Unproven ingestion: An unrecognized bias in toxicological case series
Bibliographic record
Abstract
BACKGROUND: Case series of ingestion in preschool children may include patients without significant exposure if the substance is not measured. METHODS: In order to evaluate the unproven ingestion bias, we conducted, between January 2000 and June 2004, a retrospective analysis of a poison control center-based series of children <6 years old with a history of toxic methanol or ethylene glycol ingestion. RESULTS: Over the 54 month period, 115 children were referred to obtain a level. Of these, 102 children, aged 25 +/- 10 months, actually had a level analyzed. Only 21 patients had positive levels measured a median of 90 minutes post-ingestion. CONCLUSION: Our findings suggest that a significant fraction of purported cases were not confirmed. When a study aims at determining the toxicity of the substance, measurements of the xenobiotic should be required in any case series involving preschool aged children in order to decrease the unproven ingestion bias.
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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 | 0.004 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".