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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Surg.</journal-id><journal-title-group>
<journal-title>Frontiers in Surgery</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Surg.</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2296-875X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsurg.2025.1731701</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Risk factors for recurrent laryngeal nerve injury following thyroid surgery: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Yang</surname><given-names>Xiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Ouyang</surname><given-names>Wuzhou</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Ma</surname><given-names>Peng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Beijing Anzhen Nanchong Hospital of Capital Medical University &#x0026; Nanchong Central Hospital</institution>, <city>Nanchong</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Sichuan Nanchong No. 1 Middle School</institution>, <city>Nanchong</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Xiang Yang <email xlink:href="mailto:956399591@qq.com">956399591@qq.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-07"><day>07</day><month>01</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1731701</elocation-id>
<history>
<date date-type="received"><day>24</day><month>10</month><year>2025</year></date>
<date date-type="rev-recd"><day>08</day><month>12</month><year>2025</year></date>
<date date-type="accepted"><day>10</day><month>12</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Yang, Ouyang and Ma.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Yang, Ouyang and Ma</copyright-holder><license><ali:license_ref start_date="2026-01-07">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://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.</license-p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Recurrent laryngeal nerve injury is one of the most common and severe complications in thyroid surgery, potentially leading to postoperative hoarseness, dysphagia, or even airway obstruction. Although numerous studies have investigated its risk factors, findings remain inconsistent. This systematic review and meta-analysis aim to synthesize existing evidence and explore risk factors for recurrent laryngeal nerve injury following thyroid surgery.</p>
</sec><sec><title>Methods</title>
<p>A systematic search was conducted in PubMed, Embase, Web of Science, and the Cochrane Library databases from their inception to October 1, 2025, to identify observational studies and randomized controlled trials investigating risk factors for recurrent laryngeal nerve injury following thyroid surgery. Two researchers independently performed literature screening, data extraction, and quality assessment using the Newcastle&#x2013;Ottawa Scale (NOS). Stata 15 software was used to calculate pooled odds ratios (OR) and 95&#x0025; confidence intervals (CI).</p>
</sec><sec><title>Results</title>
<p>A total of 20 articles(<italic>N</italic>&#x2009;&#x003D;&#x2009;108,343) included, meta-analysis results suggest that older age [OR&#x2009;&#x003D;&#x2009;1.45, 95&#x0025; CI (1.26, 1.66)], Female [OR&#x2009;&#x003D;&#x2009;1.15, 95&#x0025; CI (1.03, 1.28)], extended thyroidectomy [OR&#x2009;&#x003D;&#x2009;1.65, 95&#x0025; CI (1.20, 2.27)], node dissection [OR&#x2009;&#x003D;&#x2009;2.28, 95&#x0025; CI (1.67, 3.09)],reoperation [OR&#x2009;&#x003D;&#x2009;2.16, 95&#x0025; CI (1.86, 2.50)], retrosternal goitre [OR&#x2009;&#x003D;&#x2009;2.85, 95&#x0025; CI (1.87, 4.35)], lack of neuromonitoring [OR&#x2009;&#x003D;&#x2009;1.64, 95&#x0025; CI (1.31, 2.06)] may be associated with RLNI following thyroid surgery.</p>
</sec><sec><title>Conclusion</title>
<p>This study indicates that older age, female gender, extended thyroidectomy, lymph node dissection, reoperation, retrosternal goiter, and absence of nerve monitoring mya be independent risk factors for recurrent laryngeal nerve injury following thyroid surgery.</p>
</sec><sec><title>Systematic Review Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/PROSPERO/view/CRD420251106124">https://www.crd.york.ac.uk/PROSPERO/view/CRD420251106124</ext-link>, identifier CRD420251106124.</p>
</sec>
</abstract>
<kwd-group>
<kwd>meta-analysis</kwd>
<kwd>recurrent laryngeal nerve injury</kwd>
<kwd>risk factors</kwd>
<kwd>systematic review</kwd>
<kwd>thyroid surgery</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement></funding-group><counts>
<fig-count count="8"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="49"/><page-count count="13"/><word-count count="216356"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Otorhinolaryngology - Head and Neck Surgery</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="background"><title>Background</title>
<p>Thyroid surgery is one of the primary methods for treating benign and malignant thyroid diseases, including thyroid nodules, hyperthyroidism, and thyroid cancer (<xref ref-type="bibr" rid="B1">1</xref>). With continuous advancements in ultrasound technology, anesthesia management, and microsurgical techniques, the safety of thyroid surgery has significantly improved (<xref ref-type="bibr" rid="B2">2</xref>). However, recurrent laryngeal nerve injury (RLNI) remains one of the most common and clinically significant complications in thyroid surgery. The recurrent laryngeal nerve controls the movement of most intrinsic laryngeal muscles, serving as a vital structure for maintaining vocal cord function and respiratory capacity (<xref ref-type="bibr" rid="B3">3</xref>). Its injury can cause symptoms such as hoarseness, dysphonia, dysphagia, and coughing. In severe cases, respiratory distress may occur, necessitating tracheotomy to preserve airway patency (<xref ref-type="bibr" rid="B4">4</xref>). This complication not only impacts patients&#x0027; quality of