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Record W4318539158 · doi:10.1093/ecco-jcc/jjac190.0902

P772 Association of histological remission with long-term clinical outcomes in patients with ulcerative colitis: a multi-national retrospective study with centralized histological assessment

2023· article· en· W4318539158 on OpenAlexaffabout
Vipul Jairath, Alessandro Armuzzi, Rish K. Pai, D Sun, Y Li, M Bassel, N R Brett, D Bojic

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsThermo Fisher Scientific (Canada)Western University
Fundersnot available
KeywordsUlcerative colitisMedicineColectomyInternal medicineHazard ratioRetrospective cohort studyGastroenterologyProportional hazards modelStatistical significanceInflammatory bowel diseaseSurgeryConfidence intervalDisease

Abstract

fetched live from OpenAlex

Abstract Background Histological remission (HR) is an achievable therapeutic target in ulcerative colitis (UC), however there is limited data on the association of HR with long-term clinical outcomes. We evaluated the association between HR and a composite outcome of colectomy, UC-related hospitalization, or intravenous (IV) corticosteroid use in patients with UC. Methods This was a multi-national retrospective study of adult patients with UC treated with a biologic or small molecule drug between 09/01/2005 and 06/30/2019 in Canada, Italy, Netherlands and United States. The study included biologic-naïve (bio-naïve) and biologic-experienced (bio-exp) patients. Biopsies taken during routine practice were procured and re-assessed for histological activity by blinded gastrointestinal pathologists in a central laboratory. HR was defined as the absence of neutrophilic inflammation (Nancy Histological Index ≤1 or Robarts Histological Index ≤3 plus Geboes subgrades 2B.0/3.0) at the most recent endoscopic evaluation within 3 to 9 months after treatment initiation. Cumulative risk of time-to-event outcome over 12 months from treatment initiation was evaluated using Kaplan-Meier (KM) methods and Cox proportional hazard analysis. Statistical significance was set as p-value <0.05. Results We included 227 patients with UC (bio-naïve and bio-exp) (Table 1); of whom, 132 (58%) were bio-naïve (Table 2). Of the bio-naïve patients, 62 (47%) achieved HR and 70 (53%) had histologic activity; 9 (6.8%) underwent colectomy, 16 (12.1%) had UC-related hospitalizations, and 8 (6.1%) received IV corticosteroid. Unadjusted time-to-event for the composite outcome was significantly greater in bio-naïve patients who achieved HR compared to those who did not (p=0.0023; Figure 1A). In multivariable analysis, the association of HR on the composite outcome in bio-naïve patients was not statistically significant (adjusted hazard ratio [aHR], 0.26; 95% CI, 0.02-4.42). In the overall patients (bio-naïve and bio-exp), unadjusted (p<0.001; Figure 1B) and multivariable (aHR, 0.32; 95% CI, 0.06-1.75) associations of HR and the composite outcome were similar to the bio-naïve patients. Conclusion We used central reading to evaluate the association of HR and clinical outcomes in patients with UC. While unadjusted KM curves showed that HR was associated with decreased risk of the composite outcome, the association was no longer significant after adjustment for covariates. The target sample size for this study was not achieved and the number of events was small, resulting in reduced statistical power. Future studies are warranted to explore the association further.

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)0.003
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.321
Teacher spread0.304 · 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
Published2023
Admission routes2
Has abstractyes

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