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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.2025.1537838</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>Effects of gender affirming hormone therapy with testosterone on renal function of assigned female at birth transgender people: a meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tienforti</surname>
<given-names>Daniele</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2745006/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Spagnolo</surname>
<given-names>Luca</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2910928/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Piscitani</surname>
<given-names>Luca</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tonni</surname>
<given-names>Camilla</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Donatelli</surname>
<given-names>Vittoria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cordeschi</surname>
<given-names>Giuliana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/996616/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Baroni</surname>
<given-names>Marco Giorgio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2806145/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Barbonetti</surname>
<given-names>Arcangelo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/643935/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Andrology Unit, Department of Clinical Medicine, Life, Health 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>Spinal Unit, San Raffaele Sulmona Institute</institution>, <addr-line>Sulmona</addr-line>, <country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Nephrology and Dialysis Division, Department of Medicine, San Salvatore Hospital</institution>, <addr-line>L&#x2019;Aquila</addr-line>, <country>Italy</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo</institution>, <addr-line>Teramo</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Sarah Burke, University of Groningen, Netherlands</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Matthew C. Babcock, University of Colorado Anschutz Medical Campus, United States</p>
<p>Adriana De Sousa Lages, Braga Hospital, Portugal</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Daniele Tienforti, <email xlink:href="mailto:danieletienforti@gmail.com">danieletienforti@gmail.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Daniele Tienforti, <uri xlink:href="https://orcid.org/0000-0002-9359-7955">orcid.org/0000-0002-9359-7955</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1537838</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Tienforti, Spagnolo, Piscitani, Tonni, Donatelli, Cordeschi, Baroni and Barbonetti</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Tienforti, Spagnolo, Piscitani, Tonni, Donatelli, Cordeschi, Baroni 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>Objective</title>
<p>The impact of testosterone-based gender affirming hormone therapy (T-GAHT) on kidney function in transgender individuals assigned female at birth (AFAB) remains a matter of clinical uncertainty and debate. This study aimed to quantify through a meta-analytical approach the changes in estimated glomerular filtration rate (eGFR), a widely used clinical parameter that reflects how efficiently the kidneys filter waste products from the blood, and in secondary markers of kidney functions in this population during 24 months of GAHT. The eGFR was calculated using the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equation, which estimates kidney filtration based on serum creatinine, age, and sex.</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 Effective Public Health Practice Project. Data were combined using random effects models and the between-study heterogeneity was assessed using Cochrane&#x2019;s Q and I<sup>2</sup>.</p>
</sec>
<sec>
<title>Results</title>
<p>Twenty included studies provided information about an overall sample of 2380 individuals. The pooled estimates documented a significant decrease in eGFR (CKD-EPI equation) at 6 and 12 months with respect to baseline, using the attributed (female) gender. When the CKD-EPI equation was referred to the perceived (male) gender, eGFR significantly decreased after 12 months but not after 6 months of T-GAHT. The trend of eGFR values showed a transient decline during the first year of therapy, followed by stabilization at 18 and 24 months. This pattern is likely attributable to increased creatinine production due to testosterone-induced gains in muscle mass, rather than to a true decline in kidney function. Among the secondary outcomes, pooled estimates revealed significant increases of creatinine and uric acid levels at all follow-up times. On the contrary, blood urea nitrogen (BUN), a waste product filtered by the kidneys and commonly used to assess renal function, did not change significantly after either 6 months or 12 months of T-GAHT.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The influence of T-GAHT on eGFR in the first two years in healthy, young AFAB transgender individuals appears to be statistically significant, but is likely not clinically relevant. This interpretation is supported by the stability of BUN levels and the absence of adverse renal events in the included studies, suggesting preserved kidney function despite changes in creatinine-based estimates. Further research is warranted to identify more accurate tools for evaluating kidney function in this population, particularly during the early months of treatment or in individuals with pre-existing renal conditions.</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 CRD42024596106.</p>
