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Record W4406699670 · doi:10.1093/ecco-jcc/jjae190.1038

P0864 Real-world effectiveness of upadacitinib for perianal Crohn’s disease: A multi-center retrospective study

2025· article· en· W4406699670 on OpenAlexaffabout
Jalpa Devi, B Quraishi, Dev B, Meredith R. Kline, Fnu Jaiprada, Katherine Huang, Abdul Wali Khan, Saad Alanazi, Alyssa A. Seeraj, L.C. Maas, Arpita N. Jajoo, Navreet Chowla, Michael D. Stone, Arpan Patel, A Xu, Ravi Shukla, Shrinivas Bishu, A. L. Johnson, Alyssa Parian, Andrés Yarur, J McCurdy, Bernard McDonald, Siam Yit Wong, Parakkal Deepak

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineCrohn's diseaseRetrospective cohort studyCenter (category theory)Internal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background There is limited data on the clinical effectiveness of upadacitinib (UPA), an oral selective inhibitor of Janus kinase 1 (JAKi), in patients with perianal Crohn's disease (pCD). The objective of this study was to evaluate the real-world effectiveness of UPA in pCD. Methods This retrospective analysis utilized data on adults (>17 years) who initiated UPA at 45 mg/day for active pCD across 10 centers in the United States and Canada. Standardized data extraction and entry protocols were followed. The primary outcome was clinical response, defined as a ≥3-point reduction in Perianal Disease Activity Index (PDAI) between baseline and follow-up. Secondary outcomes included normalization of CRP (<5 mg/L) or hsCRP (<1 mg/L), clinical remission (PDAI ≤4), and rates of hospitalization, antibiotic use, corticosteroid initiation, and new pCD-related surgeries. Fistula healing on MRI pelvis fistula protocol was defined as an absence of T2-weighted hyperintensity and post-contrast enhancement on T1-weighted images. Predictive analyses used Cox proportional hazards models to evaluate baseline factors influencing time to PDAI remission, including BMI, CRP, albumin, PDAI, pCD disease duration, Montreal location and prior biologic exposure (<2 vs 2+). Results A total of 81 patients were treated with UPA for pCD (median age 35 years and 54.3% male). Most had ileocolonic disease (65.4%), with 54% presenting with complex fistulas. Of these, 92.6% had prior anti-TNF exposure, and 91 (88.9%) had prior exposure to 2+ biologics (Table 1). During a median follow-up of 4 months, clinical response (PDAI) was achieved in 17.3%. Improvement was observed in pain and restriction of activities (27.2%), restriction of sexual activity (13.6%), reduction in number of fistulas (11.1%), degree of induration (11.1%), and discharge (35.8%). Median CRP reduction was 21.05% [IQR: 0.00–74.53], and 21.0% achieved a ≥50% reduction in CRP. MRI healing was limited to 17.7% (6/34). Proctitis decreased from 23.5% at baseline to 7.4% at follow-up. During follow-up, hospitalizations occurred in 9.9%, 14.8% required antibiotics, 8.6% underwent examination under anesthesia in 8.6%, seton placement in 6.2%, and abscess drainage in 6.2%. Patients with ileocolonic disease showed the highest remission (54%) and response (15%) rates, while MRI healing was limited across all Montreal locations (7.4%). Lower baseline CRP (p < 0.05) and PDAI scores (p < 0.01) predicted shorter time to remission. Number of prior biologic exposures (p =0.2) and Montreal location (p = 0.7) were not predictive of time to PDAI remission (Figure 1). Conclusion UPA in a real-world cohort is effective in the management of treatment-refractory pCD. Randomized trials are needed to confirm these observations.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.290
Teacher spread0.281 · 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 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".

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Citations3
Published2025
Admission routes2
Has abstractyes

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