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Aminoglycoside dosing in diabetes

2000· review· en· W2066037317 on OpenAlexaff
Axworthy, David M. Gardner

Bibliographic record

VenueJournal of Clinical Pharmacy and Therapeutics · 2000
Typereview
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDosingMedicineDiabetes mellitusAminoglycosideToxicityRenal functionPopulationIntensive care medicinePharmacologyInternal medicineAntibioticsEndocrinologyBiology

Abstract

fetched live from OpenAlex

Studies have evaluated the comparative efficacy, toxicity and costs associated with extended-interval vs. standard multiple daily dosing of aminoglycosides. In this case, an elderly man with diabetes and good renal function at baseline was switched from standard to extended-interval dosing. During the course of therapy there was evidence of decreased renal function. Pertinent literature was searched for, uncovered and critically evaluated to determine if and what evidence supports using extended dosing of aminoglycosides in this population. No data were found specifically evaluating the different dosing strategies in diabetic patients. However, there were many trials and several meta-analysis located that compared the two dosing strategies, most suggesting at least a cost advantage and possibly less toxicity with extended-interval dosing. Further information is needed to determine whether there is a differential risk for toxicity between these dosing regimens in patient with diabetes.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.240
GPT teacher head0.524
Teacher spread0.285 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

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