RE: "RISK OF CHILDHOOD LEUKEMIA ASSOCIATED WITH VACCINATION, INFECTION, AND MEDICATION USE IN CHILDHOOD: THE CROSS-CANADA CHILDHOOD LEUKEMIA STUDY"
Bibliographic record
Abstract
The Journal article by MacArthur et al. (1) reports interesting associations regarding childhood leukemia. We are concerned, however, about the association between childhood leukemia and vitamin intake. The authors do not define what constitutes a vitamin supplement in this study, and definitions for such supplements can be variable (2). It is unclear from their article whether a distinction is made between true vitamins and what parents may report as being vitamins, such as dietary supplements. Such a distinction is important. Maternal vitamin intake during pregnancy has been associated with a decreased risk of childhood leukemia (3), and vitamin D intake in children is thought to potentially have anticancer benefits (4). The authors reported that breastfeeding for more than 6 months confers a protective benefit, yet any infant exclusively breastfed should be receiving vitamin D supplementation to prevent rickets, as recommended by both the American Academy of Pediatrics (5) and the Canadian Pediatric Society (6). A concern about vitamin intake being associated with leukemia could prompt parents to stop giving, or clinicians to stop recommending, vitamin D supplementation for exclusively breastfed infants. Nutritional rickets from vitamin D deficiency continues to be a problem in both Canada and the United States (7, 8), and we hope that the current article does not result in an increase in this preventable disorder. Dietary supplementation, including vitamins, in young children has been found to be common (9), and although we accept that some supplements may confer a risk of leukemia, we wonder whether the authors could clarify their findings regarding the vitamins for which an association was found. We would also be interested to know whether the odds ratios for leukemia among breastfeed infants differed between those who were and those who were not taking vitamins. Conflict of interest: none declared.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.024 | 0.021 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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".