</sec>
</abstract>
<kwd-group>
<kwd>AFAB</kwd>
<kwd>testosterone</kwd>
<kwd>creatinine</kwd>
<kwd>gender dysphoria</kwd>
<kwd>gender incongruence</kwd>
<kwd>kidney</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="62"/>
<page-count count="11"/>
<word-count count="3781"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Renal Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Interpretation of laboratory tests in transgender individuals can be challenging in routine care, especially when the analytes have sex-specific reference intervals (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Health care professionals may be asked whether to use reference ranges based on assigned sex, self-identified gender, or a combined approach (<xref ref-type="bibr" rid="B3">3</xref>). Factors such as the type of hormone therapy initiated or its duration may influence this decision (<xref ref-type="bibr" rid="B4">4</xref>). Accurate interpretation is crucial for appropriate clinical decision-making.</p>
<p>This issue becomes particularly relevant when assessing the effects of gender-affirming hormone therapy (GAHT) on kidney function, a parameter influenced by several clinical and lifestyle-related factors (e.g., hydration, nutrition, comorbidities, and medications) and monitored through various biochemical markers. Available evidence does not clearly establish whether, and to what extent, testosterone preparations affect renal function in cisgender individuals (<xref ref-type="bibr" rid="B5">5</xref>), nor whether GAHT may exacerbate pre-existing renal impairment in transgender people assigned female at birth (AFAB) (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Indeed, the assessment of kidney function in this population undergoing testosterone-based GAHT (T-GAHT) presents several challenges. First, testosterone treatment, by increasing muscle mass&#x2014;and consequently serum creatinine (SCr) levels&#x2014;could lead to an overestimation of renal dysfunction or may lead to a misclassification of kidney function (<xref ref-type="bibr" rid="B8">8</xref>). Second, there is still no specific formula validated for estimating glomerular filtration rate (eGFR) in transgender individuals. Currently, the most widely used formula is the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation (<xref ref-type="bibr" rid="B9">9</xref>), which incorporates sex as a covariate because creatinine production is lower in cisgender females than in cisgender males due to differences in muscle mass; in addition, substantial sex- and gender-related differences in diet may exist. Consequently, if these factors are not properly accounted for, eGFR may be systematically overestimated in cisgender females (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>In an attempt to overcome this limitation, some researchers suggest calculating an &#x201c;intermediate&#x201d; GFR value by averaging male and female estimates (<xref ref-type="bibr" rid="B11">11</xref>), while others recommend using the sex corresponding to the individual&#x2019;s gender identity if GAHT has been ongoing for more than six months, although this approach is better validated for transgender men (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>While these methodological challenges are important and deserve careful consideration, the central clinical question remains whether testosterone-based GAHT itself induces measurable changes in renal function in AFAB individuals. To address this question, we conducted a comprehensive systematic review and meta-analysis aimed at evaluating whether T-GAHT leads to clinically meaningful alterations in renal parameters&#x2014;including eGFR, SCr, uric acid, and blood urea nitrogen (BUN)&#x2014;over a follow-up period of up to 24 months. By doing so, we aimed to contribute to the expanding field of transgender medicine by offering a clearer understanding of the renal effects of masculinizing hormone therapy, beyond the technical difficulties inherent to laboratory test interpretation.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<p>The study was conducted according to the statement Preferred Reporting Items for Systematic reviews and Meta-analyses protocols (PRISMA-P) (<xref ref-type="bibr" rid="B13">13</xref>); it also complies with the guidelines for Meta-Analyses and Systematic Reviews of Observational Studies (MOOSE) (<xref ref-type="bibr" rid="B14">14</xref>). The study protocol was registered in the international prospective registry for systematic reviews (PROSPERO) with registration number CRD42024596106.</p>
<sec id="s2_1">
<title>Systematic search strategy</title>
<p>A systematic search was carried out in PubMed, Scopus, Web of Science and Cochrane Library to identify the studies published in English on this topic up to November 2024. The databases were queried by means of a purpose-built search string using the biomedical vocabulary Medical Subject Headings (MeSH) of PubMed. For the extraction of publications (records), the following terms were used: &#x201c;transgender&#x201d;, &#x201c;AFAB&#x201d;, &#x201c;FtM&#x201d;, &#x201c;female to male&#x201d;, &#x201c;transmen&#x201d;, &#x201c;trans men&#x201d;, &#x201c;GAHT&#x201d;, &#x201c;gender-affirming hormone therapy&#x201d;, &#x201c;testosterone&#x201d;, &#x201c;androgen*&#x201d;, &#x201c;kidney&#x201d;, &#x201c;uric acid&#x201d;, &#x201c;BUN&#x201d;, &#x201c;urate&#x201d;, &#x201c;urea&#x201d;, &#x201c;creatinine&#x201d;, &#x201c;proteinuria&#x201d;, &#x201c;cystatin&#x201d;, &#x201c;creatinine clearance&#x201d;, eGFR, GFR, &#x201c;Cockcroft-Gault&#x201d;, &#x201c;MDRD&#x201d;, &#x201c;CKD-EPI&#x201d;, &#x201c;SCr/Q&#x201d;, &#x201c;CKiDU25&#x201d;. To combine these key terms we used the Boolean operators AND/OR. If it was not clear from reading the abstract whether the study contained relevant data, the full text was retrieved. Finally, possible additional studies were identified by means of a manual search among the references cited in the articles included.</p>
