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Record W4412799030 · doi:10.1111/cod.70003

Drug Provocation Testing in Allergological Work‐Up of <scp>DRESS</scp> : A Retrospective Real‐Life Experience From a Specialist Centre

2025· article· en· W4412799030 on OpenAlexaff
H. Assier, Thomas Bettuzzi, Elio Kechichian, Reine Merhy, Margaux Fleck, A. Weill, O. Gaudin, Gwendeline Gener, P. Wolkenstein

Bibliographic record

VenueContact Dermatitis · 2025
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineProvocation testDrugDermatologyRetrospective cohort studyAllergySurgeryPharmacologyImmunologyAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: In drug reaction with eosinophilia and systemic symptoms (DRESS), cutaneous tests help to identify the responsible drug. However, uncertainty may persist and drug provocation tests (DPTs) could enable contraindications for essential drugs to be avoided. OBJECTIVES: To report the experience of DPTs in a series of DRESS patients managed in a referral centre for severe drug reactions. METHODS: We performed a single-centre retrospective study (October 2015-October 2021) of patients referred for an allergological work-up after DRESS. RESULTS: Seventy-five patients were included (49 females, mean age 55 years, 212 suspected drugs). Cutaneous tests, realised in all patients, were positive in 38, and DPTs were performed in 39 patients (65 drugs: 41 suspected and 24 alternative drugs, all with negative cutaneous tests). DPTs were performed regardless of DRESS severity or RegiSCAR score, at full dose (FD) for 40 drugs and graduated dose (from 1/100 FD) for 25 drugs. The objective was always to avoid contra-indications or to propose alternative drugs. Mild reactions occurred following challenge with 13 drugs (all suspected drugs), of which 6 could be continued. DPTs were more often positive when more drugs were suspected or reintroduced, but less often when a high-notoriety drug was suspected and avoided. CONCLUSIONS: DPTs can be considered in DRESS by experienced teams to avoid unnecessary contraindications for essential drugs.

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)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.083
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
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 head0.025
GPT teacher head0.282
Teacher spread0.257 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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