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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.2021.741866</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>Risk of Venous Thromboembolism in Transgender People Undergoing Hormone Feminizing Therapy: A Prevalence Meta-Analysis and Meta-Regression Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Totaro</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/995960/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Palazzi</surname>
<given-names>Sara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Castellini</surname>
<given-names>Chiara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/699037"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Parisi</surname>
<given-names>Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/996043"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>D&#x2019;Amato</surname>
<given-names>Federica</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tienforti</surname>
<given-names>Daniele</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Baroni</surname>
<given-names>Marco Giorgio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Francavilla</surname>
<given-names>Sandro</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/290440"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Barbonetti</surname>
<given-names>Arcangelo</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/643935"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Andrology Unit, Department of Clinical Medicine, Public Health, Life and Environmental Sciences, University of L&#x2019;Aquila</institution>, <addr-line>L&#x2019;Aquila</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Neuroendocrinology and Metabolic Diseases, IRCCS Neuromed</institution>, <addr-line>Pozzilli (IS)</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Rosa Fern&#xe1;ndez, University of A Coru&#xf1;a, Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Nienke Nota, VU University Medical Center, Netherlands; Andrea Garolla, University of Padua, Italy; Francesco Lombardo, Sapienza University of Rome, Italy; Mats Holmberg, Karolinska University Hospital, Sweden</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Arcangelo Barbonetti, <email xlink:href="mailto:arcangelo.barbonetti@univaq.it">arcangelo.barbonetti@univaq.it</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Translational Endocrinology, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>741866</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Totaro, Palazzi, Castellini, Parisi, D&#x2019;Amato, Tienforti, Baroni, Francavilla and Barbonetti</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Totaro, Palazzi, Castellini, Parisi, D&#x2019;Amato, Tienforti, Baroni, Francavilla and Barbonetti</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>Although venous thromboembolism (VTE) is a recognized side effect of some formulations of estrogen therapy, its impact in transgender people remains uncertain. The aim of this study was to define pooled prevalence estimate and correlates of VTE in Assigned Males at Birth (AMAB) trans people undergoing gender affirming hormone therapy.</p>
</sec>
<sec>
<title>Methods</title>
<p>A thorough search of MEDLINE, COCHRANE LIBRARY, SCOPUS and WEB OF SCIENCE databases was carried out to identify suitable studies. Quality of the articles was scored using the Assessment Tool for Prevalence Studies. Data were combined using random effects models and the between-study heterogeneity was assessed by the Cochrane&#x2019;s Q and I<sup>2</sup>.</p>
</sec>
<sec>
<title>Results</title>
<p>The eighteen studies included gave information about 11,542 AMAB undergoing gender affirming hormone therapy. The pooled prevalence of VTE was 2% (95%CI:1-3%), with a large heterogeneity (I<sup>2 </sup>= 89.18%, P&lt;0.0001). Trim-and-fill adjustment for publication bias produced a negligible effect on the pooled estimate. At the meta-regression analysis, a higher prevalence of VTE was significantly associated with an older age (S=0.0063; 95%CI:0.0022,0.0104, P=0.0027) and a longer length of estrogen therapy (S=0.0011; 95%CI:0.0006,0.0016, P&lt;0.0001). When, according to the meta-regression results, the analysis was restricted to series with a mean age &#x2265;37.5 years, the prevalence estimate for VTE increased up to 3% (95%CI:0-5%), but with persistence of a large heterogeneity (I<sup>2 </sup>= 88,2%, P&lt;0.0001); studies on younger participants (&lt;37.5 years) collectively produced a pooled VTE prevalence estimate of 0% (95%CI:0-2%) with no heterogeneity (I<sup>2</sup> = 0%, P=0.97). Prevalence estimate for VTE in series with a mean length of estrogen therapy &#x2265;53 months was 1% (95%CI:0-3%), with persistent significant heterogeneity (I<sup>2 </sup>= 84,8%, P=0.0006); studies on participants subjected to a shorter length of estrogen therapy (&lt;53 months), collectively produced a pooled VTE prevalence estimate of 0% (95%CI:0-3%) with no heterogeneity (I<sup>2 </sup>= 0%, P=0.76).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The overall rate of VTE in AMAB trans people undergoing gender affirming hormone therapy was 2%. In AMAB population with &lt;37.5 years undergoing estrogen therapy for less than 53 months, the risk of VTE appears to be negligible. Further studies are warranted to assess whether different types and administration routes of estrogen therapy could decrease the VTE risk in AMAB trans people over 37.5 years subjected to long-term therapy.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>[<uri xlink:href="https://www.crd.york.ac.uk/PROSPERO/">https://www.crd.york.ac.uk/PROSPERO/</uri>], identifier [CRD42021229916].</p>
