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Record W1887075351 · doi:10.4212/cjhp.v53i1.692

Vancomycin Overdose in a 6-Month-Old Girl

2000· article· en· W1887075351 on OpenAlexaffvenue
Robert M. Balen, Terri Betts, Mary H. H. Ensom

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2000
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsUniversity of British ColumbiaChildren's & Women's Health Centre of British ColumbiaRoyal Columbian Hospital
Fundersnot available
KeywordsVancomycinDosingNephrotoxicityOtotoxicityMedicineIntensive care medicineAntibioticsPharmacokineticsTherapeutic drug monitoringToxicityPharmacologyInternal medicineChemotherapyStaphylococcus aureusBiology

Abstract

fetched live from OpenAlex

INTRODUCTION Vancomycin is a commonly used antibiotic for the treatment of serious gram-positive infections. The use of this agent has increased over the past decade, as organisms have become increasingly resistant to penicillinase-resistant penicillins.1,2 Formal pharmacokinetics-based dosing strategies for infants were first reported in 1980.1 Since then, various dosing regimens for vancomycin have been studied in neonates and infants to take into account their differing kidney maturation status. Vancomycin dosing strategies typically target a “therapeutic range” (peaks of 20 to 40 mg/L, troughs of 5 to 10 mg/L) in an effort to enhance efficacy and minimize the potential toxic effects of the drug. The primary toxicities of concern to clinicians are ototoxicity and nephrotoxicity. However, definitive data that support concentration-efficacy or concentration-toxicity relationships for vancomycin are lacking.3 The following case illustrates the clinical course of an infant who was inadvertently given a 10-fold overdose of vancomycin.

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0060.007
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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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 designCase report
Domainnot available
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

Citations6
Published2000
Admission routes2
Has abstractyes

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