Priority setting: women’s health topics in multiple sclerosis
Bibliographic record
Abstract
Background: A scoping review found that most studies on women's health in multiple sclerosis (MS) focused on pregnancy, fetal/neonatal outcomes and sexual dysfunction. Few studies addressed menopause, contraception, gynecologic cancers/cancer screening. However, the perceived relative importance of these knowledge gaps to people living with MS and other partners is unknown. We engaged a range of partners, including people living with MS, health care providers, researchers, and patient advocacy groups, to set priorities for future research in women's health in MS. Methods: We employed a three-step global engagement process. First, we identified which broad research topics relevant to women's health in MS were of highest priority using two surveys. Second, we developed specific research questions within these topics using focus groups. Finally, we prioritized the research questions with a third survey. Results: = 3,836 North American Research Committee on Multiple Sclerosis survey, mean (SD) age 64.8 (9.6), United States]. Menopause, sexual dysfunction, pregnancy, gynecologic cancer/cancer screening, hormones and parenthood were identified as the most important topics. Focus groups generated 80 potential research questions related to these topics. In the final survey 712 individuals prioritized these questions. The highest priority questions in each research topic were: (i) How do perimenopause and menopause affect disease activity, course, response to disease-modifying treatment and quality of life in MS; (ii) What are the most effective strategies for managing issues around sexual intimacy, including related to low sexual desire, changes in physical function, and MS symptoms; (iii) Are there long-term effects of disease-modifying therapies on the children of persons with MS; (iv) What are the short and long-term effects of disease-modifying drugs on gynecologic cancer risk, particularly for high efficacy disease-modifying drugs and hematopoietic stem cell transplantation; (v) Are there hormone related treatments that can stabilize fluctuations in MS symptoms; and (vi) How does MS fatigue impact parenting strategies. Conclusion: Priorities for research relating to women's health issues for persons with MS have been delineated using a collaborative process with key partners. Alignment of future research with these priorities should be monitored.
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.
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 | 0.060 | 0.098 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".