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Record W2136125653 · doi:10.1086/320752

Introduction of a Practice Guideline for Penicillin Skin Testing Improves the Appropriateness of Antibiotic Therapy

2001· article· en· W2136125653 on OpenAlexaff
David M. Forrest, R. Robert Schellenberg, Vincent Thien, Serena King, Aslam H. Anis, Peter Dodek

Bibliographic record

VenueClinical Infectious Diseases · 2001
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversity of British ColumbiaSt. Paul's Hospital
Fundersnot available
KeywordsMedicineGuidelinePenicillinAntibioticsIntensive care medicinePathologyMicrobiology

Abstract

fetched live from OpenAlex

We hypothesized that the introduction of a practice guideline for penicillin skin testing would increase the appropriateness of skin testing and reduce antibiotic costs for patients with a history of penicillin allergy who have infections caused by penicillin-susceptible pathogens. We measured the appropriateness of skin testing and daily antibiotic costs before and after the introduction of a guideline for penicillin skin testing. For patients who had negative results of skin testing and were subsequently treated with a penicillin instead of an alternative antibiotic, we calculated the difference between the actual costs and the projected costs of continuing alternative antibiotics without skin testing. After the guideline was introduced, appropriateness of skin testing increased from 17% to 64%, but daily antibiotic costs did not change. For patients who had negative results of skin testing and who were subsequently treated with a penicillin, there was no difference between actual costs and the projected costs if they had not been skin tested. We conclude that introduction of a guideline for penicillin skin testing increases the percentage of eligible patients who have a skin test, and it does so without increasing costs.

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 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)0.001
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.022
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 head0.060
GPT teacher head0.400
Teacher spread0.341 · 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 teacher head, not a consensus.

Study designOther design
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

Citations53
Published2001
Admission routes1
Has abstractyes

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