</sec>
</abstract>
<kwd-group>
<kwd>gender dysphoria</kwd>
<kwd>gender affirming hormone therapy</kwd>
<kwd>venous thomboembolism</kwd>
<kwd>transgender</kwd>
<kwd>estrogen</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="11"/>
<word-count count="4838"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Transgender people do not experience gender as consistent with their birth sex. The non-correlation between experienced gender and biological sex, known as gender incongruence (<xref ref-type="bibr" rid="B1">1</xref>), can lead to stigma, depression, body uneasiness, social margination for Assigned Males at Birth (AMAB) and Assigned Females at Birth (AFAB) trans people (&#x201c;gender dysphoria&#x201d;). For those who want to change all/some physical features can start gender affirming care (hormonal and/or surgical treatment).</p>
<p>According to a meta-analysis by Collin and colleagues, the overall prevalence estimates for transgender diagnoses were 2.5 per 100,000 for  AFAB and 5.8 per 100,000 for AMAB, although prevalence may vary based on different definitions (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>World Professional Association for Transgender Health (WPATH) guidelines define hormone treatment as medically necessary for transgenders asking for medical interventions to affirm their gender (<xref ref-type="bibr" rid="B3">3</xref>). The Endocrine Society recommends oral, transdermal, or intramuscular 17&#x3b2;-estradiol for AMAB trans people (<xref ref-type="bibr" rid="B4">4</xref>). Oral administration includes micronized 17&#x3b2;-estradiol, conjugated estrogens and estradiol valerate, quickly cleaved to 17&#x3b2;-estradiol, while ethinyl estradiol is no longer recommend because of the poor safety profile (<xref ref-type="bibr" rid="B5">5</xref>). Co-administration with androgen inhibitors (cyproterone, spironolactone, progesterone) is often chosen to foster feminization (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). However, the lack of international standardization of specific hormone regimens for gender affirming therapy in AMAB trans people hinders the knowledge of the side effects of hormone treatment, including venous thromboembolism (VTE).</p>
<p>The incidence rate of VTE in young women who do not use estrogens is about 1 in 10,000 per year (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Much of the available data on thrombotic risk associated to estrogen treatment steams from studies on cisgender women treated with combined oral contraceptives (COCs), or with hormone replacement therapy (HRT) (<xref ref-type="bibr" rid="B11">11</xref>). In cisgender women, COC increases the risk of VTE by approximately 2&#x2013;4 fold (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>) and a higher risk would result from increases in estrogen dose (<xref ref-type="bibr" rid="B13">13</xref>). Transdermal estrogen formulations used for HRT in postmenopausal women do not seem to be associated with a significant increase in the VTE risk (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>) and had showed a low thrombogenic profile in AMAB trans people, although there are no head-to-head studies with other estrogen formulations (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). However, thrombophilia, smoking, obesity, age, major surgery and fractures are well-recognized risk factors in the general population and could contribute, alone or in combination, to promote VTE in COC and HRT users (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Results of studies on the thrombotic risk in cisgender women under COC or HRT should not be translated to AMAB trans people due to differences in age, estrogen formulations and doses (<xref ref-type="bibr" rid="B23">23</xref>); cisgender women and AMAB trans people do have genetic differences and AMAB usually also use androgen inhibitors. Furthermore, many data on the risk of VTE in AMAB trans people undergoing feminizing hormone treatment have been produced in case reports or small series, thus reaching a low statistical power (<xref ref-type="bibr" rid="B18">18</xref>). In a meta-analysis by Khan and colleagues (<xref ref-type="bibr" rid="B7">7</xref>), the incidence rate for VTE was 2.3 per 1,000 person-years (95% CI: 0.8 &#x2013; 6.9). However, this estimate was burdened with a large and unexplained between-study heterogeneity (I <sup>2</sup> = 74%; P = 0.0039). More recently, a systematic review pointed to a significantly higher incidence of VTE in treated AMAB compared to AFAB trans people (42.8 <italic>vs</italic> 10.8 VTE per 10,000 patient years; P = 0.02) (<xref ref-type="bibr" rid="B24">24</xref>). Again, a large between-study heterogeneity arose, and the qualitative approach did not allow the identification of covariates potentially able to influence the pooled data.</p>
<p>Given the large unexplained heterogeneity among the studies, the actual impact and risk of VTE in AMAB trans people receiving  gender affirming hormone therapy remains uncertain. In this light, we aimed to perform a systematic review and a meta-analysis of available studies to define pooled prevalence estimate and correlates of VTE in AMAB undergoing hormone feminizing therapy.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>The study was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) (<xref ref-type="bibr" rid="B25">25</xref>). It also complies with the guidelines of Meta-Analyses and Systematic Reviews of Observational Studies (MOOSE) (<xref ref-type="bibr" rid="B26">26</xref>). The PRISMA-P and MOOSE checklists have been presented as <xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Table&#xa0;1</bold>
