Evidence map›Paper›PMID 42807467›Full record

ArticleInternational journal of transgender health2026

Effect of anti-androgens on body composition in transgender people: Secondary analysis of a randomized clinical trial.

Lachlan M Angus, Shalem Y Leemaqz, James C G Doery, Ada S Cheung

Abstract read
In one paragraph

Article in International journal of transgender health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lachlan M AngusDepartment of Medicine, The University of Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-5842-6173
Shalem Y LeemaqzCollege of Medicine and Public Health, Flinders University, Adelaide, Australia.ORCID https://orcid.org/0000-0003-4616-8426
James C G DoeryDepartment of Chemical Pathology, Monash Health, Victoria, Australia.
Ada S CheungDepartment of Medicine, The University of Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5257-5525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transgender people desiring feminization commonly use cyproterone acetate or spironolactone, but the optimal anti-androgen to achieve feminization of body composition is unclear. Aims: To assess the effect of anti-androgens on body composition. We hypothesized cyproterone acetate would result in a greater increase in body fat than spironolactone due to greater suppression of serum testosterone concentration and more potent androgen receptor antagonism. Methods: Secondary analysis of a randomized clinical trial of transgender people aged 18+ years newly commencing estradiol and randomized to spironolactone 100 mg daily or cyproterone acetate 12.5 mg daily for six months. Pre-specified secondary outcomes including waist circumference, hip circumference, waist/hip ratio and whole body dual x-ray absorptiometry (DXA). Results: Sixty-three people were included in intention-to-treat analysis (cyproterone acetate Discussion: Feminization of body composition was evident following six months of hormone therapy. Cyproterone acetate caused a greater increase in percentage total body fat, gynoid fat and android fat compared to spironolactone. Given the change in the android/gynoid fat ratio was similar, and that the waist/hip ratio did not change over time, it is unclear whether cyproterone acetate offers an advantage to spironolactone.

Indexed as

Anti-androgenbody compositionfeminizationtestosteronetransgender

Identifiers

PMID42807467
PMCPMC13618089

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.