cigarette a day compared to non-smokers (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B30">30</xref>), and one for smoking 1 month before to 3 months after conception compared to non-Hispanic whites (<xref ref-type="bibr" rid="B26">26</xref>). One reported increased risk only for binge drinking, associated with all cases of microtia/anotia, and smoking &#x2265;5 cigarettes daily for non-isolated cases (<xref ref-type="bibr" rid="B29">29</xref>). Finally, only one study showed a significant risk increase of congenital microtia with pet contact during pregnancy (<xref ref-type="bibr" rid="B21">21</xref>).</p></list-item>
<list-item><label>(g)</label>
<p>Family history of congenital ear malformations. Two studies showed a greater risk for congenital ear malformations on those with family history of malformations (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>).</p></list-item>
</list>Risk factors by pregnancy characteristics and parental clinical features, are shown in <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>, and include:
<list list-type="simple">
<list-item><label>(a)</label>
<p>Infant sex. Multiple studies reported higher risk of congenital ear malformations in male infants compared to females (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). Some reported similar results but comparing between isolated, non-isolated, and all cases combined of microtia/anotia (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>). While only one study showed increased risk for both male and females for U.S. born and foreign-born Hispanics compared to non-Hispanics (<xref ref-type="bibr" rid="B26">26</xref>).</p></list-item>
<list-item><label>(b)</label>
<p>Gestational age and weight. Four authors showed increased risk of congenital external ear malformations for premature newborns compared to full-term newborns (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B44">44</xref>), and one for premature (32&#x2013;36 weeks), and very premature (&#x003C;32 weeks) newborns for non-isolated and all cases of microtia/anotia (<xref ref-type="bibr" rid="B29">29</xref>).</p></list-item>
<list-item><label>(c)</label>
<p>Maternal BMI and gestational diabetes. One study compared the risk association of pregnancy BMI and gestational diabetes for isolated microtia/anotia in U.S. born and foreign-born Hispanics compared to non-Hispanic whites, showing risk for all of the maternal BMI groups, and a greater risk for those with BMI &#x2265;30 (<xref ref-type="bibr" rid="B26">26</xref>), one study for BMI &#x2265;30 compared to a BMI of 18.5&#x2013;25, and gestational diabetes for isolated cases (<xref ref-type="bibr" rid="B29">29</xref>), and one of maternal diabetes for isolated and all cases combined, with a greater risk for non-isolated cases, and gestational diabetes for all cases (<xref ref-type="bibr" rid="B33">33</xref>).</p></list-item>
<list-item><label>(d)</label>
<p>Parental chronic diseases. Two studies reported an increased risk for microtia/anotia with maternal and paternal chronic diseases (<xref ref-type="bibr" rid="B30">30</xref>), and maternal chronic diseases (<xref ref-type="bibr" rid="B24">24</xref>), although no specific illness is mentioned, and one of mothers with chronic diabetes (<xref ref-type="bibr" rid="B31">31</xref>). One study reported higher risk for microtia/anotia with maternal diabetes (type I and II) in isolated and all cases of microtia/anotia, and with pre-existing hypertension with isolated cases (<xref ref-type="bibr" rid="B25">25</xref>), other showed increased risk with type I diabetes for all cases, including isolated and non-isolated, while type II increased the risk significantly only for non-isolated cases (<xref ref-type="bibr" rid="B29">29</xref>), and one study for maternal diabetes and pregestational diabetes for all cases, isolated and non-isolated, and for non-isolated and all cases respectively (<xref ref-type="bibr" rid="B33">33</xref>).</p></list-item>
<list-item><label>(e)</label>
<p>Maternal medication and nutrition. Six studies showed a significant risk for external ear malformations in mothers taking medication during pregnancy, including analgesics (NSAIDs), antibiotics, antiemetics, antihypertensives, antispasmodics, oral contraceptives, and traditional Chinese medicine (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B35">35</xref>). One showing that low folate intake increased the risk for isolated and all cases of microtia (<xref ref-type="bibr" rid="B23">23</xref>), and one showing higher risk in U.S. and foreign born Hispanics, than non-Hispanic white population (<xref ref-type="bibr" rid="B26">26</xref>); conversely, adequate periconceptional folate intake showed a marked reduction of risks in two studies (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>), and one showed a risk reduction for isolated cases, isolated cases and all cases for non-obese women, without significant results in non-isolated cases (<xref ref-type="bibr" rid="B22">22</xref>).</p></list-item>
<list-item><label>(f)</label>