</xref> (A and B). The study is registered in the PROSPERO (International Prospective Register of Systematic Reviews) with the number CRD42021229916. (<uri xlink:href="https://www.crd.york.ac.uk/PROSPERO/">https://www.crd.york.ac.uk/PROSPERO/</uri>).</p>
<sec id="s2_1">
<title>Systematic Search Strategy</title>
<p>A systematic search was performed in MEDLINE, Scopus, Cochrane Library and Web of Science, including the following free and vocabulary terms: &#x2018;gender dysphoria&#x2019;, &#x2018;gender identity&#x2019;, &#x2018;MTF&#x2019;, &#x2018;Assigned Males at Birth&#x2019;, &#x2018;AMAB&#x2019;, &#x2018;gender transition&#x2019;, &#x2018;transsexual&#x2019;, &#x2018;transfeminine&#x2019;, &#x2018;transwomen&#x2019;, &#x2018;gender affirmation&#x2019;, &#x2018;gender affirming hormone therapy&#x2019;, &#x2018;feminizing therapy&#x2019;, &#x2018;estrogen&#x2019;, &#x2018;hormone therapy&#x2019;, &#x2018;thrombosis&#x2019;, &#x2018;embolism&#x2019;, &#x2018;thromboembolism&#x2019;, using the Boolean functions AND/OR. The search was restricted to English-language studies enrolling human participants, published up to April 2021. If it was not clear from the abstract whether the study contained relevant data, the full text was retrieved. The reference lists of the identified articles were also scrutinized to find possible additional pertinent studies.</p>
</sec>
<sec id="s2_2">
<title>Inclusion and Exclusion Criteria</title>
<p>Eligible studies were identified according to a PECOS (Population, Exposure, Comparison/Comparator, Outcomes, Study design) model (<xref ref-type="supplementary-material" rid="ST2">
<bold>Supplementary Table&#xa0;2</bold>
</xref>).</p>
<p>Studies were included in quantitative analysis if they reported the prevalence (or information for its calculation) of VTE events in AMAB trans people recruited from the general population or from cohorts of patients. Observational studies (case-control, cross-sectional, prospective and series of cases), as well as intervention studies were screened for eligibility. Only information about cases (AMAB trans people) were extracted from case-control studies. Duplicates were rigorously checked and removed.</p>
<p>Reviews, meta-analyses and studies lacking to assess the outcomes of interest were excluded. When the same population sample was used for multiple publications, only the study with the largest number of participants was included.</p>
<p>Two independent reviewers (M.T. and S.P.) evaluated the full text of all selected studies for eligibility, and, where disagreement occurred, a third reviewer (A.B.) took a decision after open discussion.</p>
</sec>
<sec id="s2_3">
<title>Data Extraction</title>
<p>Data were extracted from the selected studies by four independent reviewers (A.P., S.P., F.D.A. and D.T.) by including the first author, publication year, country/geographic region, study design, the total number of AMAB and the number of those who have experienced a VTE event. When available, the mean age and body mass index (BMI) of the participants, smoking habit, type, dosage and duration of hormone therapy, diagnosis of comorbidities, including type-2 diabetes mellitus (T2DM), dyslipidemia and hypertension, were also taken into account. When summary statistics were not fully reported, these were calculated, whenever possible (<xref ref-type="bibr" rid="B27">27</xref>). Where data were missing, incomplete or inconsistent, the authors were contacted to obtain necessary information.</p>
</sec>
<sec id="s2_4">
<title>Quality Assessment</title>
<p>Quality of the studies was assessed using an adapted Assessment Tool for Prevalence Studies (<xref ref-type="bibr" rid="B28">28</xref>). This tool, designed to assess the risk of bias in prevalence studies, considers 10 different items, including representativeness and selection of the study population, likelihood of non-response bias, process of data collection, appropriateness of the definition of cases (AMAB trans people) as well as of the measurement of the parameter of interest (prevalence of VTE). Response options for individual items were either low or high risk of bias and a summary assessment of the overall risk of bias was based on the subjective judgment attributed to the 10 items: 7-10 items with &#x2018;low risk&#x2019; judgment indicated an overall low risk of bias; 4-6 items with &#x2018;low risk&#x2019; judgment indicated an overall moderate risk of bias; 0-3 items with &#x2018;low risk&#x2019; judgment indicated an overall high risk of bias.</p>
<p>Quality assessment was performed independently by 2 reviewers (M.T. and C.C.) and any disagreement was resolved by involving a third reviewer (A.B.) who re-evaluated the original study.</p>
</sec>
<sec id="s2_5">
<title>Statistical Analysis</title>