</sec>
<sec id="s2_2">
<title>Inclusion and exclusion criteria</title>
<p>The study selection for inclusion was carried out in several stages. In the identification phase, querying the databases identified potentially eligible studies that could be included in the meta-analysis. Following the removal of repeated articles (same publication found in more than one database), in the second phase, studies of possible interest were screened by reading the title and abstract. In the third phase, the remaining articles were assessed in full text for eligibility. The following criteria were used: (1) studies enrolling AFAB transgender individuals undergoing T-GAHT; (2) availability of pre- and post-intervention values related to the primary outcome and/or one or more of the secondary outcomes, as reported below. Observational studies, as well as longitudinal intervention studies were considered eligible, while we excluded studies that did not focus on the target population, lacked relevant outcomes, used a non-eligible design, or presented incomplete or inconsistent data. Two independent reviewers (D.T., L.S.) assessed the full text of all selected studies to establish eligibility, and any disagreements were resolved through an open discussion involving a third reviewer (A.B.). The flow-chart proposed by Page et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>) was used to schematize the steps for the inclusion of studies.</p>
</sec>
<sec id="s2_3">
<title>Quality assessment</title>
<p>The methodological quality of the included articles was established using the Quality assessment tool for Quantitative studies developed by the Effective Public Health Practice Project (EPHPP) (<xref ref-type="bibr" rid="B16">16</xref>). This quality assessment tool, used for intervention studies as well as randomized controlled and case-control studies, was also validated for systematic reviews (<xref ref-type="bibr" rid="B17">17</xref>). It considers the following domains: selection bias, study design, confounding factors, study blindness, data collection method and losses at follow-up. The quality of each domain can be indicated as strong (strong), moderate (moderate) or weak (weak), and in the overall judgment, the quality can be considered strong, if no weak score was assigned, moderate, if only a weak judgment was assigned to one of the domains, and finally, weak, if two or more weak judgments were assigned to several domains. Two independent reviewers (D.T., L.S.) performed the quality assessment.</p>
</sec>
<sec id="s2_4">
<title>Data extraction</title>
<p>Data were extracted from the studies selected by two independent reviewers (D.T., A.B.). The primary outcome was the mean difference in estimated glomerular filtration rate (eGFR) at 6, 12, 18 and 24 months of GAHT with respect to the baseline, using the CKD-EPI equation for both attributed (female) and self-identified (male) gender. The secondary outcomes were the variations over time in SCr, blood urea nitrogen (BUN), uric acid (UA) levels, systolic (SBP) and diastolic blood pressure (DBP). Additional information extracted, when available, were mean age and body mass index (BMI) of the participants, as well as the type of testosterone preparation administered.</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>The effect of the T-GAHT on kidney parameters was assessed with Mantel-Haenszel estimates using the mean difference (MD) and 95% confidence interval (CI) when different follow-up times were compared with the baseline values. The Cochran&#x2019;s &#x3c7;<sup>2</sup> (Cochran&#x2019;s Q) and I<sup>2</sup> tests were carried out to analyze statistical heterogeneity between the results of different studies: I<sup>2</sup>&gt;50% and/or p&lt;0.05 indicated substantial heterogeneity (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Data were combined using a random effects model. Even when a low heterogeneity was detected, a random-effects model was applied, because the validity of tests for heterogeneity can be limited with a small number of included studies. Publication bias was explored through the funnel plot (<xref ref-type="bibr" rid="B20">20</xref>) and Duval and Tweedie trim-and-fill test (<xref ref-type="bibr" rid="B21">21</xref>), to help detect presumed missing studies to rebalance the funnel distribution in the presence of a skewed shape. In addition, the test recalculates the combined estimate after the inclusion of these putative missing studies, thus correcting the analysis for publication bias. Data were analyzed using the Review Manager of the Cochrane Library (version5.3; The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, Denmark) and the R statistical software (version 3.6.3, 2020; The R Foundation for Statistical Computing, Vienna, Austria) with the &#x201c;metafor&#x201d; package.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Study selection</title>
