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Record W4407285083 · doi:10.1093/jcag/gwae059.092

A92 MULTIFACETED STRIDE II-BASED MONITORING FOR INFLAMMATORY BOWEL DISEASE ADVANCED THERAPY STARTS

2025· article· en· W4407285083 on OpenAlexaff
D Parsons, Stephen A. MacKay, Shafiqul Hoque, Frank Hoentjen, Levinus A. Dieleman, M Gozdzik, Karen I. Kroeker, K Wong, Todd McMullen, Farhad Peerani, Brendan P. Halloran

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSTRIDEInflammatory bowel diseaseMedicineDiseaseIntensive care medicinePhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel disease (IBD) outreach monitoring has been shown to be cost-effective and reduce healthcare utilization. IBD STRIDE-II guidelines recommend monitoring patient-reported outcomes (PRO’s), biomarkers (e.g., fecal calprotectin (FCP), C-reactive protein (CRP)), and endoscopy to determine if patients achieve defined therapeutic targets. Previous monitoring in the literature has focused on PRO’s alone, which risks undertreating asymptomatic inflammation in spite of elevated flare and colorectal cancer risk. We designed a protocol to closely monitor biomarkers and PRO’s. Aims We aimed to assess STRIDE-II based clinical response and facilitate responsive disease management for new advanced therapy start patients. Methods Patients complete 24 weeks of outreach monitoring. PRO’s are obtained on days 0, 3, and 7, and every 2 weeks thereafter. Serum labs are collected at baseline and weeks 4, 8, 12, 16, and 24. FCP is collected at baseline and weeks 8, 16, and 24. Medication adherence is assessed at baseline and weeks 12 and 24. Endoscopy is booked 6-12 months from the start date. Treating gastroenterologists receive granular clinical reports summarizing results, the date of last IBD review, and last flare. Results 75 protocol patients on the following therapies: ustekinumab (n = 31), risankizumab (n = 17), tofacitinib (n = 14), upadacitinib (n = 10), vedolizumab (n = 2), and infliximab (n = 1) were monitored in our protocol so far. 51 patients (68.0%) had failed 1+ prior advanced therapies and 13 (17.3%) had prior IBD surgery. 7 (9.3%) were switched from their initial agent before 24 weeks due to lack of response. 1 (1.3%) had an adverse drug event. 64 patients (85.3%) complied with all FCP collections and 73 (97.3%) completed 95+% of PRO’s. Per STRIDE-II definitions, 47 patients (62.7%) demonstrated clinical response during the protocol and 25 (33.3%) achieved remission by 24 weeks. 15 (20.0%) received steroid courses, 9 (12.0%) presented to an emergency department, and 5 (6.7%) were hospitalized for IBD during monitoring. Conclusions Our proactive monitoring protocol provided granular real-world clinical response data to treating physicians. Patients were highly compliant with serial PRO, FCP, and serum labs collection. The protocol facilitates responsive disease management and may lead to treatment-specific monitoring recommendations. In future, we will compare protocol patients to standard of care managed patients to learn if the protocol reduces healthcare utilization and improves patient outcomes and quality of life. Funding Agencies None

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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