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Record W4406701183 · doi:10.1093/ecco-jcc/jjae190.1163

P0989 Interventions for rheumatological extraintestinal manifestations in Inflammatory Bowel Disease: an umbrella review of systematic reviews

2025· article· en· W4406701183 on OpenAlexaff
O M Nardone, A Alajmi, Yuhong Yuan, Vipul Jairath

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseSystematic reviewPsychological interventionIntensive care medicineDermatologyMEDLINEDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory Bowel Disease (IBD) is associated with extraintestinal manifestations (EIMs), commonly affecting the joints, eyes, skin, and liver, and influences treatment selection. We aimed to synthesize evidence from systematic reviews (SRs) with or without meta-analyses on the efficacy of therapeutic options for rheumatological EIMs to better clarify their positioning in the management of IBD Methods We searched MEDLINE, Embase, and the Cochrane Database of Systematic inception to May 31 2024 to identify SRs addressing therapeutic interventions for rheumatological EIMs. The exclusion criteria ruled out studies that were not SRs, did not focus on patients with IBD patients, or were unrelated to articular interventions. Screening, selection, and data extraction were performed independently by two authors, with a third author consulted when necessary. Reporting was aligned with PRISMA standards. The quality of SRs was assessed using the AMSTAR-2 tool Results We screened 1,436 references and included 10 SRs (2 with meta-analyses) in our analysis. The rheumatological EIMs most commonly reported included arthralgia, peripheral arthropathy, axial arthropathy, spondyloarthritis, and sacroiliitis. Therapeutic interventions included in the SRs were anti-TNF agents, methotrexate (MTX), ustekinumab, (UST) vedolizumab (VDZ), and JAK inhibitors. Treatment efficacy was mainly reported through symptom reduction rates. Quality of the SRs rated from high to very low confidence, with most achieving moderate confidence due to some non-critical weaknesses. In four SRs anti-TNF therapy showed high response rates for both axial (range 59.1% to 61.8% in a SR) and peripheral spondyloarthritis (range 73.4% to 81.2% in a SR). One SR reported MTX as effective for peripheral enteropathic arthritis. Data on VDZ, UST, and JAK inhibitors were more controversial. One SR reported that UST was effective for arthralgia and psoriatic arthritis. A more recent meta-analysis showed that the improvement of pre-existing joint manifestations was greater in UST-treated patients compared to VDZ-treated patients (54% vs 42%). For tofacitinib, no change in peripheral arthritis was reported by two SRs. Four SRs evaluated treatment-induced rheumatological EIMs, revealing heterogeneous results, particularly with VDZ. However, data from a recent SRs suggest similar rates of new-onset rheumatological EIMs with VDZ and UST (9% vs. 6%) Conclusion Anti-TNF therapy appears to be effective in managing both peripheral and axial spondyloarthritis. Given the lack of consistent data on new advanced therapies, prospective studies designed to assess the impact of other advances therapeutics on rheumatological EIMs ,with rigorous endpoint assessment, are needed

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)0.030
metaresearch head score (Gemma)0.132
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.132
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0140.010
Bibliometrics0.0220.025
Science and technology studies0.0010.002
Scholarly communication0.0060.005
Open science0.0030.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.037
GPT teacher head0.342
Teacher spread0.305 · 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 designSystematic review
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

Citations0
Published2025
Admission routes1
Has abstractyes

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