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Record W2163947738 · doi:10.1016/j.crohns.2011.03.014

Stevens–Johnson syndrome with sulfasalazine treatment: Report of two cases

2011· article· en· W2163947738 on OpenAlexaff
Lydjie Tremblay, Guillaume Pineton de Chambrun, Bénédicte De Vroey, C. Lavogiez, Jean‐Frédéric Colombel, Antoine Cortot

Bibliographic record

VenueJournal of Crohn s and Colitis · 2011
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsSulfasalazineMedicineToxic epidermal necrolysisMucocutaneous zoneDermatologySore throatUlcerative colitisPapulopustularSurgeryDiseaseInternal medicine

Abstract

fetched live from OpenAlex

We report two cases of Stevens-Johnson syndrome (SJS) associated with the use of sulfasalazine in two ulcerative colitis patients previously tolerant to mesalamine. SJS and toxic epidermal necrolysis (TEN) are very rare adverse cutaneous reactions that can be associated with the use of sulfasalazine. The most severe cases can result in death, and for the others, permanent skin, mucosal or ocular sequelae, which can impair the quality of life in our young IBD patients. Clinicians and patients need to be aware of the signs and symptoms that often precede the appearance of the mucocutaneous lesions in a SJS or TEN, such as fever, influenza-like symptoms, sore throat or burning eyes. For patients with SJS or TEN, immediate withdrawal of the offending medication should be done when blisters or erosions appear in the course of a drug eruption, as this may improve the prognosis.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.002
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0090.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.039
GPT teacher head0.289
Teacher spread0.251 · 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 designCase report
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

Citations26
Published2011
Admission routes1
Has abstractyes

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