<p>The pooled prevalence of VTE was estimated by a random-effects model which assumes that the included studies have varying effect sizes, thus providing a conservative estimate of the overall effect. The 95% confidence intervals (CIs) of the prevalence reported in individual studies were estimated from the proportion of cases of VTE and the sample size, using the binomial Clopper-Pearson exact method. After ascertaining the non-normal distribution of the original data sets (by the Shapiro-Wilk test), the Freeman-Tukey double arcsine transformation was applied to the primary study data to approximate normality. The final pooled results and 95% CIs were back transformed and expressed as percentages for an easier interpretation. An inverse variance method was used for weighting each study in the pooled estimates. The Cochran&#x2019;s Chi square (Cochran&#x2019;s Q) test and the I<sup>2</sup> test were used to analyze the statistical heterogeneity between the results of different studies: an I<sup>2</sup> &gt;50% and/or P &lt;0.05 indicated substantial heterogeneity (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Publication bias was assessed through funnel plots (<xref ref-type="bibr" rid="B30">30</xref>) and the Begg adjusted rank correlation test (<xref ref-type="bibr" rid="B31">31</xref>). In case of asymmetric funnel shape, Duval and Tweedie&#x2019;s &#x2018;trim-and-fill&#x2019; analysis was carried out to detect putative missing studies which could rebalance the distribution; the analysis provides an adjusted pooled estimate taking the additional studies into account, thus correcting the analysis for publication bias (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Covariates that could affect the estimates, such as the mean age and BMI of the participants, comorbidities, smoking habit, type, dosage and duration of hormone therapy were included in linear meta-regression models.</p>
<p>Data were analyzed and graphed using the packages &#x2018;metafor&#x2019; and &#x2018;ggplot2&#x2019; of the R statistical software (version 4.0.3, 2020; The R Foundation for Statistical Computing, Vienna, Austria).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Study Selection and Quality Assessment</title>
<p>From the electronic search we retrieved a total of 1039 studies and, after removal of duplicates, 910 studies were left. 811 papers were excluded as irrelevant, based on title and abstract reading. Hence, as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, 99 studies were identified, of which 18 met the inclusion criteria (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). The studies by Asscheman and colleagues published in 1989 (<xref ref-type="bibr" rid="B50">50</xref>) and 2011 (<xref ref-type="bibr" rid="B51">51</xref>) were excluded since the population under investigation was already included in the paper by van Kesteren et&#xa0;al., 1997 (<xref ref-type="bibr" rid="B47">47</xref>). The studies by Wierckx et&#xa0;al., 2012 (<xref ref-type="bibr" rid="B52">52</xref>) and Wierckx et&#xa0;al., 2014 (<xref ref-type="bibr" rid="B53">53</xref>) were also excluded because subjects included were considered in the study by Wierckx et&#xa0;al., 2013 (<xref ref-type="bibr" rid="B48">48</xref>). Details of the selected articles are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="supplementary-material" rid="ST3">
<bold>Supplementary Table&#xa0;3</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram showing an overview of the study selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-741866-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">AMAB (n)</th>
<th valign="top" align="center">VTE (n, %)</th>
<th valign="top" align="center">Thrombophilia inherited risk factors</th>
<th valign="top" align="center">Months of therapy (mean)</th>
<th valign="top" align="center">Mean age (years)</th>
<th valign="top" align="center">Mean BMI (kg/m<sup>2</sup>)</th>
<th valign="top" align="center">Oral estrogen (n, %)</th>
<th valign="top" align="center">DM (n, %)</th>
<th valign="top" align="center">Hypertension (n, %)</th>
<th valign="top" align="center">Dyslipidemia (n, %)</th>
<th valign="top" align="center">Current smokers (n, %)</th>
<th valign="top" align="center">Estrogen valerate (n, %)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Arnold et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">676</td>
<td valign="top" align="center">1 (0.15%)</td>
<td valign="top" align="center">Case with VTE negative for anti-phospholipid Abs, factor V Leiden or PT gene mutations</td>
<td valign="top" align="center">22.8</td>
<td valign="top" align="center">33.2</td>
<td valign="top" align="center">26.6</td>
<td valign="top" align="center">676 (100%)</td>
<td valign="top" align="center">43 (6.4%)</td>
<td valign="top" align="center">88 (13.0%)</td>
<td valign="top" align="center">59 (8.7%)</td>
<td valign="top" align="center">143 (21.2%)</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Dittrich et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">1 (1.67%)</td>
<td valign="top" align="center">Case with VTE positive for a homozygous mutation in C677 T MTHFR</td>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center">38.4</td>
<td valign="top" align="center">24.2</td>
<td valign="top" align="center">60 (100%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">60 (100%)</td>
</tr>
<tr>
<td valign="top" align="left">Getahun et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2842</td>
<td valign="top" align="center">61 (2.15%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">853 (30.0%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">461 (16.0%)</td>
<td valign="top" align="center">170 (6.0%)</td>
<td valign="top" align="center">434 (15.0%)</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Jain et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">40.8</td>
<td valign="top" align="center">31.0</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Kozato et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">662</td>
<td valign="top" align="center">1 (0.20%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">35.6</td>
<td valign="top" align="center">25.7</td>
