Coxsackie Infection and Births of Future Diabetic Children: Year, Seasonality and Secularity
Bibliographic record
Abstract
BACKGROUND: Environmental factors including Coxsackie virus infections are considered as one of the etiopathogenetic mechanisms in childhood insulin dependent diabetes mellitus (IDDM). HYPOTHESIS: This relationship should be reflected not only in similar seasonal and secular periodicities of Coxsackie epidemics and IDDM incidence but also in the cycling of births of future diabetic children. SUBJECTS: Seven hundred and seven healthy Slovak children randomly selected in 1985-98 were investigated for the presence of actual Coxsackie infection. The months of birth in 1970-93 of 1779 Slovak children with later IDDM were registered. AntiCoxsackie positivity was determined in 1978-91 at IDDM onset in 336 children. METHODS: AntiCoxsackie positivity was assessed by IgM antibodies and virus neutralization test. Time series data were processed by cosinor regression enabling the definition of statistical significance of trends and of cycles with tested period lengths. RESULTS: Marked autumnal peaks were found for Coxsackie infections. For births of future diabetics, both autumn and spring peaks were encountered. Moreover, seven-year cycling displayed peaks in 1990 and 1997 for Coxsackie and 1976, 1983 and 1990 for IDDM births. CONCLUSIONS: Connection between Coxsackie viral infections and births of future diabetic children appears plausible also in Slovakia.
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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 | 0.000 |
| 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".