life and social interactions but also imposes long-term effects on postoperative recovery and mental health (<xref ref-type="bibr" rid="B5">5</xref>). Recurrent laryngeal nerve injury is typically classified as temporary or permanent. Literature reports indicate that the incidence of temporary RLNI ranges from approximately 1&#x0025; to 10&#x0025;, while permanent injury occurs in about 0.5&#x0025; to 2&#x0025; of cases (<xref ref-type="bibr" rid="B6">6</xref>). However, in patients with malignant thyroid tumors, giant goiters, or those undergoing repeat surgery, this proportion can reach 5&#x0025; or higher (<xref ref-type="bibr" rid="B7">7</xref>). The mechanism of RLNI is complex, involving not only direct transection but also intraoperative traction, thermal injury, compression, or compromised neural blood supply. Additionally, anatomical variations of the recurrent laryngeal nerve constitute another significant cause of injury (<xref ref-type="bibr" rid="B8">8</xref>). Some patients exhibit atypical nerve courses or branch variations, particularly in the right lower pole region or in cases of non-recurrent laryngeal nerves. Failure to accurately identify these structures during surgery can easily lead to inadvertent injury (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>To reduce RLNI incidence, various protective measures have been proposed in recent years, including the application of intraoperative nerve monitoring, precise microsurgical dissection, and accumulating surgeon experience (<xref ref-type="bibr" rid="B11">11</xref>). Despite technological advancements, RLNI remains unavoidable. Some studies suggest that reoperation, malignant lesions, and central zone dissection significantly increase the risk of nerve injury, while others find no significant correlation (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Limited sample sizes in individual studies, substantial differences in study designs, and inadequate control of confounding factors restrict the reliability and consistency of results (<xref ref-type="bibr" rid="B14">14</xref>). Against this backdrop, it is necessary to systematically integrate and quantitatively analyze existing literature through systematic reviews and meta-analyses to identify independent risk factors for recurrent laryngeal nerve injury after thyroid surgery. Systematic reviews and meta-analyses can synthesize findings from multiple studies, reduce random error, enhance statistical power, and provide higher-quality evidence-based guidance for clinical practice. By identifying high-risk factors, clinicians can thoroughly assess patient risk preoperatively and develop individualized surgical strategies. During surgery, emphasis on nerve anatomy identification and protection, supplemented by nerve monitoring technology, when necessary, can effectively reduce the incidence of recurrent laryngeal nerve injury, thereby improving surgical safety and patient outcomes.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<p>This systematic evaluation and meta-analysis will strictly follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (<xref ref-type="bibr" rid="B15">15</xref>). And it is registered in Prospero with registration number CRD420251106124.</p>
</sec>
<sec id="s3"><title>Literature retrieval</title>
<p>A systematic search was conducted in PubMed, Embase, Web of Science, and the Cochrane Library databases from their inception to October 1, 2025, to identify literature related to risk factors for recurrent laryngeal nerve injury following thyroid surgery. The search strategy combined Medical Subject Headings (MeSH) terms and free-text keywords, with primary search terms including: &#x201C;thyroid surgery,&#x201D; &#x201C;thyroidectomy,&#x201D; &#x201C;recurrent laryngeal nerve injury,&#x201D; &#x201C;nerve damage,&#x201D; &#x201C;risk factor,&#x201D; &#x201C;predictor,&#x201D; and &#x201C;complication&#x201D;. The detailed search strategy is provided in <xref ref-type="sec" rid="s16">Supplementary Table S1</xref>. To minimize omissions, reference lists of included studies and citations from relevant reviews were manually searched.</p>
</sec>
<sec id="s4"><title>Literature inclusion and exclusion criteria</title>
<sec id="s4a"><title>Inclusion criteria</title>
<list list-type="simple">
<list-item>
<p>Study Type: Prospective or retrospective observational studies (cohort studies, case-control studies, cross-sectional studies) and randomized controlled trials.</p></list-item>
<list-item>
<p>Study Population: Patients undergoing any type of thyroid surgery.</p></list-item>
<list-item>
<p>Outcome Measures: Clearly reported incidence of recurrent laryngeal nerve injury (including temporary or permanent).</p></list-item>
<list-item>
<p>Study Results: Provided or calculable effect sizes for risk factors (OR values, RR values, and their 95&#x0025; confidence intervals).</p></list-item>
<list-item>
<p>Assessable literature quality with complete data.</p></list-item>
</list>
</sec>
<sec id="s4b"><title>Exclusion criteria</title>
<list list-type="simple">
<list-item>
<p>Studies with duplicate publications or overlapping data.</p></list-item>
<list-item>
<p>Case reports, conference abstracts, reviews, commentaries, or animal studies.</p></list-item>
<list-item>
<p>Studies failing to clearly distinguish types of recurrent laryngeal nerve injury or lacking extractable data.</p></list-item>
<list-item>
<p>Studies where full-text access is unavailable.</p></list-item>
</list>
</sec>
<sec id="s4c"><title>Study selection</title>