<td valign="top" align="center">210 (31.7%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Meyer et&#xa0;al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">3 (1.90%)</td>
<td valign="top" align="center">One case with VTE positive for heterozygous PT mutation</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">73 (47.1%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">155 (100%)</td>
</tr>
<tr>
<td valign="top" align="left">Mullins et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center">Thrombophilia screening: elevated PAI-1 levels, n = 5; PAI-1 gene polymorphism, n = 5; elevated factor VIII level, n = 4</td>
<td valign="top" align="center">20.8</td>
<td valign="top" align="center">18.0</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">165 (90.7%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">94 (51.6%)</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Nolan et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">178</td>
<td valign="top" align="center">1 (0.60%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">67.2</td>
<td valign="top" align="center">36.2</td>
<td valign="top" align="center">25.2</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">8 (4.5%)</td>
<td valign="top" align="center">15 (8.4%)</td>
<td valign="top" align="center">12 (6.7%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Nota et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2517</td>
<td valign="top" align="center">73 (2.90%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Ott et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center">Thrombophilia screening: aPC resistance, n = 12; aPC resistance + homozygous factor V Leiden mutation, n = 1</td>
<td valign="top" align="center">64.8</td>
<td valign="top" align="center">36.6</td>
<td valign="top" align="center">22.7</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">2 (1.2%)</td>
<td valign="top" align="center">35 (21.6%)</td>
<td valign="top" align="center">62 (38.3%)</td>
<td valign="top" align="center">96 (59.3%)</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Prior et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">12.0</td>
<td valign="top" align="center">32.7</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">50 (100%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Pyra et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2509</td>
<td valign="top" align="center">19 (0.80%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">53.1</td>
<td valign="top" align="center">37.5</td>
<td valign="top" align="center">32.9</td>
<td valign="top" align="center">946 (37.7%)</td>
<td valign="top" align="center">83 (3.3%)</td>
<td valign="top" align="center">49 (1.9%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Schlatterer et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">26 (56.5%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">20 (43.5%)</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Seal et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">330</td>
<td valign="top" align="center">4 (1.20%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">109.2</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">330 (100%)</td>
<td valign="top" align="center">1 (0.3%)</td>
<td valign="top" align="center">2.6%</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">163 (49.4%)</td>
</tr>
<tr>
<td valign="top" align="left">Tack et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">15.6</td>
<td valign="top" align="center">17.6</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">21 (100%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">21 (100%)</td>
</tr>
<tr>
<td valign="top" align="left">van Kesteren et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">816</td>
<td valign="top" align="center">45 (5.50%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">46.5</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">61 (7.5%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Wierckx et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">214</td>
<td valign="top" align="center">11 (5.10%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">152.0</td>
<td valign="top" align="center">43.7</td>
<td valign="top" align="center">24.7</td>
<td valign="top" align="center">99 (46.3%)</td>
<td valign="top" align="center">8 (3.7%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">91 (42.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Wilson et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6.0</td>
<td valign="top" align="center">38.6</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">23 (76.7%)</td>
<td valign="top" align="center">0 (0.0%)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">2 (6.6%)</td>
<td valign="top" align="center">0 (0.0%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as mean or number (%). Abs, antibodies; AMAB, Assigned Males at Birth; BMI, body mass index; DM, diabetes mellitus; MTHFR, methylenetetrahydrofolate reductase; NR, not reported; PAI-1, plasminogen activator inhibitor-1; PT, prothrombin; VTE, thromboembolic events.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> showed quality assessment of the studies: 15 studies were considered at low/moderate risk of bias, whereas an overall high risk of bias was attributed to the remaining 3 studies.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Quality assessment of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Q1</th>
<th valign="top" align="center">Q2</th>
<th valign="top" align="center">Q3</th>
<th valign="top" align="center">Q4</th>
<th valign="top" align="center">Q5</th>
<th valign="top" align="center">Q6</th>
