MétaCan
Menu
Back to cohort
Record W2041818140 · doi:10.2500/108854100778248269

The Value of Skin Testing for Penicillin Allergy in an Inpatient Population: Analysis of the Subsequent Patient Management

2000· article· en· W2041818140 on OpenAlexaff
Richard Warrington, Kingsley R. Lee, Shawn McPhillips

Bibliographic record

VenueAllergy and Asthma Proceedings · 2000
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsMedicinePenicillinPenicillin allergyAllergyAntibioticsDrug allergyMedical recordAdverse effectPopulationDermatologyPediatricsIntensive care medicineInternal medicineImmunology

Abstract

fetched live from OpenAlex

It was decided to assess the value of skin testing in a group of inpatients with a remote history of penicillin allergy, in terms of whether or not beta-lactams were subsequently given, if any adverse reactions occurred as a result of this therapy, and if labeling of the patient record was changed subsequent to skin testing and/or challenge. All patients seen in consultation with a history of penicillin allergy were assessed. When done, skin tests were performed with the major and minor determinants of penicillin and semisynthetic penicillins. Charts were reviewed after discharge in terms of the antibiotics given during admission, adverse events, and the medical record and hospital database labeling for drug allergy at discharge. Skin testing was carried out in 79% of 67 patients assessed and in all, the tests were negative. Beta-lactam therapy was recommended in 51/53 patients but was given in only 57% of these cases. At discharge, 49% of patients' records still carried the penicillin allergy label, despite negative skin testing and/or successful completion of a course of beta-lactam therapy. So, in approximately half of the patients reviewed, beta-lactams were not given despite negative skin tests and a recommendation to do so, if indicated, and 49% of patients were still inappropriately labeled as being penicillin-allergic on discharge.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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.

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

Citations35
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueAllergy and Asthma ProceedingsSame topicDrug-Induced Adverse ReactionsFrench-language works237,207