<p>Pregnancy complications and infections. Three studies reported greater risk for external ear malformations of mothers with abnormal pregnancies, including vaginal bleeding and anemia during the first trimester (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Seven studies reported a significant increase of congenital external ear malformations with maternal infections during pregnancy (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B43">43</xref>), particularly in those presenting with viral infections and cold-like symptoms during pregnancy (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B43">43</xref>), and only one reported rubella vaccination before pregnancy to have a protective effect (<xref ref-type="bibr" rid="B35">35</xref>).</p></list-item>
<list-item><label>(g)</label>
<p>Miscarriages. Two studies showed the risks of having an infant with congenital external ear malformations with threated abortion (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B35">35</xref>), two with history of spontaneous abortion (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B43">43</xref>), and one with both threatened abortion and history of miscarriages (<xref ref-type="bibr" rid="B27">27</xref>).</p></list-item>
<list-item><label>(h)</label>
<p>Multiple pregnancies. Four studies showed that the risk of congenital ear malformations increased with multiple pregnancies and deliveries compared with primiparas (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B37">37</xref>), and one showed an increased risk for non-singletons compared to singletons (<xref ref-type="bibr" rid="B31">31</xref>). One study reported higher risk of non-singletons for non-isolated and all cases of microtia/anotia (<xref ref-type="bibr" rid="B29">29</xref>), one only for isolated cases (<xref ref-type="bibr" rid="B25">25</xref>), and another only for non-isolated cases (<xref ref-type="bibr" rid="B33">33</xref>).</p></list-item>
<list-item><label>(i)</label>
<p>Finally, one study compiled a predictive nomogram for maternal age, history of miscarriages, viral infections, anemia, progesterone use, paternal alcohol use, and topography of resident areas (<xref ref-type="bibr" rid="B40">40</xref>).</p></list-item>
</list><xref ref-type="table" rid="T7">Table&#x00A0;7</xref> summarizes some of the most reported defects and syndromes associated with external ear malformations from the included studies. The most common deformations associated with non-isolated cases of external ear malformations were cleft lip/palate, congenital heart defects, musculoskeletal deformities of skull, face and jaw, and preauricular tags and fistulas (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B45">45</xref>). The multiple syndromes reported, include trisomy 18, 13, 21, Treacher-Collins, Nager syndrome, EEC syndrome, 4p- (Wolf-Hirschhorn) syndrome, X-linked dominant chondrodysplasia punctata, 22q11.2 deletion syndrome, and OAVS (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B45">45</xref>).</p>
<table-wrap id="T7" position="float"><label>Table 7</label>
<caption><p>Associated defects and syndromes with external ear malformations by study.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Associated defects and syndromes</th>
<th valign="top" align="center">n (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Shaw et al. (<xref ref-type="bibr" rid="B36">36</xref>)<break/>Dermatoglyphic and other skin anomalies<break/>Skull/face bones anomalies<break/>Choanal atresia and other nose anomalies<break/>Other ear anomalies<break/>Musculoskeletal deformities of skull, face, and jaw</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;389<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>173 (44.4)<break/>165 (42.4)<break/>113 (29.1)<break/>112 (28.8)<break/>91 (23.4)</td>
</tr>
<tr>
<td valign="top" align="left">Forrester and Merz (<xref ref-type="bibr" rid="B37">37</xref>)<break/>Trisomy 18<break/>Trisomy 21<break/>Trisomy 13<break/>Chromosome 9 deletion</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;9<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>4 (44.4)<break/>3 (33.3)<break/>1 (11.1)<break/>1 (11.1)</td>
</tr>
<tr>
<td valign="top" align="left">Canfield et al. (<xref ref-type="bibr" rid="B38">38</xref>)<break/>Trisomy 21<break/>Trisomy 18<break/>Trisomy 13<break/>Treacher-Collins<break/>Unknown syndromes</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;121<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>6 (4.9)<break/>16 (13.2)<break/>12 (9.9)<break/>19 (15.7)<break/>38 (31)</td>
</tr>
<tr>
<td valign="top" align="left">Wu et al. (<xref ref-type="bibr" rid="B43">43</xref>)<break/>Hemifacial microsomia<break/>Preauricular tags<break/>Cleft lip/palate<break/>Congenital heart problems<break/>Preaxal polydactyly</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;150<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>131 (37.97)<break/>87 (25.21)<break/>5 (1.45)<break/>2 (0.58)<break/>2 (0.58)</td>
</tr>
<tr>
