MétaCan
Menu
Back to cohort

Clinical Toxicologic Implications of Ethylene Glycol and Glycolic Acid Poisoning

2002· review· en· W2325566343 on OpenAlexaff
Albert D. Fraser

Bibliographic record

VenueTherapeutic Drug Monitoring · 2002
Typereview
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsDalhousie UniversityQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsEthylene glycol poisoningEthylene glycolGlycolic acidMetaboliteChemistryMedicineOrganic chemistryBiochemistryBiology

Abstract

fetched live from OpenAlex

Metabolic pathways have been elucidated for various chemical and solvent exposures in humans. Clinical laboratory analyses in most chemical and solvent exposures are directed toward identification and quantitation of unchanged substance in serum or whole blood. For example, most laboratories routinely screen for unchanged ethylene glycol in suspected poisonings and quantitate ethylene glycol in positive cases even though toxicity from ethylene glycol exposure (including central nervous system depression, acute renal failure, and elevated anion gap metabolic acidosis) is primarily caused by one metabolite-glycolic acid. One objective of this manuscript is to describe the authors' clinical experience with glycolic acid analysis in ethylene glycol human poisonings. Recommended clinical laboratory tests for small hospitals and toxicology reference laboratories are presented to rule out or confirm ethylene glycol exposure. Another concern with laboratory support in ethylene glycol poisoning is correct identification of ethylene glycol because analysis of this substance is often problematic. In one case laboratories incorrectly identified an organic acid from an inherited metabolic disease as ethylene glycol, and in another case the intentional ethylene glycol poisoning of an infant was determined to be the results of an endogenous organic acid. The most robust analytical methods for determining ethylene glycol and glycolic acid are chromatographic methods. Ideally, screening methods for ethylene glycol should be confirmed by another method based on a different principle of analysis or include simultaneous metabolite analysis (glycolic acid). In centers where several ethylene glycol cases present annually, toxicology laboratories supporting these centers should incorporate glycolic acid monitoring in their ethylene glycol screening programs and include analysis of both ethylene glycol and glycolic acid during treatment (hemodialysis) in all confirmed poisonings. Measurement of glycolic acid provides important diagnostic and prognostic information that one cannot correlate with the amount of ethylene glycol in serum or whole blood.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.179
GPT teacher head0.448
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations53
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueTherapeutic Drug MonitoringSame topicPoisoning and overdose treatmentsFrench-language works237,207