Tobacco Smoke Exposure and Pediatric Multiple Sclerosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Multiple sclerosis (MS) is a chronic inflammatory disease which affects approximately 2.5 million people worldwide, including approximately 7,000 children. The etiology of MS is unclear, although researchers generally agree that both environmental and genetic factors are involved. It is also unclear why some patients may only have one demyelinating event (acquired demyelinating syndrome, or ADS) and others develop chronic demyelinating disease (MS). Recent evidence suggests an association between smoking and multiple sclerosis (MS) in adults. A question remains if there is a similar association between secondhand tobacco smoke exposure and MS in children. The purpose of this study is to explore the association between tobacco smoke exposure (TSE) and MS risk in a cohort of children with demyelinating disease. Methods: Data was obtained from the Canadian National Demyelinating Disease Study. This study included two disease groups, which are distinguished by a single (ADS) versus chronic demyelinating attacks (MS). Parents’ self-report of their child’s exposure to smoke in the home, as well as biomarker verification by serum cotinine, classified a child as exposed or not exposed. Logistic regression models were created to determine the association between TSE and the odds of MS compared to healthy controls, the odds of ADS compared to healthy controls, and the odds of MS compared to patients with ADS. In order to determine factors and exposures which distinguish MS from ADS, an assessment of interaction was performed to examine the relationship between TSE and MS risk genes, TSE and serum vitamin D levels, and TSE and prior Epstein Barr Virus exposure on the odds for developing MS compared to ADS patients.. Finally, serum cotinine levels were compared to neurologic functional scores in order to assess if a dose response mechanism exists creating impaired function for pediatric MS. Results: TSE was not significantly associated with increased odds for MS compared to healthy controls (OR= 1.84; 95%CI 0.86, 3.95) but was significantly associated with higher odds of monophasic ADS compared to healthy controls (OR=2.24; 95%CI 1.08, 4.63). TSE alone was not associated with increased odds for MS compared to ADS; however, the presence of both TSE and HLA alleles increased the odds for MS by 3.2 (95%CI 1.04, 9.79) when compared to ADS patients. An additive effect was also found between TSE and lower vitamin D, which together increased the odds for MS compared to patients with monophasic ADS (OR=2.89; 95%CI 1.21, 7.46). EBV was individually associated with MS compared to ADS (OR=4.12; 95%CI 1.62, 10.9) and odds for MS appeared to increase further with the addition of TSE (OR=5.13; 95%CI 1.79, 14.9), however sample size limited interpretation of the interaction analysis. TSE had minimal impact on neurological functional score measures, although long-term follow up with regard to exposure could not be properly assessed. Conclusion: Exposure to tobacco smoke through secondhand sources was not related to MS but TSE may increase the odds of monophasic demyelinating disease occurrence (ADS). The finding of additive effects between TSE and other disease modifying factors (HLA, vitamin D) may provide valuable insight into why some children have only one demyelinating attack (monophasic ADS) while others have multiple attacks and are diagnosed with MS. These effects should be further explored in a larger population of pediatric patients and compared to healthy children. Intervention methods should be tailored to help explain to parents the benefits of reducing their child’s exposures to environmental tobacco smoke.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.010 |
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 it