<td valign="top" align="left">Lee et al. (<xref ref-type="bibr" rid="B35">35</xref>)<break/>Hemifacial microsomia<break/>Preauricular skin tags<break/>Cleft lip/palate<break/>Other</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;131<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>107 (28.6)<break/>45 (12)<break/>6 (1.6)<break/>4 (0.8)</td>
</tr>
<tr>
<td valign="top" align="left">Yamauchi et al. (<xref ref-type="bibr" rid="B45">45</xref>)<break/>Congenital heart disease<break/>Cleft lip/palate<break/>Vertebral defects<break/>Anomalies of extremities<break/>Individual cases<break/>Treacher-Collins syndrome<break/>Nager syndrome<break/>EEC syndrome<break/>4p- (Wolf-Hirschhorn) syndrome<break/>X-linked dominant chondrodysplasia punctata<break/>22q11.2 deletion syndrome<break/>21 monosomy</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;57<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>20 (5)<break/>16 (4)<break/>7 (2)<break/>7 (2)</td>
</tr>
<tr>
<td valign="top" align="left">Van Bennekom et al. (<xref ref-type="bibr" rid="B25">25</xref>)<break/>OAVS and cardiac defects<break/>OAVS, cardiac defects and hydrocephaly<break/>OAVS and cleft lip/palate<break/>OAVS, sacral agenesis and cardiac defects<break/>Microtia, sacral agenesis, cardiac and central nervous system defects<break/>Microtia, cleft palate, cardiac defects, and limb deficiency<break/>Microtia, cardiac defects and either sacral agenesis, clubfeet, or hydrocephaly<break/>Microtia and cardiac defects</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;14<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>3 (21.4)<break/>1 (7.1)<break/>1 (7.1)<break/>1 (7.1)<break/>1 (7.1)<break/>1 (7.1)<break/>3 (21.4)<break/>3 (21.4)</td>
</tr>
<tr>
<td valign="top" align="left">Li et al. (<xref ref-type="bibr" rid="B28">28</xref>)<break/>Mandibular dysplasia<break/>Pre-auricular fistulas or tags<break/>Eye defects<break/>Tragus defects<break/>Cleft lip/palate<break/>Cardiac defects<break/>Other defects (polydactyly, spinal defects, and anosmia)</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;278<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>168 (18.4)<break/>80 (8.78)<break/>23 (2.52)<break/>17 (1.87)<break/>10 (1.10)<break/>4 (0.44)<break/>9 (0.99)</td>
</tr>
<tr>
<td valign="top" align="left">Guo et al. (<xref ref-type="bibr" rid="B40">40</xref>)<break/>Hemifacial microsomia<break/>Pre-auricular tags<break/>Facial paralysis<break/>Congenital heart defects<break/>Pre-auricular fistula<break/>Hemifacial tags<break/>Macrostomia<break/>Mandibular micrognathia<break/>Epibulbar dermoid<break/>Orbital hypertelorism<break/>Other defects (strabismus, blepharoptosis, scoliosis, duplex kidney and iridocoloboma)</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;392<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>335 (34.7)<break/>248 (25.7)<break/>106 (11.0)<break/>85 (8.8)<break/>55 (5.7)<break/>29 (3.0)<break/>29 (3.0)<break/>17 (1.8)<break/>11 (1.1)<break/>11 (1.1)<break/>20 (2)</td>
</tr>
<tr>
<td valign="top" align="left">Schraw et al. (<xref ref-type="bibr" rid="B33">33</xref>)<break/>Central nervous system deformities<break/>Eye deformities<break/>Cardiovascular deformities<break/>Cleft lip/palate<break/>Urinary deformities<break/>Musculoskeletal deformities</td>
<td valign="top" align="left"><italic>n</italic>&#x2009;&#x003D;&#x2009;340<xref ref-type="table-fn" rid="table-fn20">&#x002A;</xref><break/>50 (14.7)<break/>20 (5.9)<break/>214 (62.9)<break/>43 (12.6)<break/>81 (23.9)<break/>51 (15)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn20"><label>&#x002A;</label>
<p>Some cases presented multiple defects/malformations. OAVS, oculo-auriculo-vertebral spectrum.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>This review aimed to compile and analyze the literature describing external ear congenital anomalies occurrence, characteristics, and associated factors. Congenital anomalies of the external ear vary widely in type and severity, while severe malformations such as anotia/microtia are uncommon. The frequency reported by the studies in this review ranged from 0.21 to 4.34 cases per 10,000 live births (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B46">46</xref>), higher than the reported by the literature of 0.8 to 2.4 per 10 000 live births (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). This variation might be due to inclusion criteria or higher rates reported in certain regions in comparison with other countries.</p>
