Term pregnancies and the clinical characteristics of multiple sclerosis: a population based study
Bibliographic record
Abstract
OBJECTIVE: Pregnancy has a well documented effect on relapse risk in multiple sclerosis (MS). Prospective studies have reported a significant decline by two-thirds in the rate of relapses during the third trimester of pregnancy and a significant increase by two-thirds during the first 3 months postpartum. However, it is unclear as to whether there are any long term effects on disability. METHODS: Data were collated from clinical records and family histories systematically collected from the University of British Columbia MS Clinic. RESULTS: Clinical and term pregnancy data were available from 2105 female MS patients. MS patients having children after MS onset took the longest time to reach an Expanded Disability Status Scale (EDSS) score of 6 (mean 22.9 years) and patients having children before MS onset were the quickest (mean 13.2 years). However, these effects were not related to term pregnancy and were fully accounted for by age of MS onset. CONCLUSIONS: Pregnancy had no effect on the time to reach an EDSS score 6. As MS predominantly affects women of childbearing age, women with MS can be reassured that term pregnancies do not appear to have any long term effects on disability.
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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 | 0.006 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".