Serum oestradiol levels and risk of adverse cardiovascular events associated with gender-affirming oestrogen therapy: a protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: The use of gender-affirming oestrogen therapy (GAOT) is an integral part of the gender-affirming transition process for transgender women (assigned male at birth who identify as women) and gender-diverse individuals. However, its use may present significant cardiovascular implications, which may be influenced by systemic oestradiol levels. Therefore, we aim to establish the association between serum oestradiol levels and incidence of adverse cardiovascular events in individuals using GAOT. METHODS AND ANALYSIS: We will conduct a systematic review addressing the association between serum oestradiol levels and risk of adverse cardiovascular events in individuals using GAOT. Our primary outcome is the incidence of adverse cardiovascular events, our secondary outcome is the incidence of cardiovascular-related mortality and our tertiary outcome is cardiovascular-related risk factors. Electronic databases (Cochrane Central Register of Controlled Trials, Embase, MEDLINE and Web of Science) will be searched from inception until September 2022. Two investigators will independently complete screening to determine appropriateness of inclusion. Extracted data will include information on serum sex hormone levels (oestradiol and testosterone), participants, GAOT (route of administration, formulations, dosages and duration of exposure), incidence of cardiovascular outcomes, study quality and risk of bias. Inter-reviewer reliability will be calculated at both phases. Data will be presented both descriptively and meta-analysed using a random effects model, if appropriate. Heterogeneity will be explored and meta-regressed if noted. ETHICS AND DISSEMINATION: Ethics approval is not needed. We will disseminate findings through international conferences, distributions to transgender and gender-diverse support organisations, decision-makers and key stakeholders. The final systematic review will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: CRD42021247717.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.062 | 0.096 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.024 | 0.033 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.004 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".