<p>During the literature screening process, two researchers independently used EndNote 21 software to initially screen the literature obtained from the search, first through the titles and abstracts, and then to exclude literature that clearly did not meet the inclusion criteria. Subsequently, the remaining literature was reviewed by reading the full text in its entirety to further determine whether it met the inclusion and exclusion criteria. In case of disagreement between the two researchers during the screening process, it would be resolved through discussion and negotiation; if the negotiation still failed to reach a consensus, a third researcher would be invited to adjudicate to ensure the objectivity and consistency of the screening process.</p>
</sec>
<sec id="s4d"><title>Data extractions</title>
<p>This study was conducted by two researchers who independently extracted relevant data from the eligible literature using an Excel sheet based on the inclusion criteria. The extraction included the basic information of the study (first author, year of publication, country and study design), the basic characteristics of the study population (sample size, number of infections, type of infections, gender, and mean age), the statistical model used in the regression analysis, and diagnosis of cognitive impairment. In the process of data extraction, if two investigators disagreed on the data, it would be resolved through negotiation, and if no agreement could be reached, a third investigator would adjudicate to ensure the accuracy and consistency of data extraction.</p>
</sec>
<sec id="s4e"><title>Quality evaluation</title>
<p>The types of studies included in this study will be assessed using different quality assessment tools: for case-control and cohort studies, the NOS (Newcastle-Ottawa Scale) (<xref ref-type="bibr" rid="B16">16</xref>) quality assessment tool will be used, which evaluates the intrinsic bias of the studies through three main domains (study selectivity, comparability, and assessment of outcomes), focusing on sample selection, the relationship between exposure and relationship between exposure and outcome, and control of confounders; these quality assessment tools ensure that the included studies have a high-quality evidence base.</p>
</sec>
<sec id="s4f"><title>Statistical analysis</title>
<p>In this study, the risk ratio (OR) and the corresponding 95&#x0025; confidence interval (CI) of each included study were combined using Stata 15 software. First, for each study, we extracted the corresponding effect size OR and its 95&#x0025; confidence interval. To combine these ORs, we pooled them using a random effects model, which can account for heterogeneity between studies, variability in effect sizes across studies. ORs and 95&#x0025; CIs were calculated for each study and combined into an overall effect size. Heterogeneity of the model was assessed by the I&#x00B2; statistic; if the I&#x00B2; was greater than 50&#x0025;, it was considered that there was a high degree of heterogeneity and that the sources of heterogeneity needed to be further explored. For high heterogeneity, we may conduct sensitivity analyses to identify potential factors that may affect the combined effect sizes. Asymmetry in the funnel plot indicates a higher likelihood of publication bias, which will be further evaluated using Egger&#x0027;s test. <italic>P</italic> value&#x2009;&#x003C;&#x2009;0.05 suggests the presence of publication bias, while a <italic>P</italic> value&#x2009;&#x003E;&#x2009;0.05 suggests otherwise. If necessary, the trim-and-fill method will be used for further confirmation. The combined effect sizes will be reported as ORs and their 95&#x0025; CIs to allow for interpretation of results and statistical inference.</p>
</sec>
</sec>
<sec id="s5" sec-type="results"><title>Results</title>
<sec id="s5a"><title>Literature screening results</title>
<p>The initial search yielded 2,235 relevant articles, including 368 from PubMed, 1,286 from Embase, 550 from Web of Science, and 31 from the Cochrane Library. After deduplication using EndNote 21, 635 articles remained. By reviewing titles and abstracts, 1,569 articles were excluded for irrelevance or failure to meet inclusion criteria, leaving 31 articles for full-text screening. Ultimately, 20 studies (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>) were included. The literature screening process adhered to PRISMA guidelines, as shown in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Literature search flow chart.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g001.tif"><alt-text content-type="machine-generated">Flowchart depicting a systematic review process. Identification shows 2,235 records from databases; 1,600 records screened after removing duplicates and ineligibles. Screening resulted in 31 reports sought for retrieval, with none missing. Eligibility assessment excluded 11 reports, leaving 20 studies included in the review.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s5b"><title>Included study characteristics</title>
<p>This study included a total of 20 articles (<italic>N</italic>&#x2009;&#x003D;&#x2009;108,343) published between 2000 and 2025. Research origins encompassed Germany, Turkey, Sweden, China, Japan, the United States, the United Kingdom, Denmark, Finland, Switzerland, India, and Poland. Sample sizes ranged from 185 to 2998 cases, with patients&#x0027; average ages between 43.2 and 55 years. Detailed baseline characteristics are presented in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Basic characteristics of literature.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="left">Country</th>
<th valign="top" align="left">Study design</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Gender(M/F)</th>
<th valign="top" align="center">Mean age</th>
<th valign="top" align="center">Regression model</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Aspinall et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">UK</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">10,313</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Aygun et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">875</td>
<td valign="top" align="center">200/675</td>
