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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2021.733434</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association Between Prediabetes and Erectile Dysfunction: A Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jin</surname>
<given-names>Mingyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1390876"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Shaoying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yi</surname>
<given-names>Luqi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chenxia</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Andrology, Guangdong Hospital of Traditional Chinese Medicine</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Infertility and Sexual Medicine, The Third Affiliated Hospital of Sun Yat-Sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Urology, Guangdong Hospital of Traditional Chinese Medicine</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Gynecology, Guangdong Hospital of Traditional Chinese Medicine</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Pradeep Kumar, University of the Witwatersrand, South Africa</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Luca Boeri, University of Milan, Italy; Michael Kirby, Trends in Urology &amp; Men&#x2019;s Health, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mingyu Jin, <email xlink:href="mailto:15919152830@163.com">15919152830@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Clinical Diabetes, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>733434</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>06</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Jin, Yuan, Wang, Yi and Wang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Jin, Yuan, Wang, Yi and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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>Background</title>
<p>Diabetes has been associated with the increased risk of erectile dysfunction (ED). However, previous studies evaluating the association between prediabetes and ED showed inconsistent results. We performed a meta-analysis of observational studies to systematically evaluate the above association.</p>
</sec>
<sec>
<title>Methods</title>
<p>Relevant observational studies were retrieved by search of PubMed, Embase, and Web of Science databases. A random-effect model which incorporated the potential intra-study heterogeneity was used for the meta-analysis. Subgroup analyses were performed to evaluate the influences of study characteristics on the outcome.</p>
</sec>
<sec>
<title>Results</title>
<p>Nine studies (five matched case-control studies and four cross-sectional studies) were included. Age were adjusted or matched in all of the studies. Pooled results showed that compared to men with normoglycemia, men with prediabetes were associated with higher prevalence of ED (odds ratio = 1.62, 95% confidence interval: 1.28 to 2.07, P &lt; 0.001; I<sup>2</sup> = 78%). Subgroup analyses showed that the association was not significantly affected by definition of prediabetes, diagnostic tool for ED, or controlling of additional variables besides age (both P for subgroup difference &gt; 0.05). However, the association between prediabetes and ED seemed to be stronger in case-control studies than that in cross-sectional studies, and in studies with younger men (mean age &lt; 50 years) than in those with older men (mean age &#x2265; 50 years; both P for subgroup difference &lt; 0.05).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Prediabetes is associated with higher prevalence of ED, which may be independent of age of the males and may be stronger in young men.</p>
</sec>
</abstract>
<kwd-group>
<kwd>prediabetes</kwd>
<kwd>erectile dysfunction</kwd>
<kwd>prevalence</kwd>
<kwd>observational studies</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="9"/>
<word-count count="3550"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Erectile dysfunction (ED) is a common sexual dysfunction in men, which is defined as the failure to achieve or maintain an erection for satisfactory sexual intercourse (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The incidence of ED is age-related, and more than 20% of men aged over 40 years were reported to have ED (<xref ref-type="bibr" rid="B3">3</xref>). Besides aging, diabetes mellitus (DM) has also been recognized as a major risk factor for ED (<xref ref-type="bibr" rid="B4">4</xref>). A previous meta-analysis including 145 studies showed that the overall prevalence of ED in men with DM was 52.5% (<xref ref-type="bibr" rid="B5">5</xref>). Accordingly, screening and prevention of ED in men with DM has gained great attention (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>In recent decades, the intensive care for patients with hyperglycemia has introduced the concept of prediabetes. Currently, prediabetes is defined as an intermediate metabolic state between normoglycemia and DM, which includes impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and mildly raised glycated hemoglobin (HbA1c) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Although IGT is consistently defined as a 2 hour plasma glucose concentration of 7.8-11.0 mmol/L during an oral glucose tolerance test, the definitions of IFG are varying according to the World Health Organization (WHO) criteria (fasting plasma glucose [FPG]: 6.1 to 6.9 mmol/L) and the 2003 American Diabetes Association (ADA) guideline criteria (FPG: 5.6-6.9 mmol/L) (<xref ref-type="bibr" rid="B9">9</xref>). Moreover, the glycosylated hemoglobin (HbA1c) of 5.7-6.4% and 6.0-6.4% has also been considered as definitions for prediabetes by ADA