Is chronic poisoning with acetaminophen in children a frequent occurrence in Toronto?
Bibliographic record
Abstract
BACKGROUND: Acetaminophen is a common cause of poisoning in children. Recent American studies suggest that acetaminophen poisonings pose serious risks in children, particularly in the case of chronic poisoning caused by therapeutic error. OBJECTIVE: To evaluate whether chronic acetaminophen poisoning in children is a frequent occurrence in a large, Canadian, urban population. PATIENTS AND METHODS: Retrospective study. Charts of all patients admitted to The Hospital for Sick Children, Toronto, Ontario from January 1, 1990 to June 31, 1996 with an acetaminophen overdose were reviewed. RESULTS: A total of 110 patients were admitted within the study period; only four of whom were preschool children (younger than five years of age). Among the preschool children, three had an acute overdose and one had possible chronic poisoning by therapeutic error. All preschool children were treated with N-acetylcysteine; one developed hepatotoxicity (aspartate aminotransferase or alanine aminotransferase greater than 1000 U/L) after presenting 24 h after acute ingestion. Of the remaining patients, all were adolescents; 102 had acute intentional overdose and four had staggered intentional overdoses. Fifty-three adolescents were treated with N-acetyl cysteine. Hepatotoxicity was present in 13 of 63 adolescents (21%). No patients required liver transplantation or died. CONCLUSIONS: Contrary to American experience, chronic acetaminophen poisoning, including therapeutic error in children in Toronto, is a rare occurrence--most cases of acetaminophen poisonings are acute intentional ingestion in adolescents.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".