<td valign="top" align="center">49.2</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Bergenfelz et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">Sweden</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">5,252</td>
<td valign="top" align="center">1,050/4,202</td>
<td valign="top" align="center">49</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">3,236</td>
<td valign="top" align="center">1,044/2,192</td>
<td valign="top" align="center">45.8</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Dralle et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2004</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">29,998</td>
<td valign="top" align="center">6833/22,973</td>
<td valign="top" align="center">54</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Enomoto et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">447</td>
<td valign="top" align="center">68/375</td>
<td valign="top" align="center">43.5</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Erbil et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">2007</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Case-control</td>
<td valign="top" align="center">3,250</td>
<td valign="top" align="center">2,872/378</td>
<td valign="top" align="center">47</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Godballe et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Denmark</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">6,859</td>
<td valign="top" align="center">3,419/3,440</td>
<td valign="top" align="center">52</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Gunn et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">11,370</td>
<td valign="top" align="center">2,476/8,894</td>
<td valign="top" align="center">53</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Han et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">2024</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">8,340</td>
<td valign="top" align="center">1,817/6,523</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Heikkine et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">866</td>
<td valign="top" align="center">153/713</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Joliat et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">Switzerland</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">653</td>
<td valign="top" align="center">200/453</td>
<td valign="top" align="center">49</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Landerholm et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Sweden</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">1,322</td>
<td valign="top" align="center">223/1,099</td>
<td valign="top" align="center">50</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Nayyar et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">228</td>
<td valign="top" align="center">100/128</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Obata et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2024</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">543</td>
<td valign="top" align="center">128/415</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Staubitz et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">4,598</td>
<td valign="top" align="center">1,056/3,542</td>
<td valign="top" align="center">54</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Stopenski et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">11,595</td>
<td valign="top" align="center">2,522/9,073</td>
<td valign="top" align="center">52.5</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Tabriz et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2024</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">1,147</td>
<td valign="top" align="center">293/854</td>
<td valign="top" align="center">51</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Thomusch et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2000</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">7,266</td>
<td valign="top" align="center">2,266/5,000</td>
<td valign="top" align="center">51.8</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
<tr>
<td valign="top" align="left">Wolff et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2025</td>
<td valign="top" align="left">Poland</td>
<td valign="top" align="left">Cohort study</td>
<td valign="top" align="center">185</td>
<td valign="top" align="center">40/145</td>
<td valign="top" align="center">43.2</td>
<td valign="top" align="left">Logistic regression</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s5c"><title>Quality assessment</title>
<p>This study employed the NOS scoring system. The quality assessment results (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>) indicate that 11 articles scored 9 points, 5 studies scored 8 points, and 4 studies scored 7 points. The overall quality of the included studies is classified as high-quality research.</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Nos scores.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" colspan="10">Case control</th>
</tr>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Is the case definition adequate?</th>
<th valign="top" align="center">Representativeness of the cases</th>
<th valign="top" align="center">Determination of control group</th>
<th valign="top" align="center">Definition of Controls</th>
<th valign="top" align="center">Comparability of cases and controls based on the design or analysis</th>
<th valign="top" align="center">Ascertainment of exposure</th>
<th valign="top" align="center">Same method of ascertainment for cases and controls</th>
<th valign="top" align="center">Non response</th>
<th valign="top" align="center">Total scores</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Erbil et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<th valign="top" align="left" colspan="10">Cohort study</th>
</tr>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Representativeness of the exposed group</th>