<th valign="top" align="center">Q7</th>
<th valign="top" align="center">Q8</th>
<th valign="top" align="center">Q9</th>
<th valign="top" align="center">Q10</th>
<th valign="top" align="center">OVERALL</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Arnold et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Low risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Dittrich et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Low risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Getahun et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Jain et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Low risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Kozato et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="left">High risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Meyer et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mullins et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nolan et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nota et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Ott et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Prior et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Low risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pyra et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Schlatterer et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Seal et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">High risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Tack et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="left">High risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>van Kesteren et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Low risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Wierckx et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="left">Moderate risk of bias</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Wilson et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="left">Low risk of bias</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>H, High risk; L, Low risk.</p>
</fn>
<fn>
<p>Q1. Was the study&#x2019;s target population a close representation of the national population in relation to relevant variables?</p>
</fn>
<fn>
<p>Q2. Was the sampling frame a true or close representation of the target population?</p>
</fn>
<fn>
<p>Q3. Was some form of random selection used to select the sample, OR was a census undertaken?</p>
</fn>
<fn>
<p>Q4. Was the likelihood of non-response bias minimal?</p>
</fn>
<fn>
<p>Q5. Were data collected directly from the subjects (as opposed to a proxy)?</p>
</fn>
<fn>
<p>Q6. Was an acceptable case definition used in the study?</p>
</fn>
<fn>
<p>Q7. Was the study instrument that measured the parameter of interest (prevalence of thromboembolic events) shown to have reliability and validity?</p>
</fn>
<fn>
<p>Q8. Was the same mode of data collection used for all subjects?</p>
</fn>
<fn>
<p>Q9. Was the length of the shortest prevalence period for the parameter of interest appropriate?</p>
</fn>
<fn>
<p>Q10. Were the numerator(s) and denominator(s) for the parameter of interest appropriate?</p>
</fn>
<fn>
<p>OVERALL. Summary item on the overall risk of study bias: 7-10 items with &#x2018;low risk&#x2019; judgment = overall low risk of bias; 4-6 items with &#x2018;low risk&#x2019; judgment = overall moderate risk of bias; 0-3 items with &#x2018;low risk&#x2019; judgment = overall high risk of bias.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Synthesis of Results and Publication Bias</title>
<p>As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, the included studies collectively gave information about VTE in 11,542 AMAB trans people, resulting in a pooled VTE prevalence estimate of 2.0% (95% CI: 1.0 - 3.0%), with a large heterogeneity (I<sup>2</sup> = 89.2%, <italic>P</italic>
<sub>for heterogeneity</sub> &lt;0.0001).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot depicting the pooled prevalence estimate for venous thromboembolism (VTE) in Assigned Males at Birth (AMAB) trans people. Diamond indicates the overall summary estimate and the width of the diamond represents the 95% confidence interval (CI); boxes indicate the weight of individual studies in the pooled result.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-741866-g002.tif"/>
</fig>
<p>Although the Begg&#x2019;s rank correlation test suggested a not significant asymmetry in funnel plot of VTE (Kendall&#x2019;s &#x3c4; = 0.072, P = 0.71), the trim-and-fill analysis identified five putative &#x2018;missing study&#x2019; on the right side of distribution (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). Nevertheless, when the funnel plot distribution was rebalanced by including these putative additional studies, the adjustment for publication bias produced a negligible effect on the pooled prevalence estimate for VTE (adjusted pooled prevalence: 1.9%, 95% CI: 1.0 - 2.9%).</p>
</sec>
<sec id="s3_3">
<title>Analysis of the Between-Study Heterogeneity: Meta-Regression and Sub-Group Analyses</title>
<p>Meta-regression analyses were carried out to find out covariates that could affect the prevalence estimate. No significant relationship with VTE was found for BMI (S = -0.0021; 95% CI: -0.0199, 0.0158, P = 0.8), number of current smokers (S = -0.0017; 95% CI: -0.0041, 0.0007, P = 0.2), number of participants taking oral estrogen therapy (S = 0.0000; 95%CI: -0.0010, 0.0010, P = 0.9), number of participants taking estrogen valerate (S = 0.0008; 95% CI: -0.0003, 0.0019, P = 0.2), diagnosis of T2DM (S = -0.0018; 95% CI: -0.0220, 0.0183, P = 0.9), dyslipidemia (S = -0.0024; 95% CI: -0.0063, 0.0014, P = 0.2), and hypertension (S = -0.0029; 95% CI: -0.0103, 0.0044, P = 0.4).</p>
