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Record W4207066619 · doi:10.1093/ecco-jcc/jjab232.619

P492 A comparison of treatment effects for clinical, endoscopic and histological remission in ulcerative colitis clinical trials

2022· article· en· W4207066619 on OpenAlexaff
Rocío Sedaño, Malcolm Hogan, Guangyong Zou, Neeraj Narula, Siddharth Singh, Christopher Ma, Vipul Jairath

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of CalgaryMcMaster UniversityWestern University
Fundersnot available
KeywordsPlaceboMedicineInternal medicineUlcerative colitisClinical trialClinical endpointGastroenterologySpontaneous remissionComplete remissionSurgeryPathologyChemotherapyDisease

Abstract

fetched live from OpenAlex

Abstract Background Clinical remission, defined by the Mayo Clinic Score (MCS) or modified MCS, is the accepted regulatory endpoint in drug development for ulcerative colitis (UC). Whilst histologic remission is a more stringent outcome, recent trials have reported numerically higher rates compared to endoscopic or clinical remission rates at the same timepoint, suggesting that histologic remission may be a more sensitive endpoint for detecting treatment response Methods A systematic review was performed from inception to December 2020, including all placebo-controlled drug trials for adults with UC. Clinical, endoscopic, and histologic induction remission rates for active treatment and placebo arms were pooled on the logit scale using a random-effects model to account for both between- and within-study variability. Risk ratios (RR) and risk differences comparing the rate of remission in active treatment arms to the rate of remission in placebo arms were also pooled using a random-effects model. Results For induction trials, 15/84 reported clinical, endoscopic, and histologic remission rates at the same timepoint. Clinical remission was mostly defined as a MCS≤2 with no individual subscore>1 (10/15;66.6%), and endoscopic remission as MES=0 (6/15; 40%) or MES≤1 (9/15; 60%). Histologic remission was defined using Geboes score in 10/15(66.7%) trials, with a score≤1.0 in 4/10(40%), score=0 in 3/10(30%), and score<3.0 in 3/10(30%) trials. For placebo/active treatment arms, the pooled clinical, endoscopic, and histologic remission rates were 11.3%(95% CI 7.4–16.9%) /17.8%(95% CI 13.7–22.8%), 13.4%(95% CI 8.5–20.5%) /18.7% (95% CI 12.2–27.5%), and 18.2%(95% CI 13.8–23.6%) /27%(95% CI 20.6–34.7%), respectively(Figure 1). The differences in pooled clinical, endoscopic, and histologic remission rates between active treatment and placebo were 7.2%(95% CI 4.3%–10.1%), 6.6% (95% CI 2.5%–10.7%), and 8.4% (95% CI 4.3%–12.4%), respectively(Figure 2A), and the pooled RR comparing clinical, endoscopic, and histologic remission rates in the active treatment and placebo arms were 1.59 (95%CI 1.19–2.13), 1.49 (95%CI 1.16–1.90), and 1.47 (95%CI 1.20–1.81), respectively(Figure 2B) Conclusion Histologic remission has been proposed as a treatment target for patients with UC, given an association between this outcome and lower rates of clinical relapse.1 Although we found numerically higher pooled histologic remission rates for active treatment and placebo arms, compared to pooled clinical and endoscopic remission rates, we found no difference in the pooled RR for clinical, endoscopic, and histologic remission rates in the active treatment and placebo arms. Whilst histology has the potential to serve as a more efficient endpoint for drug development, more studies 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)0.047
metaresearch head score (Gemma)0.094
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.998
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0470.094
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.028
Bibliometrics0.0030.004
Science and technology studies0.0000.002
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0140.001

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 head0.084
GPT teacher head0.433
Teacher spread0.348 · 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.

Study designMeta-analysis
DomainMethods
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
Published2022
Admission routes1
Has abstractyes

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