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Record W2398137068 · doi:10.1159/000457331

Chloramphenicol Pharmacokinetics in the Newborn

2017· article· en· W2398137068 on OpenAlexaff
Percy Rajchgot, Charles G. Prober, S J Soldin, Cheryl L. Golas, Frances Good, Louise Harding, Sorcha MacLeod

Bibliographic record

VenueDevelopmental Pharmacology and Therapeutics · 2017
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsChloramphenicolPharmacokineticsGestational ageGestationSerum concentrationChemistryAntibioticsMedicineInternal medicineEndocrinologyPharmacologyBiologyPregnancyBiochemistry

Abstract

fetched live from OpenAlex

We studied pharmacokinetics of chloramphenicol in 9 neonates having a mean gestational age of 31.2 +/- 1.9 weeks (mean +/- SEM). The studied dose was the final dose of treatment in 8 of these and the first dose in 2 of these. 1 neonate was studied twice. Concentrations of chloramphenicol and its 3-monosuccinate and 1-monosuccinate esters were measured in serum by high performance liquid chromatography. Apparent total body clearance of chloramphenicol correlated with postnatal age (r = 0.81, p less than 0.01). Mean apparent clearance was 1.1 ml X min-1 X kg-1. Serum concentrations of succinate esters were below assay sensitivity after 6 h postdose. Factors leading to excessive chloramphenicol concentrations (greater than 25.0 mg/l) were evaluated in another 44 newborns. Instability of the patient's clinical condition was an important cause of excessive serum concentrations during ongoing therapy.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.357
Teacher spread0.313 · 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 designObservational
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

Citations15
Published2017
Admission routes1
Has abstractyes

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