<p>Searching from database yielded a total of 175 studies. Removal of duplicates resulted in a total of 118 publications, of which 73 were judged to be irrelevant simply by reading the title and abstract. Thus, as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, 45 articles were identified, of which 20 met the inclusion criteria (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). Details of the studies included in the quantitative synthesis are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</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-16-1537838-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Main characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">First author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">N</th>
<th valign="top" align="center">Mean age (years)</th>
<th valign="top" align="center">Mean BMI</th>
<th valign="top" align="center">Testosterone treatment</th>
<th valign="top" align="center">Parameters</th>
<th valign="top" align="center">Follow-up visits (months)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chen (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">multicentric</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">24 &#xb1; 6</td>
<td valign="top" align="center">24.5 &#xb1; 6</td>
<td valign="top" align="center">TG 50&#x2009;mg day<break/>MTE 250&#x2009;mg/2&#x2013;3 weeks</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-3</td>
</tr>
<tr>
<td valign="top" align="left">Fadich (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">26 &#xb1; 9</td>
<td valign="top" align="center">29.4 &#xb1; 6.8</td>
<td valign="top" align="center">TG 30.5 mg/day<break/>TDP 2&#x2013;4 mg/24 hour<break/>MTE 60 mg/week</td>
<td valign="top" align="center">creatinine<break/>BUN<break/>CKD-EPI</td>
<td valign="top" align="center">0-6-12</td>
</tr>
<tr>
<td valign="top" align="left">Fernandez &amp; Tannock (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">30 &#xb1; 8</td>
<td valign="top" align="center">28.1 &#xb1; 2.1</td>
<td valign="top" align="center">TU 11.36 mg/day</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-3-6-18</td>
</tr>
<tr>
<td valign="top" align="left">Humble (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">24 &#xb1; 6</td>
<td valign="top" align="center">29.6 &#xb1; 8.4</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">creatinine<break/>BUN</td>
<td valign="top" align="center">0-6</td>
</tr>
<tr>
<td valign="top" align="left">Kirisawa (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">27 &#xb1; 6</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">TE 125&#x2013;250 mg</td>
<td valign="top" align="center">uric acid</td>
<td valign="top" align="center">0-3-6-12-24</td>
</tr>
<tr>
<td valign="top" align="left">Korpaisarn (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Thailand</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">28 &#xb1; 6</td>
<td valign="top" align="center">24.6 &#xb1; 4.8</td>
<td valign="top" align="center">TE 50&#x2013;100 mg/week</td>
<td valign="top" align="center">creatinine<break/>uric acid</td>
<td valign="top" align="center">0-24</td>
</tr>
<tr>
<td valign="top" align="left">Kurahashi (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">TE 125&#x2013;250 mg</td>
<td valign="top" align="center">uric acid</td>
<td valign="top" align="center">0-3-6-12</td>
</tr>
<tr>
<td valign="top" align="left">Liu (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Taiwan</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">28 &#xb1; 1</td>
<td valign="top" align="center">22.6 &#xb1; 0.3</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-6-12-24</td>
</tr>
<tr>
<td valign="top" align="left">Maheshwari (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">25 &#xb1; 7</td>
<td valign="top" align="center">35.8 &#xb1; 5.1</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-3-6-12</td>
</tr>
<tr>
<td valign="top" align="left">Meriggiola (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2008</td>
<td valign="top" align="center">multicentric</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">34 &#xb1; 4</td>
<td valign="top" align="center">22.2 &#xb1; 2.1</td>
<td valign="top" align="center">MTE 110 + 25 mg/7&#x2013;15 days</td>
<td valign="top" align="center">creatinine<break/>BUN</td>
<td valign="top" align="center">0-12</td>
</tr>
<tr>
<td valign="top" align="left">Millington (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">194</td>
<td valign="top" align="center">16 &#xb1; 2</td>
<td valign="top" align="center">23.9 &#xb1; 1.4</td>
<td valign="top" align="center">TCsc 40 mg/week<break/>TDP 40.5 mg/day</td>
<td valign="top" align="center">creatinine<break/>CKD-EPI</td>
<td valign="top" align="center">0-6-12-18-24</td>
</tr>
<tr>
<td valign="top" align="left">Scharff (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">multicentric</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">278</td>
<td valign="top" align="center">24 &#xb1; 7</td>
<td valign="top" align="center">25.5 &#xb1; 5.6</td>
<td valign="top" align="center">TG 50&#x2009;mg day<break/>MTE 250&#x2009;mg/2&#x2013;3 weeks<break/>TU 1000 mg/12 weeks</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-12</td>
</tr>
<tr>
<td valign="top" align="left">Stoffers (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">the Netherlands</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">17 &#xb1; 3</td>
<td valign="top" align="center">22.4 &#xb1; 3.4</td>
<td valign="top" align="center">TP 125/2 weeks</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-6-12-24</td>
</tr>
<tr>