and National Institute for Health and Care Excellence (NICE) respectively (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Similar to DM, prediabetes is suggested to be associated with increased risks of cardiovascular diseases, over cancer events, and all-cause mortality (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). However, previous studies evaluating the association between prediabetes and ED showed inconsistent results (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). Some studies suggested that prediabetes was associated with higher prevalence of ED as compared to normoglycemia (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>), while others did not (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B21">21</xref>). In this study, we performed a&#xa0;meta-analysis of cohort studies to systematically evaluate the association between prediabetes and ED. The potential influence of&#xa0;different definitions of prediabetes on the association was also explored.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<p>The meta-analysis was performed in accordance with the MOOSE (Meta-analysis of Observational Studies in Epidemiology) (<xref ref-type="bibr" rid="B23">23</xref>) and Cochrane&#x2019;s Handbook (<xref ref-type="bibr" rid="B24">24</xref>) guidelines.</p>
<sec id="s2_1">
<title>Literature Search</title>
<p>Studies were identified <italic>via</italic> systematic search of electronic databases of PubMed, Embase, and Web of Science databases <italic>via</italic> the following terms: (1) &#x201c;prediabetes&#x201d; OR &#x201c;pre-diabetes&#x201d; OR &#x201c;prediabetic state&#x201d; OR &#x201c;borderline diabetes&#x201d; OR &#x201c;impaired fasting glucose&#x201d; OR &#x201c;impaired glucose tolerance&#x201d; OR &#x201c;IFG&#x201d; OR &#x201c;IGT&#x201d;; and (2) &#x201c;erectile dysfunction&#x201d; OR &#x201c;erectile function&#x201d; OR &#x201c;sexual dysfunction&#x201d; OR &#x201c;sexual function&#x201d; OR &#x201c;ED&#x201d;. The search was limited to human studies published in English or Chinese. The reference lists of related original and review articles were also analyzed using a manual approach. The final literature search was performed on May 5, 2021.</p>
</sec>
<sec id="s2_2">
<title>Study Selection</title>
<p>The inclusion criteria for the studies were: (1) observational studies published as full-length articles; (2) included adult male participants; (3) evaluated the association between prediabetes and ED; and (4) reported the relative risk for this association as compared men with normoglycemia after adjustment or control of potential confounding factors, at least for age. The definition of prediabetes was based on the criteria of the original articles, and the diagnostic criteria for ED were consistent with those of the original studies. Reviews, editorials, preclinical studies, and studies irrelevant to the aim of current meta-analysis were excluded.</p>
</sec>
<sec id="s2_3">
<title>Data Extracting and Quality Evaluation</title>
<p>Literature search, data extraction, and quality assessment of the included studies were performed independently by two authors according to the predefined inclusion criteria. Discrepancies were resolved by discussion with the corresponding author. The extracted data included: (1) name of first author, publication year, and country where the study was performed; (2) study design characteristics; (3)&#xa0;participant characteristics, including health status, sample size, and mean age; (4) definition for prediabetes and numbers of men with prediabetes; (5) diagnostic methods for ED and numbers of men&#xa0;with&#xa0;ED; and (6) confounding factors adjusted or controlled when the&#xa0;association was reported. The quality of each study was evaluated&#xa0;using the Newcastle-Ottawa Scale (<xref ref-type="bibr" rid="B25">25</xref>) which ranges from 1&#xa0;to 9 stars and judges each study regarding three aspects: selection of&#xa0;the study groups; the comparability of the groups; and the&#xa0;ascertainment of the outcome of interest.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analyses</title>
<p>We used odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) as the general measure for the association between prediabetes and ED as compared with men with normoglycemia. Data of ORs and their corresponding stand errors (SEs) were calculated from 95% CIs or P values, and were logarithmically transformed to stabilize variance and normalized the distribution (<xref ref-type="bibr" rid="B24">24</xref>). The Cochrane&#x2019;s Q test and estimation of I<sup>2</sup> statistic were used to evaluate the heterogeneity among the include cohort studies (<xref ref-type="bibr" rid="B26">26</xref>). A significant heterogeneity was considered if I<sup>2</sup> &gt; 50%. We used a random-effect model to synthesize the OR data because this model is considered as a more generalized method which incorporates the potential heterogeneity among the included studies (<xref ref-type="bibr" rid="B24">24</xref>). Sensitivity analyses, by omitting one individual study at a time, were performed to test the robustness of the results (<xref ref-type="bibr" rid="B27">27</xref>). Predefined subgroup analyses were performed to evaluate the influences of study characteristics on the outcome, including definition of prediabetes, study design, mean age of the male participants, methods for diagnosis of ED, and whether confounding factors besides age were controlled. Medians of continuous variables were used as the cutoff values for grouping. The potential publication bias was assessed by visual inspection of the symmetry of the funnel plots. Additionally, the Egger&#x2019;s regression asymmetry test was further performed for the evaluation of potential publication bias (<xref ref-type="bibr" rid="B28">28</xref>). We used the RevMan (Version 5.1; Cochrane Collaboration, Oxford, UK) and STATA software for the meta-analysis and statistics.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Literature Search</title>
