Comparative Effectiveness of Biologics for Endoscopic Healing of the Ileum and Colon in Crohn's Disease
Bibliographic record
Abstract
INTRODUCTION: We compared the efficacy of adalimumab, infliximab, ustekinumab, and vedolizumab on the ability to achieve endoscopic healing (EH) after 1 year of therapy in moderate-severe Crohn's disease (CD). METHODS: This was a pooled analysis of patient-level data from 299 patients with CD from 4 clinical trials. Proportions of patients treated with each biologic were compared for achieving 1-year complete EH (Simple Endoscopic Score for CD [SES-CD] <3) and ileal and colonic EH separately (SES-CD = 0). Multivariate logistic regression was used to model the relationship between biologics and 1-year outcomes and adjusted for disease duration, concomitant corticosteroid use, and prior antitumor necrosis factor failure. RESULTS: Compared with vedolizumab (4/56 [7.1%]), adalimumab (17/61 [27.9%], adjusted odds ratio [OR]: 5.79, 95% confidence interval [CI]: 1.77-18.95, P = 0.004) and infliximab (39/141 [27.7%], aOR: 4.59, 95% CI: 1.48-14.22, P = 0.008) had superior rates of 1-year EH. No significant difference was observed between vedolizumab and ustekinumab. Similar results were observed among biologic-naive patients. Among patients with baseline ileal SES-CD ≥3, no significant differences were observed between biologics for 1-year ileal EH. However, for large (>0.5 cm) ileal ulcers, infliximab (20/49 [40.8%]) had superior rates of no ileal ulcers compared with vedolizumab (2/23 [8.7%], aOR: 5.39, 95% CI: 1.03-28.05, P = 0.045). No other differences were observed. For colonic disease, compared with ustekinumab (9/31 [29.0%]), adalimumab (30/48 [62.5%], aOR: 3.97, 95% CI: 1.45-10.90, P = 0.007) had superior rates of 1-year EH in the colon, with similar trends observed for infliximab (55/105 [52.4%], aOR: 2.08, 95% CI: 0.82-5.27, P = 0.121). No other differences were observed. DISCUSSION: In this post hoc analysis, TNF-α antagonists were overall superior to vedolizumab and ustekinumab for achieving 1-year EH in moderate-severe CD patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".