<td valign="top" align="left">Tominaga (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2024</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">291</td>
<td valign="top" align="center">25 &#xb1; 6</td>
<td valign="top" align="center">22.1 &#xb1; 3.2</td>
<td valign="top" align="center">TE 62.5-125-250</td>
<td valign="top" align="center">creatinine<break/>uric acid</td>
<td valign="top" align="center">0-3-6-9-12-24&#x2192;120</td>
</tr>
<tr>
<td valign="top" align="left">Van Eeghen (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">the Netherlands</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">285</td>
<td valign="top" align="center">23 &#xb1; 1</td>
<td valign="top" align="center">26.0 &#xb1; 6.0</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">creatinine<break/>CKD-EPI</td>
<td valign="top" align="center">0-12</td>
</tr>
<tr>
<td valign="top" align="left">Van Kesteren (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">1996</td>
<td valign="top" align="center">the Netherlands</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">26 &#xb1; 6</td>
<td valign="top" align="center">21.7 &#xb1; 2.4</td>
<td valign="top" align="center">MTE 250 mg/2&#x2013;3 weeks</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-12</td>
</tr>
<tr>
<td valign="top" align="left">Vlot (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">the Netherlands</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">26 &#xb1; 9</td>
<td valign="top" align="center">24.9 &#xb1; 1.5</td>
<td valign="top" align="center">TU 1000 mg/12 weeks<break/>TG 50 mg/day<break/>MTE 250 mg/2&#x2013;3 weeks</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-12</td>
</tr>
<tr>
<td valign="top" align="left">Wiepjes (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">the Netherlands</td>
<td valign="top" align="center">retrospective</td>
<td valign="top" align="center">543</td>
<td valign="top" align="center">26 &#xb1; 2</td>
<td valign="top" align="center">25.6 &#xb1; 5.7</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-12</td>
</tr>
<tr>
<td valign="top" align="left">Wierckx (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">multicentric</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">25 &#xb1; 8</td>
<td valign="top" align="center">24.8 &#xb1; 5.3</td>
<td valign="top" align="center">TU 1000 mg/12 weeks<break/>MTE 250 mg/2 weeks</td>
<td valign="top" align="center">creatinine</td>
<td valign="top" align="center">0-12</td>
</tr>
<tr>
<td valign="top" align="left">Yahyaoui (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2008</td>
<td valign="top" align="center">Spain</td>
<td valign="top" align="center">prospective</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">25 &#xb1; 5</td>
<td valign="top" align="center">25.4 (4.9)</td>
<td valign="top" align="center">TDP 5 mg/day<break/>MTE 250 mg/2 weeks</td>
<td valign="top" align="center">uric acid</td>
<td valign="top" align="center">0-12-24</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MTE, mixed testosterone esters; NS, not specified; TT, total testosterone; TC, testosterone cypionate; TCsc, testosterone cypionate subcutaneous; TDP, testosterone in transdermal patch; TE, testosterone enanthate; TED, testosterone enanthate depot; TG, testosterone gel; TP, testosterone propionate; tT, total testosterone; TU, testosterone undecanoate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Quality assessment</title>
<p>The quality assessment based on the EPHPP is summarized in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Overall, most studies (15 of 20) received a methodological quality rating of &#x2018;&#x2018;moderate&#x2019;&#x2019; (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>) and 5 studies were scored as &#x2018;&#x2018;weak&#x2019;&#x2019; (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B38">38</xref>). The items &#x2018;&#x2018;confounders&#x2019;&#x2019; and &#x201c;data collection methods&#x201d; received the highest rating among all the included studies; on the contrary, the item &#x2018;&#x2018;blinding&#x2019;&#x2019; was the most lacking, as in none of the studies the participants and the researchers who assessed outcomes were blind to the study conditions. Seven studies received a &#x2018;&#x2018;moderate&#x2019;&#x2019; or &#x2018;&#x2018;weak&#x2019;&#x2019; methodological quality rating in the item &#x2018;&#x2018;withdrawals and dropouts&#x2019;&#x2019; because of the large difference in the number of participants between initial enrollment and the end of follow-up (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B38">38</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Quality assessment of included studies by Effective Public Health Practice Project quality assessment tool.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Study</th>
<th valign="middle" align="center">Selection bias</th>
<th valign="middle" align="center">Study design</th>
<th valign="middle" align="center">Confounders</th>
<th valign="middle" align="center">Blinding</th>
<th valign="middle" align="center">Data collection <break/>methods</th>
<th valign="middle" align="center">Withdrawals and drop-outs</th>