<p>The process of database search was summarized in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. Briefly, 381 articles were found <italic>via</italic> initial literature search of the PubMed and Embase databases after excluding of the duplications. Among them, 356 were excluded through screening of the titles and abstracts mainly because they were not relevant to the purpose of the meta-analysis. Subsequently, 25 potential relevant records underwent full-text review. Of these, 16 were further excluded for the reasons listed in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. Finally, eleven observational studies, including five matched case-control studies (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>) and four cross-sectional studies (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>) were included.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of database search and study identification.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-733434-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Study Characteristics and Quality Evaluation</title>
<p>The characteristics of the included studies were summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Nine studies with 10980 male adults were included. Eight of them were published in English (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>), and the other one was published in Chinese (<xref ref-type="bibr" rid="B19">19</xref>). Three studies included men who attended clinics for sexual dysfunction (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B20">20</xref>), while the others included men attending the primary care facilities (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>) or from the community-derived population (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). The mean ages of the patients varied from 41 to 60 years. Multiple definitions of prediabetes were applied within the included studies, including IGT (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>), IFG (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>), IFG and/or IFG (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), and IGT or IFG or HbA1c (5.7~6.4%) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Accordingly, 3862 men had prediabetes. As for the diagnostic methods for ED, the International Index of Erectile Functions (IIEF) questionnaire was applied in seven studies (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). For the other two studies, ED was diagnosed based on self-reported symptoms (<xref ref-type="bibr" rid="B14">14</xref>) and Structured Interview on Erectile Dysfunction questionnaire (<xref ref-type="bibr" rid="B16">16</xref>), respectively. A total of 5511 male adults had ED. Age were controlled in all of the included studies, while in three studies (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>), other variables such as body weight, smoking, alcohol drinking, comorbidities, and serum total testosterone were adjusted to a different degree. The NOS scores of the included studies ranged from seven to eight, indicating generally good study quality (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the included observational studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Design</th>
<th valign="top" align="center">Participants</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Mean age (years) </th>
<th valign="top" align="center">Diagnosis of PreDM</th>
<th valign="top" align="center">No. of PreDM</th>
<th valign="top" align="center">Diagnosis of ED</th>
<th valign="top" align="center">No. of ED</th>
<th valign="top" align="center">Variables adjusted or matched</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Deutsch (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Matched CC</td>
<td valign="top" align="left">Men with suspected sexual dysfunction</td>
<td valign="top" align="center">183</td>
<td valign="top" align="center">41.1</td>
<td valign="top" align="center">IGT</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">Symptom based</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">Age</td>
</tr>
<tr>
<td valign="top" align="left">Grover (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="left">Men 40 years or older attending primary care facilities</td>
<td valign="top" align="center">3921</td>
<td valign="top" align="center">56.7</td>
<td valign="top" align="center">IFG</td>
<td valign="top" align="center">1552</td>
<td valign="top" align="center">IIEF questionnaire</td>
<td valign="top" align="center">1937</td>
<td valign="top" align="center">Age</td>
</tr>
<tr>
<td valign="top" align="left">Corona (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="left">Men attending outpatient clinic for sexual dysfunction</td>
<td valign="top" align="center">3451</td>
<td valign="top" align="center">57.3</td>
<td valign="top" align="center">IFG</td>
<td valign="top" align="center">659</td>
<td valign="top" align="center">SIEDY questionnaire</td>
<td valign="top" align="center">2240</td>
<td valign="top" align="center">Age, BMI, smoking, alcohol drinking, and TT levels</td>
</tr>
<tr>
<td valign="top" align="left">Rabijewski (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="left">Poland</td>
<td valign="top" align="left">Matched CC</td>
