Multiple sclerosis gender issues: clinical practices of women neurologists
Bibliographic record
Abstract
Substantially more women than men develop multiple sclerosis (MS), but information about the effects of MS and gender-specific issues such as pregnancy, breastfeeding, menstruation and hormone use is lacking. A survey study of neurologists' practice patterns was undertaken to elicit information about gender-specific topics and the use of disease-modifying MS therapies (DMT) including the interferons and glatiramer acetate (GA). A total of 147 surveys were returned. Half of respondents require patients to discontinue DMT during pregnancy, while 35% encourage discontinuation. Among those who allow patients to continue therapy, half consider GA to be safer during pregnancy than the interferons. Nearly 86% of respondents do not use DMT in patients who are breastfeeding. Among the 11% who actually prescribe during breastfeeding, most recommend GA. Neurologists generally leave the decision to breastfeed up to patients, and most refer patients to obstetrician/gynaecologists for counselling about contraception or hormone replacement therapy. The survey results described here provide insight into how neurologists manage reproductive health issues among women with MS.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".