<th valign="middle" align="center">Global rating</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>Chen 2019</italic> (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Fadich 2022</italic> (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Fernandez 2016</italic> (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="middle" align="center">weak</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Humble 2019</italic> (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Kirisawa 2021</italic> (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="middle" align="center">weak</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Korpaisarn 2021</italic> (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="middle" align="center">weak</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Kurahashi 2013</italic> (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Liu 2022</italic> (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Maheshwari 2022</italic> (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Meriggiola 2008</italic> (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Millington 2022</italic> (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Scharff 2019</italic> (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Stoffers 2019</italic> (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="middle" align="center">weak</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Tominaga 2024</italic> (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>van Eeghen 2023</italic> (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>van Kesteren 1996</italic> (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Vlot 2019</italic> (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Wiepjes 2019</italic> (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="middle" align="center">weak</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Wierckx 2014</italic> (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Yahyaoui 2008</italic> (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">moderate</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">weak</td>
<td valign="top" align="center">strong</td>
<td valign="middle" align="center">strong</td>
<td valign="middle" align="center">moderate</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Primary outcome: glomerular filtration rate</title>
<p>Three studies reported information on calculated GFR in a total of 141 and 407 AFAB individuals after 6 and 12 months of T-GAHT, respectively (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The overall mean difference (MD) documented a statistically significant decrease in GFR at 6 and 12 months as assessed by CKD-EPI equation, using the attributed (female) gender (6 months: MD = -12.52; 95% CI: -16.65, -8.4, p &lt;0.0001; I<sup>2</sup> = 0%, P<sub>for heterogeneity</sub> = 0.35; 12 months: MD = -17.21; 95% CI: -19.44, -14.97, p &lt;0.00001; I<sup>2</sup> = 0%, P<sub>for heterogeneity</sub> = 0.82). When the self-identified (male) gender was included in the CKD-EPI equation, a significant decrease in GFR was revealed after 12 months (MD = -0.64; 95% CI: -0.88, -0.40, p &lt;0.00001; I<sup>2</sup> = 54%, P<sub>for heterogeneity</sub> = 0.11) but not 6 months of GAHT (MD = -0.27; 95% CI: -0.66, 0.11, p = 0.16; I<sup>2</sup> = 50%, P<sub>for heterogeneity</sub> = 0.35). The trend of the weighted averages of the estimated glomerular filtration rate values using the CKD-EPI formula according to attributed or self-identified gender at each follow-up time is presented in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>: it suggests an initial decrease in eGFR during early T-GAHT, likely reflecting changes in creatinine production rather than impaired renal function.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forests plot of the effects of T-based GAHT on Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) mean values (ml/min/1.73 m&#xb2;) in TM according to assigned <bold>(A)</bold> or perceived <bold>(B)</bold> gender. Diamonds indicate the overall effect estimates (and diamond width the 95% CI); squares indicate the weight of individual studies in the aggregate estimate. CI confidence interval, IV inverse variance, T Testosterone, GAHT gender affirming hormone therapy, TM transmen.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1537838-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Trends in weighted average glomerular filtration rate values estimated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula at each follow-up time point. The distinction between eGFR trajectories is represented using different markers: square symbols indicate estimates based on female sex in the CKD-EPI equation, while circles correspond to self-identified male gender.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1537838-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Secondary outcomes</title>
<p>Secondary endpoints included changes under GAHT in SCr, UA, BUN, SBP and DBP levels. Overall
combined estimates documented a significant increase in SCr at all follow-up times (3, 6, 12, 18, and 24 months) compared with baseline, albeit with significant heterogeneity between studies after the third month (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>).</p>
<p>Overall, UA levels also increased significantly after 6, 12, and 24 months compared with baseline, with high reproducibility among studies (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>).</p>
<p>On the contrary, BUN did not change significantly after either 6 months or 12 months of therapy (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>).</p>
<p>Finally, while DBP did not change significantly at either 6 or 12 months (<xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure&#xa0;4A</bold>
