The contribution of secondhand tobacco smoke exposure to pediatric multiple sclerosis risk
Bibliographic record
Abstract
BACKGROUND: Pediatric acquired demyelinating syndromes (ADSs) are monophasic (mono-ADS) in 70% of cases and represent the first attack of multiple sclerosis (MS) in 30%. Secondhand tobacco smoke (SHS) exposure has been implicated as a risk factor for adult-onset MS. Little is known about whether SHS presents an additive risk beyond genetic factors and other environmental exposures associated with pediatric MS. METHODS: This study examined SHS exposure in 216 children with mono-ADS and 81 children with MS. Interactions between SHS, HLA-DRB1*15 alleles, serum 25-hydroxyvitamin D concentrations, and serological evidence of remote Epstein-Barr virus (EBV) exposure were evaluated. RESULTS: SHS exposure was more common in children with MS (37% exposed) compared to mono-ADS (29.5% exposed). Compared to mono-ADS, SHS exposure was not an independent risk factor for MS. When both SHS exposure and HLA-DRB1*15 were present, the odds for MS increased (odds ratio (OR) = 3.7; 95% confidence interval (CI): 1.17-11.9) compared to mono-ADS. Interactions between SHS and vitamin D or EBV did not associate with MS. CONCLUSION: Exposure to SHS is a risk factor for central nervous system (CNS) demyelination. Results suggest that SHS exposure and HLA-DRB1*15 interact to increase risk for MS in children diagnosed with mono-ADS.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".