<p>The studies reviewed show that external ear anomalies are more frequent in males, usually unilateral, more often in the right ear, Hispanic and Asian populations show higher prevalence compared to other ethnicities. Paternal and maternal age, environmental and pharmacological exposures, pregnancy, or perinatal related complications have been also associated with congenital ear malformations. From the studies presented in this review, twenty-three reported a frequency ranging from 47.1&#x0025; to 78.5&#x0025; for males (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>). This is consistent with other studies reporting male predominance: 68.6&#x0025; in China (<xref ref-type="bibr" rid="B27">27</xref>), 58&#x0025; in Finland (<xref ref-type="bibr" rid="B46">46</xref>), 60&#x0025; in the United States (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B49">49</xref>) and 54&#x0025; in Hungary (<xref ref-type="bibr" rid="B50">50</xref>). It is worth noticing that both male and female, show similar severity grades (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>The reports included in this review show that 84&#x0025; of external ear anomalies are unilateral, and mostly on the right ear (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B45">45</xref>), consistent with the information presented in other studies (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>). The mechanisms for this predominance are still unclear; some authors have hypothesized that the greater prevalence of unilateral microtia cases may be related to a localized effect during embryogenesis, resulting in occlusion of a single vessel and thus, causing unilateral alterations (<xref ref-type="bibr" rid="B54">54</xref>). This has been attributed to a reduced or complete loss of blood flow to pharyngeal arches, resulting in hypoxia and damage to normal tissue (<xref ref-type="bibr" rid="B55">55</xref>), due to the interruption of blood flow to previously formed tissue, vasoconstriction, or underdevelopment of the arterial system required for adequate blood supply to the developing tissues (<xref ref-type="bibr" rid="B56">56</xref>). However, epidemiological, or experimental data are insufficient to support this hypothesis; and furthermore, even malformations caused by genetic alterations occur unilaterally, thus other factors acting through nonvascular mechanisms should be considered (<xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>From the studies reporting ethnicity, nine found a higher prevalence among Hispanics compared to Caucasians and African Americans in the United States (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Population-based studies have shown that the prevalence of external ear anomalies is more common in Asians, Hispanic, and Native American population, than in African American and Caucasian populations (<xref ref-type="bibr" rid="B57">57</xref>&#x2013;<xref ref-type="bibr" rid="B59">59</xref>). This has been widely reported in studies from Mexico, Paraguay, China, Argentina, Chile, Ecuador, and Japan, where the prevalence ranges from 0.14 to 17.4 per 10,000 births (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>), compared to studies from England, Italy, France, Hungary, and the United States of America, where the prevalence ranges between 0.66 to 4.34 per 10,000 births (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B65">65</xref>&#x2013;<xref ref-type="bibr" rid="B73">73</xref>). It is worth considering that prevalence rates are often calculated from live-births records, thus they might be underestimated in populations with high rates of stillbirths and abortions. Furthermore, several factors may relate to ethnicity differences in prevalence. For instance, the higher prevalence rate for Hispanic population in this review, for both US-born and Latin-American Hispanics (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>) could be related to cultural behavior, regional differences, genetic variations, and environmental factors, such as socioeconomic status, nutrition, and prenatal care, or a combination of all (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>Studies report multiple environmental and demographic factors, that may be associated with external ear anomalies: parental age, education level, maternal employment, household income, residential area, altitude, environmental/chemical exposure during the three months before or after conception, drinking and smoking have shown to increase the risk of developing external ear malformations (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B45">45</xref>). Altitude has an important impact on external ear malformations in some countries in South America. For instance, there is a higher prevalence for microtia in Quito, Ecuador; La Paz, Bolivia; and Bogota, Colombia, that have higher altitude compared to other countries in South America (<xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>). This is supported by the evidence of increased circulating levels of catecholamines and inflammatory cytokines during pregnancy, resulting in damage to the developing embryo and in intra-uterine growth restriction, and increased frequency of preeclampsia and stillbirths, in populations living at high-altitude (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>). Pregnancy and perinatal characteristics, as well as parental clinical features have shown to increase the risk of developing external ear anomalies. Among them: male sex, prematurity, low gestational weight, high maternal BMI, gestational diabetes, chronic illness, viral infections (common cold and influenza), some medications (NSAIDs, antihypertensives, antiemetics, progesterone, traditional Chinese medicines), low periconceptional vitamin intake, previous history of threatened