</xref>), SBP increased significantly after 6 months of therapy, returning to values not significantly different from baseline after 12 months (<xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure&#xa0;4B</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<title>Publication bias</title>
<p>Given the unavailability of an adequate number of studies for most of the outcomes analyzed, including the primary outcome, we assessed publication bias only for data on the change in SCrvalues at 12 months of therapy. As shown in <xref ref-type="supplementary-material" rid="SF5">
<bold>Supplementary Figure&#xa0;5</bold>
</xref>, the asymmetric shape of the funnel plot might suggest the presence of publication bias. However, the trim-and-fill analysis did not identify any putative missing studies.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>To our knowledge, this is the first systematic review and meta-analysis assessing the impact of testosterone-based gender affirming hormone therapy (T-GAHT) on kidney function in transgender individuals assigned female at birth (AFAB).</p>
<p>The direct effect of testosterone administration on kidney physiology has been explored in several preclinical studies using murine models, yielding inconclusive findings. Sex hormones appear to exert opposing actions on renal tissue: testosterone induces podocyte injury, while estrogens are protective (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>). Conversely, in male rats, testosterone has been shown to mitigate renal ischemia&#x2013;reperfusion injury, independently of estradiol (<xref ref-type="bibr" rid="B44">44</xref>). Lichtenecker et&#xa0;al. reported that testosterone treatment in female rats increased glomerular area and kidney size after four months, although this was associated with reduced GFR and histological changes (<xref ref-type="bibr" rid="B45">45</xref>). Other studies in male rodents have shown that early orchiectomy may prevent proteinuria and delay glomerulosclerosis (<xref ref-type="bibr" rid="B46">46</xref>), suggesting a detrimental role of androgens. In humans, androgens have been implicated in increased blood pressure and impaired renal function (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>), potentially through enhanced tubular sodium and water reabsorption (<xref ref-type="bibr" rid="B49">49</xref>) and activation of vasoconstrictive pathways such as the renin&#x2013;angiotensin system and endothelin (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>). In line with these findings, our analysis showed a transient increase in systolic blood pressure after six months of T-GAHT, followed by stabilization.</p>
<p>In recent years, several studies have examined how best to estimate GFR in transgender individuals receiving hormone therapy (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B35">35</xref>), including whether to use the sex assigned at birth or the individual&#x2019;s self-identified gender. In our analysis, we assessed changes in eGFR using both approaches across all follow-up timepoints. As highlighted by Krasowski, this choice impacts CKD stage classification according to KDIGO 2013 guidelines (<xref ref-type="bibr" rid="B53">53</xref>). Most of the included studies relied on the 2009 version of the CKD-EPI equation, which incorporates a race-based correction. Although the updated 2021 race-neutral equation (<xref ref-type="bibr" rid="B54">54</xref>) is now recommended, particularly in the United States (<xref ref-type="bibr" rid="B55">55</xref>), we used the published eGFR values without recalculating them due to the lack of access to individual-level data. This is acknowledged as a methodological limitation.</p>
<p>Using the female coefficient in CKD-EPI, despite ongoing masculinization and male gender identification, may overestimate renal function during follow-up. This explains the artifactual increase in eGFR observed when switching from sex-assigned-at-birth to affirmed-gender coefficients (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). However, when a consistent coefficient is applied over time, eGFR values decrease at 6 and 12 months and then stabilize at 18 and 24 months.</p>
<p>Whether this pattern reflects true renal impairment remains uncertain. The observed rise in SCr during the first year of T-GAHT, as reported in several studies (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>), likely reflects testosterone-induced increases in muscle mass and altered body composition (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). This interpretation is supported by the concomitant rise in uric acid levels, which plateau after 12 months (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>), consistent with increased purine metabolism.</p>
<p>Transient hemodynamic changes, such as the rise in systolic blood pressure at six months (<xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure&#xa0;4B</bold>
</xref>), may also contribute to these changes. However, the absence of significant alterations in BUN (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>) and the lack of reported cases of new-onset hypertension or antihypertensive treatment suggest that these variations are more likely to represent a physiological adaptation to masculinization rather than early signs of pathological renal involvement (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>), consistent with recent insights into testosterone&#x2019;s cardiovascular effects during gender-affirming therapy (<xref ref-type="bibr" rid="B62">62</xref>). Future research should clarify whether T-GAHT poses any clinically significant risk of hypertension.</p>
