Birth Outcomes In Newborns Fathered By Men With Multiple Sclerosis Exposed To Disease-Modifying Drugs (P4.155)
Bibliographic record
Abstract
OBJECTIVE: To determine the proportion of newborns fathered by men with multiple sclerosis (MS) who are exposed to a disease-modifying drug (DMD) prior to conception and to investigate the association between DMD exposure with birth weight and gestational age in newborns of exposed and unexposed MS fathers. BACKGROUND: Paternal medication use could alter the genetic material, motility or morphology of sperm to cause adverse birth outcomes. While considerable research has been directed towards the effects of maternal DMD exposure during pregnancy, birth outcomes following paternal DMD use are understudied. DESIGN/METHODS: Population-based databases in British Columbia (BC), Canada, (BCMS database, Vital Statistics Birth Registry, Population Data BC demographic data, BC PharmaNet and the BC Perinatal Database Registry) were linked in this retrospective cohort study (1996 to 2010). Multivariate linear regression models were used to examine the association of interferon-beta (IFNβ) or glatiramer acetate (GA) exposure (defined as within 64 days (i.e. duration of spermatogenesis) prior to or at conception) with birth weight and gestational age of newborns. RESULTS: Of 195 births fathered by men with relapsing-onset MS, 80 (41%) belonged to fathers treated with a DMD before their child was born, with 53/195 (27%) exposed within 64 days before or at conception. There were no stillbirths to MS fathers. Of the 53 exposed births, 37 were exposed to IFNβ and 16 to GA. Mean birth weight of IFNβ-exposed and GA-exposed newborns was similar to that of unexposed newborns (adjusted difference: -107 grams for both, p>0.3). IFNβ-exposed and GA-exposed newborns also had comparable mean gestational ages relative to unexposed newborns (adjusted difference: -0.5 and -0.3 weeks, respectively, p>0.2). CONCLUSIONS: Approximately one in three would-be fathers with MS were exposed to IFNβ or GA around the time of conception, but there was no compelling evidence to suggest that exposure was associated with altered birth weight or gestational age. Study Supported by: Canadian Institutes of Health Research (Operating Grant MOP-106607; PI: H Tremlett)
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".