<th valign="top" align="center">Selection of non-exposed groups</th>
<th valign="top" align="center">Determination of exposure factors</th>
<th valign="top" align="center">Identification of outcome indicators not yet to be observed at study entry</th>
<th valign="top" align="center">Comparability of exposed and unexposed groups considered in design and statistical analysis</th>
<th valign="top" align="center">design and statistical analysis</th>
<th valign="top" align="center">Adequacy of the study&#x0027;s evaluation of the outcome</th>
<th valign="top" align="center">Adequacy of follow-up in exposed and unexposed groups</th>
<th valign="top" align="center">Total scores</th>
</tr>
<tr>
<td valign="top" align="left">Aspinall et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Aygun et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Bergenfelz et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Dralle et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Enomoto et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Godballe et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Gunn et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Han et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Heikkine et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Joliat et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Landerholm et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Nayyar et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Obata et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Staubitz et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Stopenski et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">&#x002A;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Tabriz et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">&#x002A;</td>
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<td valign="top" align="left">Thomusch et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
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<td valign="top" align="left">Wolff et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
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</table>
</table-wrap>
</sec>
</sec>
<sec id="s6"><title>Meta-analysis results</title>
<sec id="s6a"><title>Older age</title>
<p>10 articles mentioned older age. Heterogeneity testing (<italic>I</italic>&#x00B2;&#x2009;&#x003D;&#x2009;83.5&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.001) was conducted using a random-effects model. The results (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>) suggest that older age may be associated with RLNI following thyroid surgery [OR&#x2009;&#x003D;&#x2009;1.45, 95&#x0025; CI (1.26, 1.66)]. Due to substantial heterogeneity, sensitivity analysis was conducted by sequentially excluding studies. Results (<xref ref-type="sec" rid="s16">Supplementary Figure S1</xref>) indicate that this indicator remains robust and is not influenced by any single study.</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Forest plot of meta-analysis for older age.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g002.tif"><alt-text content-type="machine-generated">Forest plot showing odds ratios (OR) and confidence intervals (CI) for various studies about a medical intervention. Studies include Aspinall (2019) to Thomusch (2000). ORs range from 1.14 to 4.96. Landerholm (2014) has an OR of 1.30. Overall OR is 1.45. Horizontal lines indicate CIs; a diamond represents the meta-analyzed result. Weights from a random effects analysis are also displayed.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6b"><title>Female</title>
<p>8 articles mentioned female. Heterogeneity testing (<italic>I</italic>&#x00B2;&#x2009;&#x003D;&#x2009;0&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.498) was conducted using a fixed-effects model. The results (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>) suggest that female may be associated with RLNI following thyroid surgery [OR&#x2009;&#x003D;&#x2009;1.15, 95&#x0025; CI (1.03, 1.28)].</p>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>Forest plot of meta-analysis for female.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g003.tif"><alt-text content-type="machine-generated">Forest plot displaying odds ratios (OR) with 95% confidence intervals (CI) across eight studies, labeled by author and year. Weights vary, with Aspinall (2019) contributing 45.92% and the overall effect size showing OR 1.15 (CI 1.03, 1.28). Horizontal lines represent CIs, and a diamond indicates the overall summary effect.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6c"><title>Extended thyroidectomy</title>
<p>5 articles mentioned extended thyroidectomy. Heterogeneity testing (<italic>I</italic>&#x00B2;&#x2009;&#x003D;&#x2009;0&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.419) was conducted using a fixed-effects model. The results (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>) suggest that extended thyroidectomy may be associated with RLNI following thyroid surgery [OR&#x2009;&#x003D;&#x2009;1.65, 95&#x0025; CI (1.20, 2.27)].</p>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>Forest plot of meta-analysis for extended thyroidectomy.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g004.tif"><alt-text content-type="machine-generated">Forest plot showing five studies with odds ratios (OR) and 95% confidence intervals (CI). Studies include Dralle (2004), Erbil (2007), Landerholm (2014), Nayyar (2020), and Obata (2024). Individual ORs range from 1.23 to 3.50. The overall OR is 1.65 with a CI of 1.20 to 2.27, represented by a diamond. The plot indicates no heterogeneity (I-squared = 0.0%, p = 0.419).</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6d"><title>Node dissection</title>