<p>This meta-analysis has several limitations. The observational nature of all included studies, combined with the absence of control groups, limits the ability to control for confounding variables. Attrition bias is also notable, as several studies reported substantial loss to follow-up. Moreover, most participants were young and had normal kidney function at baseline, which restricts the generalizability of our findings to older individuals or those with pre-existing renal disease. Additionally, none of the included studies assessed alternative biomarkers of renal function, such as cystatin C, which is less influenced by muscle mass and may better reflect glomerular filtration in individuals undergoing masculinizing hormone therapy. Although van Eeghen et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>) acknowledged the potential value of cystatin C, no longitudinal data were reported. Finally, while a few studies mentioned the concurrent use of GnRH agonists (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B33">33</xref>), none stratified renal outcomes by treatment regimen or explored the specific impact of GnRH suppression. This remains an important area for future investigation.</p>
<p>In conclusion, testosterone-based GAHT appears to have a&#xa0;statistically significant impact on eGFR in healthy, young AFAB&#xa0;individuals during the first two years of therapy. However, these changes are unlikely to reflect clinically meaningful renal&#xa0;impairment. eGFR values&#x2014;regardless of whether calculated using male or female CKD-EPI coefficients&#x2014;tend to stabilize after&#xa0;12 months and remain well above thresholds for renal dysfunction. These findings underscore the importance of cautious interpretation of renal function markers during early T-GAHT. Further studies are needed to evaluate these effects in more diverse populations, particularly in older individuals and those with existing kidney disease, and to validate sex-independent tools for accurately monitoring renal function in transgender people receiving gender-affirming hormone therapy.</p>
</sec>
</body>
<back>
<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/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>DT: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LS: Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LP: Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CT: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. VD: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. GC: Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MB: Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AB: Conceptualization, Data curation, Formal analysis, Methodology, Software, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare(s) that no financial support was received for the research and/or publication of this article.</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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare(s) that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s10" 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>
<sec id="s11" 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.2025.1537838/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2025.1537838/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.tif" id="SM1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Forest plot of the effects of T-based GAHT on creatinine mean values (mg/dl) in TM. Diamonds indicate the overall effect estimates (and diamond width the 95% CI); squares indicate the weight of individual studies in the aggregate estimate. CI confidence interval, IV inverse variance, T Testosterone, GAHT gender affirming hormone therapy, TM transmen.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Forest plot of the effects of T-based GAHT on uric acid values (mg/dl) in TM. Diamonds indicate the overall effect estimates (and diamond width the 95% CI); squares indicate the weight of individual studies in the aggregate estimate. CI confidence interval, IV inverse variance, T Testosterone, GAHT gender affirming hormone therapy, TM transmen.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image3.tif" id="SF3" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Forest plot of the effects of T-based GAHT on BUN values in TM. Diamonds indicate the overall effect estimates (and diamond width the 95% CI); squares indicate the weight of individual studies in the aggregate estimate. BUN blood urea nitrogen (mg/dl), CI confidence interval, IV inverse variance, T Testosterone, GAHT gender affirming hormone therapy, TM transmen.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image4.tif" id="SF4" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;4</label>
<caption>
<p>Forest plot of the effects of T-based GAHT in TM on diastolic (<bold>A</bold>) and systolic (<bold>B</bold>) blood pressure values (mmHg). Diamonds indicate the overall effect estimates (and diamond width the 95% CI); squares indicate the weight of individual studies in the aggregate estimate. CI confidence interval, IV inverse variance, T Testosterone, GAHT gender affirming hormone therapy, TM transmen.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image5.tif" id="SF5" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;5</label>
<caption>
<p>Funnel plot of results from studies assessing changes in creatinine levels (mg/dl) after 12 months of testosterone-based gender affirming hormone therapy.</p>
</caption>
</supplementary-material>
</sec>
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