Effect of testosterone formulations on hematocrit in transgender individuals: A systematic review
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Approximately, 11% of trans men experience erythrocytosis diagnosis due to testosterone administration during the first year of the gender-affirming hormone treatment (GAHT). OBJECTIVES: To identify and compare the effect of different testosterone formulations on hematocrit (Hct) and diagnose erythrocytosis in trans men. MATERIALS AND METHODS: This systematic review was based on PRISMA guidelines. We performed an electronic search of PubMed, Embase, and Web of Science in January 2024. The Newcastle-Ottawa scale was used to evaluate the quality of evidence in the observational studies. RESULTS: Of the 152 records retrieved, 18 met the eligibility criteria. Studies observed an increase of up to 5% in Hct in trans men using injectable testosterone undecanoate (TU), and up to 6.9% in trans men using intermediate injectable testosterone esters (TE). Trans men using TE experience a larger increase in serum Hct levels compared to those receiving TU. Erythrocytosis prevalence varies according to the cutoff used (50%, 52%, and 54%). Erythrocytosis was also associated with tobacco use, age at initiation of hormone therapy, body mass index (BMI), and pulmonary conditions. Studies that evaluated the effect of testosterone formulation on erythrocytosis diagnosis present conflicting result. Trans men have a hazard ratio of 7.4 (95% CI: 4.1, 13.4) of developing erythrocytosis compared to cisgender men, using a 52% hematocrit cutoff. CONCLUSION: All testosterone formulations result in an increase in Hct, irrespective of dose, formulation, and administration method. Smoking, higher age at initiation of the testosterone therapy, higher BMI, and a predisposing medical history are associated with this increase in Hct. The difference in effect of TE and TU on Hct is conflicting, although it is important to point out that these data come from observational studies, retrospective, and with a small-sample size.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it