<p>4 articles mentioned node dissection. Heterogeneity testing (<italic>I</italic>&#x00B2;&#x2009;&#x003D;&#x2009;43.7&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.149) was conducted using a fixed-effects model. The results (<xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>) suggest that node dissection may be associated with RLNI following thyroid surgery [OR&#x2009;&#x003D;&#x2009;2.28, 95&#x0025; CI (1.67, 3.09)].</p>
<fig id="F5" position="float"><label>Figure&#x00A0;5</label>
<caption><p>Forest plot of meta-analysis for node dissection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g005.tif"><alt-text content-type="machine-generated">Forest plot showing odds ratios (OR) with 95% confidence intervals (CI) for four studies: Aspinall (2019) OR 2.37 (1.19, 2.81), Bergenfelz (2016) OR 1.35 (0.73, 2.50), Heikkine (2019) OR 4.36 (1.91, 9.95), and Wolff (2025) OR 2.76 (1.03, 7.01). Overall OR is 2.28 (1.67, 3.09), with I-squared 43.7% and p-value 0.149.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6e"><title>Reoperation</title>
<p>7 articles mentioned reoperation. Heterogeneity testing (<italic>I</italic>&#x00B2;&#x2009;&#x003D;&#x2009;28.1&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.214) was conducted using a fixed-effects model. The results (<xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref>) suggest that reoperation may be associated with RLNI following thyroid surgery [OR&#x2009;&#x003D;&#x2009;2.16, 95&#x0025; CI (1.86, 2.50)].</p>
<fig id="F6" position="float"><label>Figure&#x00A0;6</label>
<caption><p>Forest plot of meta-analysis for reoperation.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g006.tif"><alt-text content-type="machine-generated">Forest plot showing the odds ratios (OR) and confidence intervals (CI) for various studies. Horizontal lines represent CIs while squares reflect individual study weights. The overall OR is 2.16 with a CI of 1.86 to 2.50, indicated by a diamond. The I-squared value is 28.1% and the p-value is 0.214, suggesting heterogeneity.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6f"><title>Retrosternal goitre</title>
<p>10 articles mentioned retrosternal goitre. Heterogeneity testing (<italic>I</italic>&#x00B2;&#x2009;&#x003D;&#x2009;87.4&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.001) was conducted using a random-effects model. The results (<xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref>) suggest that retrosternal goitre may be associated with RLNI following thyroid surgery [OR&#x2009;&#x003D;&#x2009;2.85, 95&#x0025; CI (1.87, 4.35)]. Due to substantial heterogeneity, sensitivity analysis was conducted by sequentially excluding studies. Results (<xref ref-type="sec" rid="s16">Supplementary Figure S2</xref>) indicate that this indicator remains robust and is not influenced by any single study.</p>
<fig id="F7" position="float"><label>Figure&#x00A0;7</label>
<caption><p>Forest plot of meta-analysis for retrosternal goitre.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g007.tif"><alt-text content-type="machine-generated">Forest plot showing odds ratios (OR) and 95% confidence intervals (CI) for eight studies on the effectiveness of a treatment. Studies include Aspinall to Thomusch, with ORs ranging from 1.43 to 5.52. The overall effect estimate is 2.85 with an 87.4% I-squared, indicating high heterogeneity. Weights are from random effects analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6g"><title>Lack of neuromonitoring</title>
<p>6 articles mentioned lack of neuromonitoring. Heterogeneity testing (<italic>I</italic>&#x00B2;&#x2009;&#x003D;&#x2009;62.4&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.021) was conducted using a random-effects model. The results (<xref ref-type="fig" rid="F8">Figure&#x00A0;8</xref>) suggest that lack of neuromonitoring may be associated with RLNI following thyroid surgery [OR&#x2009;&#x003D;&#x2009;1.64, 95&#x0025; CI (1.31, 2.06)]. Due to substantial heterogeneity, sensitivity analysis was conducted by sequentially excluding studies. Results (<xref ref-type="sec" rid="s16">Supplementary Figure S3</xref>) indicate that this indicator remains robust and is not influenced by any single study.</p>
<fig id="F8" position="float"><label>Figure&#x00A0;8</label>
<caption><p>Forest plot of meta-analysis for lack of neuromonitoring.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1731701-g008.tif"><alt-text content-type="machine-generated">Forest plot showing odds ratios (OR) and 95% confidence intervals (CI) for studies on the left. Each study's OR is plotted with horizontal lines indicating CI. Weights are shown in percentages. The overall OR is 1.64 with CI 1.31 to 2.06, using random effects analysis. I-squared is 62.4 percent, p-value is 0.021.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6h"><title>Publication bias</title>
<p>This study employed funnel plots and Egger&#x0027;s test to detect publication bias. Results (<xref ref-type="sec" rid="s16">Supplementary Figures S4&#x2013;S10</xref>) suggest a higher likelihood of publication bias for older age (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.002) and female gender (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.023). Conversely, publication bias was less likely to exist for extended thyroidectomy (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.231), node dissection (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.189), reoperation (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.298), retrosternal goiter (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.170), and lack of neuromonitoring (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.154). Perform trim-and-fill adjustment for indicators exhibiting publication bias. Results (<xref ref-type="sec" rid="s16">Supplementary Figures S11&#x2013;S12</xref>) indicate that despite the presence of publication bias, the findings of this study remain robust.</p>
</sec>
</sec>
<sec id="s7" sec-type="discussion"><title>Discussion</title>
