Association between Bacillus Calmette–Guérin vaccination and lymphoma: a population‐based birth cohort study
Bibliographic record
Abstract
BACKGROUND: Most risk factors for lymphoma identified so far relate to immunosuppression, but its aetiology remains unclear. OBJECTIVES: We investigated whether Bacillus Calmette-Guérin (BCG) vaccination is associated with lymphoma, overall and separately for Hodgkin's lymphoma (HL) and non-Hodgkin's lymphoma (NHL). METHODS: A cohort of 400 611 subjects born in the province of Québec, Canada, between 1970 and 1974 was used. Information on BCG vaccination was extracted from the Quebec BCG Vaccination Registry. Lymphomas cases were individuals who had ≥2 health encounters, medical visits or hospitalizations, for lymphoma within 2 months or who were identified through the Quebec Tumor Registry. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95% confidence interval (CI), adjusting for potential confounders. RESULTS: A total of 178 335 (46.0%) subjects were BCG-vaccinated, and 1478 (0.38%) cases of lymphomas were ascertained. Amongst them, 922 were identified as NHL and 421 as HL. After adjustment, no association was observed between BCG vaccination and either lymphoma (any type) (HR = 1.03, 95% CI: 0.96-1.11) or NHL (HR = 0.99, 95% CI: 0.86-1.13). For HL, nonproportional hazards were observed. Before the age of 18, the risk of HL was elevated amongst vaccinated individuals (HR = 2.26, 95% CI: 1.39-3.69). However after 18 years of age, no association was found (HR = 0.93, 95% CI: 0.75-1.15). CONCLUSION: Bacillus Calmette-Guérin vaccination may increase the risk of HL before 18 years of age, but residual confounding cannot entirely be excluded. Given the benefits of BCG vaccination, these results need to be reproduced in other populations before firm conclusions can be drawn.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 teacher head, 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".