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Record W2921765725 · doi:10.1210/jc.2019-00524

Response to Letter to the Editor: “Progesterone Is Important for Transgender Women’s Therapy—Applying Evidence for the Benefits of Progesterone in Ciswomen”

2019· letter· en· W2921765725 on OpenAlexaff
Jerilynn C. Prior

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2019
Typeletter
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsWomen's Health Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsTransgenderTransgender womenMedicineGynecologyPsychologyFamily medicinePsychoanalysisHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Thank you for reading my recent Perspective article, suggesting that progesterone would be an important addition to transgender women’s gender-affirming hormone therapy (GAHT) that now usually consists of high-dose estradiol, with or without an antiandrogen (1). I appreciate the commitment that we all share to the practice of GAHT, as it evolves from physiology to evidence-supported clinical practice. Surely, physicians and endocrinology specialists believe that women’s reproduction requires both estradiol and progesterone. The development of secondary sexual characteristics is also positively affected by both of these ovarian hormones. We know that estradiol interacts with receptors in multiple tissues and influences numerous physiological systems (hence, the Women’s Health Initiative’s hypothesis that estrogen would protect against women’s cardiovascular disease). Evidence from multiple tissues and in many species has shown further that estradiol and progesterone are part of a unified system in which estradiol primarily causes cellular proliferation, and progesterone stimulates cellular maturation while counterbalancing overproliferation (2). It is therefore reasonable that transgender women should have access to both important hormones in a physiological reproductive system. I appreciate that we currently have no systematic assessments of transgender women’s lobular breast maturation, as likely reflected by differences in areolar size. A testable hypothesis is that that the areola will enlarge with estrogen–progesterone therapy; we showed this in early photo-documented clinical observations (3). The quoted Wierckx et al. (4) paper did not measure areolar diameter. It is clear from many studies and a meta-analysis in cisgender women that breast cancer risks are lower on estrogen–progesterone than on estrogen–progestin (5). That makes it even more important that authors not extrapolate, as they did in their letter, from Women’s Health Initiative data that tested medroxyprogesterone and did not study the physiological actions of progesterone. Randomized controlled trial data are required to assess whether the addition of progesterone to transgender women’s GAHT causes positive areal bone mineral density (BMD) and bone strength changes. The quoted Wiepjes et al. (6) 2018 paper suffers from limitations consistent with its retrospective nature (only 33% had any follow-up) but does suggest that the lower BMD may precede GAHT. They would have learned much more by inquiring about the development of fractures in their many participants. A more thoughtful and likely accurate approach to evaluation of BMD in transgender people is to use the strategy of Hammond et al. (7): to analyze and report the BMD data using the age-specific reference ranges for both the natal sex and the chosen gender. To be clear, I have written nothing in my Perspective article about “cardiovascular benefits with progestins.” I only discussed progesterone. Conflating progesterone and progestins is not accurate nor scientific—progesterone is a unique and foundational steroid near the top of the steroid cascade, as well as an ovarian hormone. The progestins, by contrast, are varied, created from different steroid species and without even a class effect. The term “progestins” only applies to drugs that mimic the endometrial and pregnancy-preserving effects of progesterone. Progestins have numerous (largely unexplored) effects on myriad other physiological systems, and many of these differ from those of progesterone. Evidence suggests that progesterone, as well as estradiol, is needed to preserve ciswomen’s “cardiovascular protection” compared with men (8). That is supported by data from a 3-month, placebo-controlled randomized controlled trial in which there were no negative cardiovascular markers or anthropometry effects of oral micronized progesterone (300 mg at bedtime) in healthy postmenopausal women (9). As far as I could find, there are no endothelial function data on progesterone in cisgender men or transgender women. This letter raised the issue of my Perspective being “premature and potentially dangerous.” I agree that it may seem early in the thought processes of some providers of transgender health care. However, I challenge the authors to show evidence that the addition of progesterone to transgender women’s GAHT is harmful. Progesterone would be beneficial if it allowed even a 25% reduction in the usually double physiological estradiol doses (10). Meanwhile, I also look forward to the systematic review on progesterone promised by the World Professional Association for Transgender Health. What I do know is that transgender women are asking for progesterone therapy. This is a physiologically sensible intervention that is desired by our patients. As a goal of transgender women’s GAHT is to “maintain hormone levels within the normal range for individuals of the person’s chosen gender” (11), as the Endocrine Society guidelines advocate, then progesterone therapy becomes necessary. It is up to those of us who care about transgender health to do the science that proves or disproves that transgender women deserve the benefits we are now learning that progesterone is providing for ciswomen. bone mineral density gender-affirming hormone therapy

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.043
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0430.035
Insufficient payload (model declined to judge)0.0100.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.205
GPT teacher head0.467
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractno

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