<p>This study comprehensively explored and quantitatively analyzed the primary risk factors for RLNI following thyroid surgery. Our findings indicate that multiple factors are significantly associated with the occurrence of RLNI, including age, gender, surgical type, recurrent goiter, and the absence of intraoperative nerve monitoring.</p>
<p>In this study, older age was identified as an independent risk factor for RLNI. This finding indicates that the risk of RLNI increases significantly with advancing age. Older patients typically experience physiological decline, including reduced muscle elasticity, stiffened vascular walls, and diminished tissue immune responses (<xref ref-type="bibr" rid="B37">37</xref>). These changes may impair soft tissue recovery during surgery, thereby increasing the risk of nerve injury.</p>
<p>Additionally, the anatomical structure of the thyroid gland often changes in elderly patients, particularly exhibiting increased volume, harder texture, and even calcification, which complicates surgical manipulation (<xref ref-type="bibr" rid="B38">38</xref>). Among thyroid cancer patients, the elderly group faces an especially heightened risk of nerve injury, likely due to the cancer&#x0027;s inherent invasiveness and extensive surrounding tissue adhesions. Postoperative recovery is slower in elderly patients, and the likelihood of nerve recovery after injury is lower, potentially increasing the persistence and severity of RLNI (<xref ref-type="bibr" rid="B39">39</xref>). Therefore, for elderly patients, especially those requiring complex procedures, consideration should be given to employing intraoperative nerve monitoring techniques and utilizing minimally invasive surgical approaches to reduce the incidence of nerve injury.</p>
<p>Our research indicates that women face a higher risk of RLNI following thyroid surgery compared to men. This gender difference may stem from female thyroid anatomy and hormonal levels. Studies show that women&#x0027;s thyroids are generally larger and softer than men&#x0027;s, potentially leading to greater deformation during surgery or more frequent contact with the recurrent laryngeal nerve (<xref ref-type="bibr" rid="B40">40</xref>). Additionally, female thyroids exhibit richer vascularity, increasing susceptibility to hematoma or edema formation, which further elevates nerve injury risk. Hormonal levels, particularly estrogen, may also influence nerve repair capacity to some extent (<xref ref-type="bibr" rid="B41">41</xref>). Some studies suggest estrogen offers protective effects for nerves; however, during surgical trauma, this protective action may paradoxically hinder adaptive nerve recovery. This could be one reason for poorer postoperative nerve injury recovery in female patients.</p>
<p>Extensive thyroid resection is a significant risk factor for RLNI. This surgical approach typically requires a larger resection margin and greater exposure of tissues and structures during the procedure, increasing the risk of recurrent laryngeal nerve injury. In extended surgeries, the anatomical structures surrounding the thyroid gland are more complex, making adjacent nerves and vessels susceptible to traction, compression, or thermal injury (<xref ref-type="bibr" rid="B10">10</xref>). Furthermore, extended thyroidectomy is associated with longer operative times and higher intraoperative blood flow, which also heightens the risk of nerve injury (<xref ref-type="bibr" rid="B42">42</xref>). Particularly in thyroid cancer cases, tumors may have invaded or formed tight adhesions with the recurrent laryngeal nerve and its blood supply, making nerve injury more likely during resection. Consequently, intraoperative nerve monitoring is critical for such complex procedures, enabling real-time assessment of nerve function to prevent unnecessary damage.</p>
<p>Our findings indicate that lymph node dissection is a factor closely associated with the occurrence of RLNI. Lymph node dissection procedures typically involve larger resection areas and more complex anatomical structures, increasing exposure to and manipulation difficulty of the recurrent laryngeal nerve (<xref ref-type="bibr" rid="B43">43</xref>). Lymph node dissection, particularly when performed in the central region, often requires careful identification and avoidance of critical neural structures. Another potential mechanism for lymph node dissection-related RLNI may be related to the duration of intraoperative manipulation. Prolonged surgical time and sustained anatomical dissection may lead to hypoxia or insufficient blood supply to neural tissue, thereby increasing the risk of nerve injury (<xref ref-type="bibr" rid="B44">44</xref>). For patients undergoing lymph node dissection, the use of intraoperative nerve monitoring technology allows real-time assessment of recurrent laryngeal nerve function, helping to avoid unnecessary injury.</p>
<p>The risk of RLNI is markedly elevated in patients undergoing reoperation. These patients often present with existing postoperative scar tissue and adhesions, making nerves more vulnerable to injury. In such cases, altered anatomical landmarks and residual surgical traces complicate nerve exposure (<xref ref-type="bibr" rid="B45">45</xref>). Particularly for patients with prior thyroidectomy, re-excision may necessitate complex surgical maneuvers, potentially leading to unavoidable nerve traction or transection. Furthermore, recurrent disease may exacerbate the risk of nerve injury, with malignant tumors posing a particularly high risk (<xref ref-type="bibr" rid="B46">46</xref>). For such patients, detailed preoperative assessment is essential to thoroughly understand the anatomical structures and extent of the lesion within the surgical field. Minimally invasive techniques should be prioritized whenever feasible to minimize the probability of nerve injury.</p>