<td valign="top" align="left">Men attending the outpatient clinic for glucose metabolism disorders</td>
<td valign="top" align="center">360</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">IGT or IFG or HbA1c (5.7%~)</td>
<td valign="top" align="center">176</td>
<td valign="top" align="center">IIEF questionnaire</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">Age</td>
</tr>
<tr>
<td valign="top" align="left">Ettala (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="left">Community-dwelled men aged between 45~70 years</td>
<td valign="top" align="center">926</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">IGT or IFG</td>
<td valign="top" align="center">229</td>
<td valign="top" align="center">IIEF questionnaire</td>
<td valign="top" align="center">516</td>
<td valign="top" align="center">Age</td>
</tr>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Matched CC</td>
<td valign="top" align="left">Men attending routine healthcare examination</td>
<td valign="top" align="center">1500</td>
<td valign="top" align="center">45.4</td>
<td valign="top" align="center">IGT or IFG</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="center">IIEF questionnaire</td>
<td valign="top" align="center">386</td>
<td valign="top" align="center">Age</td>
</tr>
<tr>
<td valign="top" align="left">Rajput (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Matched CC</td>
<td valign="top" align="left">Men aged 30~60 years</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">46.6</td>
<td valign="top" align="center">IGT and/or IFG</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">IIEF questionnaire</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">Age</td>
</tr>
<tr>
<td valign="top" align="left">Krysiak (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Poland</td>
<td valign="top" align="left">Matched CC</td>
<td valign="top" align="left">Apparently healthy men aged 25~50 years</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">IGT and/or IFG</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">IIEF questionnaire</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">Age and body weight</td>
</tr>
<tr>
<td valign="top" align="left">Boeri  (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">CS</td>
<td valign="top" align="left">Men attending outpatient clinic for new onset sexual dysfunction</td>
<td valign="top" align="center">372</td>
<td valign="top" align="center">54.8</td>
<td valign="top" align="center">IGT or IFG or HbA1c (5.7%~)</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">IIEF questionnaire</td>
<td valign="top" align="center">129</td>
<td valign="top" align="center">Age, BMI, CCI, TT, smoking status, and alcohol consumption </td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PreDM, prediabetes mellitus; ED, erectile dysfunction; CC, case-control; CS, cross-sectional; IGT, impaired glucose tolerance; IFG, impaired fasting glucose; HbA1c, glycated hemoglobulin; IIEF, International Index of Erectile Functions; SIEDY, Structured Interview on Erectile Dysfunction; BMI, body mass index; CCI, Carlson Comorbidity Index; TT, total&#xa0;testosterone.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Details of study quality evaluation <italic>via</italic> the Newcastle-Ottawa Scale.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Adequate definition of cases</th>
<th valign="top" align="center">Representativeness of cases</th>
<th valign="top" align="center">Selection of controls</th>
<th valign="top" align="center">Definition of controls</th>
<th valign="top" align="center">Control for age</th>
<th valign="top" align="center">Control for other confounders</th>
<th valign="top" align="center">Exposure ascertainment</th>
<th valign="top" align="center">Same methods for events ascertainment</th>
<th valign="top" align="center">Non-response rates</th>
<th valign="top" align="center">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Deutsch (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Grover (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Corona (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Rabijewski (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Ettala (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Rajput and Banerjee, (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Krysiak (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Boeri (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Association Between Prediabetes and ED</title>
<p>In two studies (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>), the association between prediabetes and ED were separately reported for patients with IGT or IFG, and these datasets were separately included into the meta-analysis. Overall, pooling the results of 11 datasets from nine studies (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>) using a random-effect model showed that compared to those with normoglycemia, men with prediabetes had a higher prevalence of ED (OR: 1.62, 95% CI: 1.28 to 2.07, P &lt; 0.001; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>) with significant heterogeneity (P for Cochrane&#x2019;s Q test &lt; 0.001, I<sup>2</sup> = 78%). Sensitive analysis by excluding one study at a time did not significantly change the results (OR: 1.48~1.73, P all &lt; 0.05). In particular, sensitivity analyses excluding the two datasets from the study published in Chinese showed consistent results (OR: 1.32, 95% CI: 1.21 to 1.54, P &lt; 0.001, I<sup>2</sup> = 34%). Besides, sensitivity analyses excluding the study in which diagnosis of ED was based on self-reported symptoms also showed similar result (OR: 1.63, 95% CI: 1.27 to 2.09, P &lt; 0.001, I<sup>2</sup> = 80%). Subgroup analyses showed