Family planning and contraception in people with multiple sclerosis: perspectives for obstetricians, gynaecologists, and other health care professionals involved in reproductive planning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Multiple sclerosis (MS) is often diagnosed in people of reproductive age. However, family planning counselling is not always integrated within MS care. Decisions on family planning can be further complicated by potential side effects associated with several disease-modifying therapies. While neurologists may lack training in contraceptive use and family planning counselling, obstetricians and gynaecologists (OB-GYNs) and other health care professionals involved in reproductive life planning (RHCPs) may lack detailed knowledge and experience around the use of contemporary MS treatments. MATERIAL AND METHODS: Through a modified Delphi consensus programme, a multidisciplinary steering committee of 13 international experts developed practical clinical recommendations on contraceptive use and family planning for people with MS (PwMS). This article offers insights to help OB-GYNs and RHCPs implement these recommendations, focusing on contraceptive decision-making and MS medications. RESULTS: The perspectives discussed emphasise providing education on MS to OB-GYNs and other RHCPs, enabling informed counselling for PwMS and their partners regarding contraception and family planning. Close collaboration among the multidisciplinary team, including neurologists, is crucial in providing reproductive care for PwMS. CONCLUSIONS: The detailed perspectives provided aim to enable OB-GYNs and other RHCPs to provide informed counselling for PwMS and their partners regarding contraception and family planning.
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.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it