<p>Both an older age of the participants and a longer length of estrogen therapy were significantly associated with a higher prevalence of VTE (for mean age of participants: S = 0.0063; 95% CI: 0.0022, 0.0104, P = 0.0027, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>; for mean months of estrogen therapy: S = 0.0011; 95% CI: 0.0006, 0.0016, P &lt;0.0001, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Meta-regression bubble plots: prevalence of venous thromboembolism (VTE) in Assigned Males at Birth (AMAB) trans people as a function of the mean age <bold>(A)</bold> and mean length of estrogen therapy <bold>(B)</bold>. The predicted effects (solid line) with corresponding confidence intervals (gray range) are also shown. CI, confidence interval; S, slope.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-741866-g003.tif"/>
</fig>
<p>To substantiate the impact of the age and therapy duration as sources of the between-study heterogeneity, in subsequent sub-group analyses, pooled estimates were calculated separately for studies enrolling AMAB trans people below and above 37.5 years of age and for those on participants under estrogen therapy for less or more than 53 months. Dichotomization values were chosen according to the distributions of meta-regression bubble plots (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<p>When analysis was restricted to series with a mean age &#x2265;37.5 years, the prevalence estimate for VTE increased up to 3.0% (95% CI: 0.0 - 5.0%), but with persistence of a large heterogeneity (I<sup>2</sup> = 88.2%, P &lt; 0.0001; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). On the contrary, studies on younger participants (mean age &lt;37.5 years) collectively produced a pooled VTE prevalence estimate of 0.0% (95% CI: 0.0 - 2.0%) with no heterogeneity (I<sup>2</sup> = 0.0%, P = 0.97; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plots depicting the results of the subgroup analysis of the prevalence of venous thromboembolism (VTE) in Assigned Males at Birth (AMAB) trans people by mean age. The pooled prevalence estimate was calculated separately for studies enrolling AMAB <bold>(A)</bold> above and <bold>(B)</bold> below 37.5 years of age. Diamonds indicate the overall summary estimates and width of the diamonds represents the 95% confidence interval (CI); boxes indicate the weight of individual studies in the pooled results.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-741866-g004.tif"/>
</fig>
<p>Estimate prevalence for VTE in series under estrogen therapy for more than 53 months was 1.0% (95% CI: 0.0 - 3.0%), with persistent significant heterogeneity (I<sup>2</sup> = 84.8%, P = 0.0006, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). As shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>, studies on participants under estrogen therapy for less than 53 months, instead, produced a pooled VTE prevalence estimate of 0.0% (95% CI: 0.0 - 3.0%) with no heterogeneity (I<sup>2</sup> = 0.0%, P = 0.77).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plots depicting the results of the subgroup analysis of the prevalence of venous thromboembolism (VTE) in Assigned Males at Birth (AMAB) trans people by length of estrogen therapy. The pooled prevalence estimate was calculated separately for studies enrolling AMAB under estrogen therapy for <bold>(A)</bold> more and <bold>(B)</bold> less than 53 months. Diamonds indicate the overall summary estimates and width of the diamonds represents the 95% confidence interval (CI); boxes indicate the weight of individual studies in the pooled results.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-741866-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>To our knowledge, this is the largest meta-analysis performed on VTE risk in AMAB trans people under gender-affirming hormone therapy: it included 18 studies, collectively giving information about 11,542 AMAB trans people. The overall pooled VTE prevalence estimate was 2%, but with large heterogeneity. Our results were similar to those of Khan and colleagues (<xref ref-type="bibr" rid="B7">7</xref>), who reported an incidence rate for VTE in AMAB treated with estrogens of 2.3 per 1,000 person-years, resulting from the analysis of a smaller number of studies. According to a recent systematic review by Kotamarti et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>), the incidence of VTE in AMAB would be significantly higher than in AFAB trans people.</p>
<p>A number of factors could contribute to the variable VTE risk in transgender people undergoing gender affirming treatment, including the type of estrogen and the route of administration, age at the estrogen therapy onset, length of therapy, concomitant conditions such as smoking, obesity, thrombophilia and comorbidities (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B56">56</xref>). In the present study, meta-regression analyses showed no significant relationship of VTE with BMI, smoking, diagnosis of T2DM, dyslipidemia and hypertension, albeit with the due caution this subject deserves due to the lack of information about these variables in many studies (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="supplementary-material" rid="ST3">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). Indeed, it is known that obesity increases the risk of VTE in cisgender women using COCs (<xref ref-type="bibr" rid="B21">21</xref>) and the combination of COCs and smoking could exert a synergistic effect (<xref ref-type="bibr" rid="B22">22</xref>). Interestingly, consistent with our findings, in the recent systematic review by Kotamarty et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>), although AMAB trans people exhibited a lower BMI and an almost 2-fold higher prevalence of smoking compared to cisgender women, these variables were not correlated with the risk of VTE. Moreover, in the present meta-analysis, neither estrogen valerate nor oral estrogen use was related to VTE risk. Unfortunately, the dearth of information about type of estrogen and route of administration (<xref ref-type="supplementary-material" rid="ST3">