<p>Retrosternal goiter is considered a significant risk factor for RLNI. Due to its deep location and proximity to the recurrent laryngeal nerve and its blood supply, resection of retrosternal goiter necessitates a larger surgical incision and more complex manipulation, increasing the risk of both direct and indirect injury to the recurrent laryngeal nerve (<xref ref-type="bibr" rid="B47">47</xref>). Furthermore, retrosternal goiters often present with prolonged compressive symptoms, potentially leading to diminished nerve function (<xref ref-type="bibr" rid="B48">48</xref>). This renders the nerves more vulnerable and susceptible to injury during surgery.</p>
<p>The absence of intraoperative nerve monitoring has been established as an independent risk factor for RLNI. Intraoperative nerve monitoring technology enables real-time assessment of recurrent laryngeal nerve function, allowing early detection of nerve injury signs and guiding surgeons to avoid unnecessary damage (<xref ref-type="bibr" rid="B49">49</xref>). Without nerve monitoring, surgeons often rely solely on surgical experience and anatomical knowledge, which may lead to missed or misdiagnosed nerve injuries, particularly in complex procedures or cases with significant anatomical variations. Therefore, promoting the use of intraoperative nerve monitoring technology is crucial for reducing the incidence of RLNI.</p>
</sec>
<sec id="s8"><title>Strengths and limitations</title>
<p>The primary strength of this study lies in its application of systematic review and meta-analysis methodologies, integrating data from multiple high-quality studies to achieve robust statistical power and a high level of evidence. By synthesizing findings across numerous investigations, this research accurately identifies key risk factors for recurrent laryngeal nerve injury following thyroid surgery and quantifies their effect sizes. Furthermore, stringent inclusion criteria were employed to ensure the quality and consistency of all included studies. Sensitivity analyses and subgroup analyses further validated the robustness of the findings, mitigating the potential influence of individual studies on overall results. This enables us to draw more reliable and broadly applicable conclusions, providing valuable evidence-based support for risk assessment and management in clinical practice.</p>
<p>Although this study offers a systematic analysis of risk factors for recurrent laryngeal nerve injury following thyroid surgery, several limitations exist. First, the majority of included studies were retrospective, potentially introducing selection bias and incomplete data, which limits the generalizability of conclusions. Second, although sensitivity analyses addressed sources of heterogeneity, differences in surgical techniques, patient characteristics, and diagnostic criteria for nerve injury across studies may still affect the consistency and reliability of results. Finally, this study did not include all potential risk factors, such as surgeon experience and specific patient pathological conditions, which may also influence nerve injury occurrence. Therefore, future research should further explore and validate these factors to enhance the accuracy of risk assessment.</p>
</sec>
<sec id="s9"><title>Clinical significance</title>
<p>This study identified multiple risk factors associated with RLNI following thyroid surgery, including older age, female gender, extended thyroidectomy, and lymph node dissection. These findings assist clinicians in conducting preoperative risk assessments and implementing personalized surgical strategies. Particularly for high-risk patients, such as the elderly or those requiring complex procedures, the use of intraoperative nerve monitoring technology can effectively reduce the incidence of RLNI, thereby enhancing surgical safety and improving the quality of postoperative recovery. Therefore, understanding these risk factors and appropriately utilizing nerve monitoring are crucial for improving the prognosis of thyroid surgery.</p>
</sec>
<sec id="s10" sec-type="conclusions"><title>Conclusion</title>
<p>This study indicates that older age, female gender, extended thyroidectomy, lymph node dissection, reoperation, retrosternal goiter, and absence of nerve monitoring mya be independent risk factors for recurrent laryngeal nerve injury following thyroid surgery. Clinicians should assess these risk factors based on individual patient circumstances and implement nerve-sparing techniques during surgery whenever feasible. Particularly in complex procedures, the use of intraoperative nerve monitoring may significantly reduce the incidence of recurrent laryngeal nerve injury.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s16">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s12" sec-type="author-contributions"><title>Author contributions</title>
<p>XY: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. WO: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. PM: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s14" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s15" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s17" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s16" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fsurg.2025.1731701/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fsurg.2025.1731701/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material xlink:href="Datasheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table1.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/886627/overview">Fabio Medas</ext-link>, University of Cagliari, Italy</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1306155/overview">Ludovico Docimo</ext-link>, University of Campania Luigi Vanvitelli, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1404510/overview">Domenico Testa</ext-link>, University of Campania Luigi Vanvitelli, Italy</p></fn>
</fn-group>
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