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Record W3203965558 · doi:10.1186/s12876-021-01936-w

Severe drug-associated colitis with Crohn’s features in setting of ixekizumab therapy for chronic plaque psoriasis

2021· article· en· W3203965558 on OpenAlexafffund
Xin Mu, John Fardy, Stephanie L. Reid, Julia Trahey

Bibliographic record

VenueBMC Gastroenterology · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsHealth Sciences CentreMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsIxekizumabMedicinePsoriasisPlaque psoriasisInflammatory bowel diseaseCrohn's diseaseUstekinumabInternal medicineDiseaseDermatologyImmunologyAdalimumabPsoriatic arthritisSecukinumab

Abstract

fetched live from OpenAlex

BACKGROUND: Ixekizumab is monoclonal antibody targeted against interleukin-17 (IL-17) and has been approved for use in chronic plaque psoriasis. Despite its efficacy in treating psoriasis, concerns have been raised regarding Ixekizumab's potential to induce and exacerbate inflammatory bowel disease (IBD). CASE PRESENTATION: Here we report the new onset of severe drug-associated colitis with surgical complications in a 45-year-old male patient who was receiving Ixekizumab therapy for chronic plaque psoriasis. Review of the patient's colonic pathology demonstrated acute inflammatory changes with features of Crohn's disease. The patient remained disease-free 9-months following his hospitalization and cessation of Ixekizumab. CONCLUSIONS: This case raises suspicion for an association between Ixekizumab and IBD and calls on clinicians to have heightened awareness of potential risks before prescribing anti-IL-17 agents.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.227
Teacher spread0.217 · 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

Citations11
Published2021
Admission routes2
Has abstractyes

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