that difference in definitions of prediabetes did not seem to significantly affect the results (P for subgroup difference = 0.17, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). However, the association between prediabetes and ED seemed to be stronger in case-control studies than that in cross-sectional studies (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), and in studies with younger men (mean age &lt; 50 years) than in those with older men (mean age &#x2265; 50 years; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref> both P for subgroup difference &lt; 0.05). Particularly, the heterogeneity within subgroups diminished according to the mean ages of the men (I<sup>2</sup> = 0% in both subgroups; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>), suggesting that mean age of the participants may be a major source of heterogeneity. Additional subgroup analyses showed that the association between prediabetes and ED was not significantly affected by differences in diagnostic tool for ED or controlling of additional variables besides age (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>, both P for subgroup difference &gt; 0.05).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plots for the meta-analysis of the association between prediabetes and ED; <bold>(A)</bold> results of main meta-analysis; and <bold>(B)</bold> results of subgroup analyses according to definition of prediabetes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-733434-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Subgroup analyses the meta-analysis of the association between prediabetes and ED; <bold>(A)</bold> subgroup analyses according to the study design; and <bold>(B)</bold> subgroup analyses according to the mean age of male adults.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-733434-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Subgroup analyses the meta-analysis of the association between prediabetes and ED; <bold>(A)</bold> subgroup analyses according to the diagnostic methods for ED; and <bold>(B)</bold> subgroup analyses according to whether additional confounding factors were controlled besides age.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-733434-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Publication Bias</title>
<p>The funnel plots regarding the association between diabetes and ED were shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>. The funnel plots were symmetrical on visual inspection, suggesting low risk of publication bias. Egger&#x2019;s regression tests also suggested low risk of publication bias (P = 0.185).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Funnel plots for the publication bias underlying the meta-analysis of the association between prediabetes and ED.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-733434-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this meta-analysis, by pooling the results of nine observational studies controlling for age, we found that compared to men with normoglycemia, those with prediabetes were associated with higher prevalence of ED. Further subgroup analysis showed that mean age of the male participants in each study may significantly affect the results, which may substantially contribute to the heterogeneity of the included studies. Specifically, the association between prediabetes and ED seemed to be stronger in studies with younger men (mean age &lt; 50 years) than that in studies with older men (mean age &#x2265; 50 years). In addition, subgroup analyses showed that difference in definitions of prediabetes, diagnostic methods for ED, and controlling of additional variables besides age did not significantly affect the association. Taken together, these results showed that prediabetes is associated with higher prevalence of ED, which is independent of age and may be stronger in younger men.</p>
<p>To the best of our knowledge, this study is the first meta-analysis which summarized the association between prediabetes and ED. The study has several strengths which should be mentioned for better interpretation of the results. First, since advanced aging has been related to both hyperglycemia (<xref ref-type="bibr" rid="B29">29</xref>) and ED (<xref ref-type="bibr" rid="B30">30</xref>), it is important to know whether the association between prediabetes and ED could be confounded by aging. Accordingly, only studies matched or adjusted for age was included into the meta-analysis, and the results of the meta-analysis indicated that the association between prediabetes and ED was independent of age of the males. In addition, the robustness of the finding was further evaluated by the &#x201c;leave-one-out&#x201d; sensitivity analysis, which showed that the overall result of the meta-analysis was not primarily driven by either of the included studies. Moreover, several predefined subgroup analyses were performed to evaluate the influences of study characteristics on the association. Results showed that the association between prediabetes and ED was consistent and independent of definition of prediabetes, study design, methods for diagnosis of ED, and with or without controlling for variables besides age. It has been confirmed that many factors are involved in the pathogenesis of ED, such as cardiometabolic risk factors besides hyperglycemia (<xref ref-type="bibr" rid="B31">31</xref>), central weight gain (<xref ref-type="bibr" rid="B32">32</xref>), insulin resistance (<xref ref-type="bibr" rid="B33">33</xref>), inflammatory cytokines and leptin (<xref ref-type="bibr" rid="B34">34</xref>), and low testosterone (<xref ref-type="bibr" rid="B35">35</xref>), all of which may confound the possible relationship between prediabetes and ED. Accordingly, large-scale prospective stuides with adequate adjustment of the above factors are needed to determine the possible independent association between prediabetes and ED.</p>
