Gender-affirming interventions and prognosis in multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: Gender-affirming hormone therapy (GAHT) may increase multiple sclerosis (MS) risk, yet MS disease course among transgender and gender-diverse (TGD) individuals remains understudied. We aimed to evaluate the disease course in TGD individuals with MS (TGD-MS). METHODS: Seventeen TGD-MS were identified. Ten TGD-MS on GAHT (five transgender women with MS (TW-MS) and five transgender men with MS (TM-MS)) were investigated further for MS outcomes of symptomatic (clinical)/asymptomatic (radiological) disease activity and progressive MS (PMS) onset. RESULTS: TW-MS (mean = 54.5 years, range = 35.1-66.3) were older than TM-MS (39.2 years, range = 29.6-47.2) at last follow-up. MS onset was later in TW-MS (31.5 years, range = 25.1-39.1) than in TM-MS (21.0 years, range = 15.0-29.8). Three patients (one TW-MS, two TM-MS) experienced symptomatic activity after GAHT initiation (8-10 months); in two patients (one TW-MS, one TM-MS), this marked symptomatic MS onset. Seven patients (four TW-MS, three TM-MS) had ⩾1 clinical/radiological disease activity. Four had PMS; all were TW-MS. In three, GAHT initiation preceded PMS onset (1-5 years). Disability was higher in TW-MS than in TM-MS. CONCLUSION: MS disease course may be modified by GAHT and may differ between TW-MS and TM-MS, highlighting the need for larger long-term studies to overcome disparities in MS care. Comprehensive GAHT history, timely management, and closer follow-up are warranted in TGD-MS.
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How this classification was reachedexpand
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".