abortion, bleeding, and anemia during the first trimester of pregnancy (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>). Several risk factors differed between isolated and non-isolated cases of microtia/anotia. In the reviewed articles, the risk factors reported in isolated cases included: being of Asian and Hispanic descent (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>), low carbohydrate and folate intake (<xref ref-type="bibr" rid="B23">23</xref>), NSAIDs use, pre-existing maternal hypertension, multiple gestations (<xref ref-type="bibr" rid="B25">25</xref>), maternal education below high school (<xref ref-type="bibr" rid="B33">33</xref>), and urban residency (<xref ref-type="bibr" rid="B39">39</xref>); and protective factors were periconceptional folic acid intake (<xref ref-type="bibr" rid="B22">22</xref>) and maternal residence in border counties (<xref ref-type="bibr" rid="B33">33</xref>). Risk factors reported in non-isolated cases included: high cysteine intake (<xref ref-type="bibr" rid="B23">23</xref>), smoking &#x2265;5 cigarettes daily, prematurity, BMI &#x2265;30 (<xref ref-type="bibr" rid="B29">29</xref>), multiple births (<xref ref-type="bibr" rid="B33">33</xref>), and pre-gestational and gestational diabetes (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>); and maternal education above 12 years was reported as a protective factor (<xref ref-type="bibr" rid="B36">36</xref>). Notably, maternal diabetes has been consistently linked to a slight but significant increase in the risk of non-isolated cases of microtia/anotia by multiple studies (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B79">79</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>).</p>
<p>These factors might disrupt the very complex sequence in the development of the external ear, but the mechanisms are not fully understood. This sequence can also be disrupted by mechanical trauma; as the external surface of the developing embryo is in close contact with the uterine wall, where increased tissue fragility or reduced cell-specific adhesiveness may increase the embryos susceptibility to physical or mechanical trauma (<xref ref-type="bibr" rid="B82">82</xref>), or in local vascular disruptions and transient focal tissue ischemia (<xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>Some genetic studies have shown possible associations between gene mutations and their effect on the pharyngeal arches and external ear malformations. One of the most studied is <italic>HOXA2</italic>, an important transcriptional regulator for ear development (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>), suggesting that <italic>HOXA2</italic> may be fundamental in orchestrating the auricle morphogenesis (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>). Furthermore, twin studies, particularly those monozygotic with shared genotype, have also demonstrated a strong genetic association (<xref ref-type="bibr" rid="B87">87</xref>), suggesting that apart from environmental factors and behavioral factors, these malformations may also be linked genetically.</p>
<p>Multiple pregnancies have been reported to increase the risk of external ear malformations (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B37">37</xref>), and more frequently in those by assisted reproduction techniques (<xref ref-type="bibr" rid="B44">44</xref>). Studies of <italic>In-vitro Fertilization</italic> (IVF) and <italic>intracytoplasmic sperm injection</italic> (ICSI) compared with those conceived naturally have shown a significantly higher risk of congenital malformations (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>), including eye, ear, face, and neck malformations (<xref ref-type="bibr" rid="B89">89</xref>&#x2013;<xref ref-type="bibr" rid="B91">91</xref>). It has been reported that the techniques used with these procedures, such as medications used to induce ovulation and/or to maintain the pregnancy, culture media composition, length of time in culture, the freezing of embryos, among others, may be involved (<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>). However, the specific ear malformations were not mentioned in these studies, thus further research is needed to define the type of ear malformations that are associated with these techniques.</p>
<p>Other factors such as consanguinity have been studied, with some studies reporting cases of autosomal-recessive and non-syndromic forms of bilateral microtia in consanguineous families (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>) However, the information about this topic is limited, and the association with external ear anomalies is still unclear.</p>
