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Record W4403085069 · doi:10.14309/ajg.0000000000003092

Diagnosis and Management of Inflammatory Bowel Disease-Associated Spondyloarthritis

2024· review· en· W4403085069 on OpenAlexaff
Katherine Falloon, Michael C. Forney, M. Elaine Husni, Brian G. Feagan, Florian Rieder

Bibliographic record

VenueThe American Journal of Gastroenterology · 2024
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseRheumatologyAnkylosing spondylitisInternal medicineReferralDiseasePsoriatic arthritisIntensive care medicineFamily medicine

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD)-associated spondyloarthritis (SpA) is common but remains poorly understood. In this review article, we aimed to provide guidance regarding the diagnosis and management of this condition. For diagnosis of IBD-associated peripheral SpA (IBD-pSpA), we recommend collaboration with rheumatology for incorporation of clinical symptoms, physical examination findings, joint imaging if applicable, and available diagnostic criteria. For the management of IBD-pSpA, we first recommend assessment and treatment of underlying luminal IBD disease activity. We provide guidance regarding positioning of advanced therapies for IBD in patients with IBD-pSpA based on the limited available literature. For diagnosis of IBD-associated axial SpA, we recommend rheumatology referral to make the diagnosis based on incorporation of symptoms, laboratory data, imaging findings (sacroiliitis), and available diagnostic criteria. For the management of axial SpA, we recommend comanagement with rheumatology and use of either antitumor necrosis factor agents or Janus kinase inhibitors, when applicable.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.300
Teacher spread0.282 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueThe American Journal of GastroenterologySame topicSpondyloarthritis Studies and TreatmentsFrench-language works237,207