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Record W4407884630 · doi:10.57264/cer-2024-0193

Matching-adjusted indirect comparisons of efficacy outcomes between etrasimod and ozanimod for moderately to severely active ulcerative colitis

2025· article· en· W4407884630 on OpenAlexaff
Vipul Jairath, Tim Raine, Thomas P. Leahy, Ravi Potluri, Karolina Wosik, David Gruben, Joseph C. Cappelleri, Peter Hur, Lauren Bartolome

Bibliographic record

VenueJournal of Comparative Effectiveness Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsPfizer (Canada)Western University
Fundersnot available
KeywordsMedicineUlcerative colitisInternal medicineClinical trialPlaceboConfidence intervalDiseasePathology

Abstract

fetched live from OpenAlex

Aim: Etrasimod and ozanimod are selective sphingosine 1-phosphate receptor modulators targeting the S1P 1,4,5 , and S1P 1,5 receptors, respectively, for the treatment of patients with moderately to severely active ulcerative colitis (UC). No head-to-head trial data exist between the two treatments. We compared these treatments indirectly using key efficacy outcomes from pivotal trials with induction and maintenance phase data adjusting for differences in clinical trial design and populations. Materials & methods: Individual patient data for etrasimod were matched to published aggregate data of ozanimod by key baseline characteristics. An anchored matching-adjusted indirect comparison (MAIC) was conducted for the induction period. An unanchored MAIC was utilized during the maintenance period due to differences in placebo arms between trials as a result of differing trial designs. Matching characteristics measured at baseline were age, sex, corticosteroid use, duration of UC, biologic exposure, modified Mayo score, and presence of left-sided colitis. Outcomes were clinical response and clinical remission for the induction period, and clinical response and clinical remission among induction phase responders for the maintenance period. Two sensitivity analyses were conducted. The first matched on prior TNFi exposure rather than biologic exposure, the second sensitivity analysis included an induction only etrasimod trial (ELEVATE UC 12). Results: There were no significant differences between etrasimod and ozanimod at the end of the induction period for clinical response and clinical remission, respectively (relative risk [RR] 0.98 [95% confidence interval (CI): 0.76–1.33], RR: 1.25 [95% CI: 0.71–2.92]). At the end of maintenance, etrasimod demonstrated improved outcomes compared with ozanimod for both clinical response (RR: 1.18 [95% CI: 1.05–1.30]) and clinical remission among induction phase responders (RR: 1.33 [95% CI: 1.12–1.55]). In the sensitivity analysis that matched on prior TNFi exposure rather than biologic exposure, there were no notable differences compared with the primary analyses. In the sensitivity analysis pooling ELEVATE UC 12 and ELEVATE UC 52 data, results were similar for clinical response (RR: 0.90 [95% CI: 0.75–1.10]) but etrasimod showed reduced efficacy for clinical remission (RR: 0.72 [95% CI: 0.50–1.12]) compared with the primary analysis, though overall remained not significantly different from ozanimod. Conclusion: MAIC results suggest that patients receiving etrasimod have similar induction results but are more likely to have clinical response and clinical remission at the end of the maintenance phase compared with patients receiving ozanimod. Despite the approach to ensure similarity between the trials by weighting, residual imbalance is possible, and results should be interpreted in the context of the assumptions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.471
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.088
GPT teacher head0.434
Teacher spread0.346 · 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 teacher head, 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

Citations4
Published2025
Admission routes1
Has abstractyes

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