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Record W2102692825 · doi:10.1080/15563650701197096

Unproven ingestion: An unrecognized bias in toxicological case series

2007· article· en· W2102692825 on OpenAlexaff
Arielle Lévy, Benoît Bailey, Anne Letarte, Claire Dupuis, Michel Lefebvre

Bibliographic record

VenueClinical Toxicology · 2007
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsInstitut National de Santé Publique du QuébecCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsIngestionMedicinePoison control centerPediatricsPoison controlPhysiologyInjury preventionInternal medicineEmergency medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.054
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.247
GPT teacher head0.474
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainMethods
GenreEmpirical

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".

Quick stats

Citations22
Published2007
Admission routes1
Has abstractyes

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