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Clinical Toxicologic Implications of Ethylene Glycol and Glycolic Acid Poisoning

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

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

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