Multiple Sclerosis and Pregnancy: A Comparison Study
Bibliographic record
Abstract
OBJECTIVE: To determine whether different health care systems may affect reproductive decision-making among patients with Multiple Sclerosis (MS), we describe the reproductive practices and attitudes of Canadian MS patients ascertained from the multidisciplinary MS Clinic at Hôpital Notre-Dame in Montreal, Quebec (NDMSC), in comparison to those of matched American self-registrants from the database of the North American Research Committee on Multiple Sclerosis (NARCOMS). METHODS: A total of 665 self-administered questionnaires on reproductive practices were sent out to eligible attendees attending the NDMSC. The short questionnaires were completed and returned to the authors in an anonymous format for analysis. RESULTS: A total of 459 completed questionnaires were returned. The majority of NDMSC respondents (72.5%) and NARCOMS subset (75.2% females), did not encounter a pregnancy following diagnosis of MS. The most common MS-related reason for this decision was "symptoms interfering with parenting" (75.0% for the NDMSC, 72.6% for the NARCOMS). The most commonly reported non-MS-related reason was "a completed family" by the time of diagnosis in both the NDMSC and NARCOMS subset (58.0%, 40.4%, respectively). Concerns about financial issues both related and unrelated to MS were also commonly reported by males and females in both cohorts but significantly more so among the NARCOMS participants. CONCLUSION: These results indicate that reproductive decisions of MS patients are highly affected by their illness and its associated disability, regardless of the available health care program. Health care providers should discuss their patients' reproductive needs and perceptions to help them make more informed decisions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".