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Acetylsalicylic acid and other salicylates in relation to Stevens–Johnson syndrome and toxic epidermal necrolysis

2001· article· en· W2005442758 on OpenAlexaff
David W. Kaufman, Judith P. Kelly

Bibliographic record

VenueBritish Journal of Clinical Pharmacology · 2001
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsToxic epidermal necrolysisConfidence intervalNonsteroidalMedicineDermatologyRelative riskInternal medicinePharmacology

Abstract

fetched live from OpenAlex

AIMS: Various nonsteroidal anti-inflammatory drugs are known to increase the risk of Stevens-Johnson syndrome and toxic epidermal necrolysis. The relationship between salicylate treatment and these conditions is not known. METHODS: A case-control study was conducted in four countries in Europe from 1989 to 1995. RESULTS: Among 373 cases and 1720 controls, the multivariate relative risk estimate for any salicylate use in the previous week was 1.3 (95% confidence interval, 0.8-2.2); no statistically significant elevations were observed for single ingredient preparations or for salicylate-containing combination products. CONCLUSIONS: Acetylsalicylic acid and other salicylates are not associated with a measurable increase in the risk of these rare but severe reactions.

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)0.001
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 score0.686
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.413
Teacher spread0.353 · 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

Citations9
Published2001
Admission routes1
Has abstractyes

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