<p>Interestingly, results of the subgroup analysis showed that the association between prediabetes and ED seemed to be stronger in studies with younger men than that with older men. The potential reasons for the results remain unknown. However, compared to older male participants, younger males were less likely to have various comorbidities that were associated with pathogenesis of ED, such as metabolic syndrome, hypertension, obesity, coronary artery disease, and multiple concurrent medications (<xref ref-type="bibr" rid="B36">36</xref>). Accordingly, compared to older male participants who usually have more comorbidity, the adverse influence of prediabetes and hyperglycemia on the pathogenesis and deterioration of ED may be more remarkable in younger men. This is important because ED has traditionally been considered a disease of old age; however, contemporary evidence suggests a growing incidence of ED in men younger (<xref ref-type="bibr" rid="B36">36</xref>). Indeed, a previous systematic review of large multinational studies has estimated the prevalence of ED in young men to be as high as 30% (<xref ref-type="bibr" rid="B36">36</xref>). Another study showed that age at first presentation for ED significantly decreased over the past decade, which highlighted the importance of careful assessment of ED even at younger age groups (<xref ref-type="bibr" rid="B37">37</xref>). Our study expanded these findings by showing that prediabetes in younger men may at risk for ED. From the perspective of prevention, these results highlight the possible importance of screening ED in men with prediabetes, particularly in young male population with prediabetes.</p>
<p>The potential pathophysiological basis for the association between prediabetes and ED may be similar to that between DM and ED. Persistent hyperglycemia is associated with systematic inflammation and endothelial dysfunction, which represents the common denominator leading to vascular ED (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Besides, hyperglycemia is associated with oxidative stress and autonomic and peripheral neuropathies, both of which were involved in the pathogenesis of ED <italic>via</italic> impairment of sensory impulses from the penis and parasympathetic activity for relaxation of the smooth muscle of the corpus cavernosum (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Moreover, prediabetes has also been related with reduced testosterone level, which has been recognized as a hormonal risk factor for ED (<xref ref-type="bibr" rid="B42">42</xref>). Similarly, prediabetes is shown to be associated with an increased risk of testosterone deficiency, independent of obesity and other cardiometabolic factors (<xref ref-type="bibr" rid="B43">43</xref>). Accordingly, screening for low testosterone may be considered in people with prediabetes and symptoms of ED and should be mandatory if ED is diagnosed. Interestingly, a recent study showed that patients with undiagnosed prediabetes were associated with lower rates of response to phosphodiesterase type 5 inhibitors (PDE5i) than normoglycemic men. These findings suggest that even milder forms of glucose impairment are associated with a worse efficacy of PDE5i in men with ED. Future studies are warranted to determine the exact and specific mechanisms underlying the association between prediabetes and ED.</p>
<p>Our study also has limitations. Firstly, all of the included observational studies were cross-sectional, and no longitudinal data was available for the association between prediabetes and incidence of ED. Accordingly, results of the meta-analysis should be validated in large-scale prospective cohort studies. Moreover, the meta-analysis was based on data from study level rather than data of individual patient. Therefore, results of subgroup analysis should be interpreted with caution. In addition, although age was controlled for all of the included studies, we could not exclude the possibility that other factors may confound the association between prediabetes and ED. In this regard, large-scale prospective cohort studies with careful adjustment of possible confounding factors are needed. Finally, a causative relationship between prediabetes and ED should be derived based on the finding of the meta-analysis because this is a meta-analysis of observational studies.</p>
<p>Taken together, results of the meta-analysis showed that prediabetes is associated with higher prevalence of ED, which may be independent of age of the males and may be stronger in young men. Although these findings should be validated in large-scale prospective cohort studies, these results may highlight the possible importance of screening ED in men with prediabetes, particularly in young male population with prediabetes.</p>
</sec>
<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>MJ, SY and CW designed the study. MJ and SY performed literature search, data extraction, and quality evaluation. MJ, BW, and LY performed statistical analyses and interpreted the results. MJ wrote the manuscript. All authors reviewed and revised the manuscript, and approved the manuscript for submission.</p>
</sec>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research 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="s8" sec-type="disclaimer">
<title>Publisher&#x2019;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>
</body>
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