<p>Congenital external ear malformations may occur as an isolated defect, or with other defects and syndromes. Cleft lip/palate, congenital heart defects, musculoskeletal deformities of skull, face and jaw, and preauricular tags and fistulas were the most reported malformation associated with congenital external ear malformations in non-isolated cases (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B43">43</xref>), as reported from multiple studies (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B96">96</xref>). Treacher-Collins, trisomy 18, 13 21, and OAVS were the most reported syndromes (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B45">45</xref>). It is important to note that many syndromes may not be reported due to the requirements for a karyotype to establish a diagnosis (<xref ref-type="bibr" rid="B37">37</xref>), and for those with known diagnosis, certain external ear malformations, such as milder forms of microtia, may be wrongly classified or not reported (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>External ear malformations may relate to hearing loss, particularly in bilateral cases, justifying routine newborn hearing screening for early detection and prompt treatment (<xref ref-type="bibr" rid="B6">6</xref>). Surgical corrections of external ear malformations require a wide understanding of ear anatomy and its development (<xref ref-type="bibr" rid="B10">10</xref>). Over the years many techniques have been used and modified to accomplish optimal functional and aesthetic results. The type of technique depends on the presented malformation and whether the malformation is bilateral or unilateral (<xref ref-type="bibr" rid="B97">97</xref>). Many surgical techniques include cartilage sculpting from autogenous costal cartilage, and the use of sutures to reshape the ear (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B98">98</xref>). Several complications can occur with these techniques, ranging from restenosis and otorrhea, to facial nerve injury, cartilage fracture, ear deformations, tympanic membrane perforation and inner ear trauma, worsening hearing impairment (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B99">99</xref>).</p>
<p>Non-surgical techniques have proven to be highly effective in correcting minor malformations and deformations (such as deformities of the conchal crus, helix, Stahl ears, lidded ears, and prominent ears). Some of the most described techniques include ear molding techniques (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B100">100</xref>, <xref ref-type="bibr" rid="B101">101</xref>), or laser assisted cartilage reshaping (<xref ref-type="bibr" rid="B102">102</xref>), offering an effective approach that can provide optimal results without the need for invasive procedures (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B101">101</xref>, <xref ref-type="bibr" rid="B102">102</xref>).</p>
<p>Missed diagnoses of congenital external ear malformations can result in delayed intervention and thus, speech developmental delays. Hearing screening in newborns has been reported as the most efficient method for early detection of hearing impairment (<xref ref-type="bibr" rid="B6">6</xref>). Once a diagnosis has been made, it is important to carefully select patients, according to strict criteria, including age and absence of sensorineural components of hearing loss, to avoid cases on where surgical intervention may not show favorable results (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B99">99</xref>).</p>
<p>Overall, the results of this review describe several factors associated with congenital external ear anomalies. However, it has some limitations. There are few studies on external ear malformations, most of them focused on anotia/microtia only. Furthermore, the information regarding race/ethnicity predisposition is limited to a few populations, where the cultural aspects may go under-reported. Moreover, no studies were found of these anomalies in fetuses, thus the reports are limited to registered live births. Nevertheless, this review shows the complexity surrounding the external ear development and some of the associated factors that can result in its malformations.</p>
<p>In conclusion, congenital external ear anomalies include a wide variety of malformations that can occur isolated or associated with other malformations or syndromes. It is important to take environmental, cultural, and social aspects into consideration as a possible explanation for the wide variation across populations. External ear anomalies may cause conductive hearing loss, especially in bilateral cases, since the ear structure aids in the transmission of sound to the middle and inner ear and, depending on their type and severity, can lead to speech impediments. This highlights the importance of an early detection, classification, and repair to avoid childhood disability.</p>
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<sec id="s5" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions"><title>Author contributions</title>
<p>AA: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SR: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CA: Conceptualization, Funding acquisition, Methodology, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. LH: Conceptualization, Funding acquisition, Methodology, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. DC: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
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