<bold>Supplementary Table&#xa0;3</bold>
</xref>) did not allow us to carry out sub-group analyses with these variables.</p>
<p>Worth noting and previously not reported was the here revealed significant association of VTE with an older age of participants and a longer length of estrogen therapy, thus indicating that the longer the exposure time to therapy, the greater the rate of thromboembolic complications for AMAB trans people. Accordingly, when we restricted the analyses to younger series (mean age &lt;37.5 years) and those under estrogen therapy for less than 53 months, the risk was wiped out with no between-study heterogeneity. Therefore, we surmise that the enrollment of series with different mean age and different length of estrogen therapy contributed to the large between-study heterogeneity. Although statistical analyses produced an overall VTE prevalence of 0% in sub-groups younger than 37.5 years and under estrogen therapy for less than 53 months, a complete absence of risk would be unrealistic in these populations. Our results should instead suggest that a not negligible rate of VTE, albeit low, has to be taken into account after 4-5 years of estrogen therapy, especially in older AMAB trans people. This latter finding, if on one hand could be due to an actual thrombophilic effect of prolonged estrogen treatment regimens (<xref ref-type="bibr" rid="B54">54</xref>), on the other, it could reflect a higher number of VTE diagnoses arising over time from regular control visits which usually trans people undergo in clinical settings. The persistence of a large between-study heterogeneity in these sub-analyses might be related to the different prevalence of comorbidities in the study populations, as well as to other variables, including the possible influence of different regimens of antiandrogens.</p>
<p>This study has some limitations. First, as mentioned above, the paucity of available data did not allow to perform reliable quantitative analyses to assess the best estrogen treatment regimen associated with the lowest risk for VTE in this population. However, transdermal estrogens and oral estradiol valerate are recommended by the current WPATH guidelines in people with VTE risk factors (<xref ref-type="bibr" rid="B3">3</xref>) while the use of ethinyl estradiol formulation is not recommended (<xref ref-type="bibr" rid="B18">18</xref>). Furthermore, the impact of inherited risk factors for VTE in AMAB trans people undergoing gender affirming hormone therapy remains uncertain as only five studies reported results of thrombophilia screening (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Finally, the trim-and-fill analysis revealed a possible publication bias, suggesting that published studies might be not fully a representative sample of the available evidence. Nevertheless, the corrected pooled OR, taking into account the putative missing studies, demonstrated that publication bias did not substantially affect the overall estimate.</p>
<p>In conclusion, the overall rate of VTE in AMAB trans people undergoing gender-affirming hormone therapy was 2%. Our analyses revealed that in AMAB series with younger age (&lt;37.5 years) and under estrogen therapy for less than 53 months the risk of VTE appears to be negligible. Further studies investigating type and modalities of estrogen therapy are warranted to better manage the risk of VTE in this population.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>MT and AB conceived the concept and design. MT, SP, and AB evaluated the full text of all selected studies for eligibility. AP, SP, FD&#x2019;A, and DT were involved in the acquisition of the data. MT, AB, and CC were involved in evaluation of quality assessment. MT and AB were involved in the statistical analysis and interpretation of the data. MT wrote the article under SF supervision. MB and SF critically reviewed the article. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This research was supported by the Ministero dell&#x2019;Istruzione, Universit&#xe0; e Ricerca (MIUR), grant number: 2017XLFJAX.</p>
</sec>
<sec id="s8" 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="s9" 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>
<back>
<sec id="s10" 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/fendo.2021.741866/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2021.741866/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Funnel plots of results from studies assessing the prevalence of venous thromboembolism (VTE). The trim-and-fill analysis identified five putative missing studies (white circle) on the right side of distribution.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.doc" id="ST1" mimetype="application/msword"/>
<supplementary-material xlink:href="Table_2.docx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_3.docx" id="ST3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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