Comparative Effectiveness of Vedolizumab vs. Infliximab Induction Therapy in Ulcerative Colitis: Experience of a Real-World Cohort at a Tertiary Inflammatory Bowel Disease Center
Bibliographic record
Abstract
BACKGROUND: Vedolizumab (VDZ), an adhesion molecule inhibitor and infliximab (IFX), a tumor necrosis factor (TNF) blocker, are both approved as first-line induction agents in moderately to severely active ulcerative colitis (UC). However, there are no head-to-head studies comparing the relative effectiveness of the two agents. Here we provide a real-world comparison of these two agents. METHODS: We conducted an ambidirectional cohort study of adult UC patients seen at our tertiary inflammatory bowel disease (IBD) center from 2012 to 2017. Each patient had moderately to severely active UC via partial Mayo score and was induced with IFX or VDZ. They were followed until assessment of clinical response. Poisson regression was used to calculate clinical response rates and rate ratios. RESULTS: Of 59 patients who met inclusion criteria, 27 and 32 patients were induced with IFX and VDZ, respectively. Totally, 18/27 (66.7%) patients induced with IFX vs. 24/32 (78.1%) patients induced with VDZ were clinical responders. Response rates per 100 person-weeks (PW) were similar for VDZ (5.21) and IFX (5.38). The effectiveness in terms of induction of clinical response (incidence rate ratio, IRR) was not statistically significant for VDZ vs. IFX (IRR 0.97, 95% confidence interval (CI) 0.53 - 1.77). Among TNF blocker naive patients, IRR was also not statistically significant between VDZ (6.74/100 PW) and IFX (6.48/100 PW) (IRR 1.04, 95% CI 0.47 - 2.29). Among TNF blocker experienced patients, there was a higher response rate for VDZ (4.52) vs. IFX (2.29) per 100 PW, but the IRR did not reveal statistical significance (IRR 1.97, 95% CI 0.45 - 8.63) due to small sample size of TNF blocker experienced patients who received IFX. Five patients developed severe infection or adverse reaction during IFX induction requiring exclusion, whereas no VDZ patients were excluded for this reason. CONCLUSIONS: Our study revealed a higher proportion of patients who responded to VDZ vs. IFX; however when accounting for period between induction and assessment of clinical response, rates of clinical response were similar. A key difference between the two groups was the higher response rate in the VDZ group among TNF blocker experienced patients; however, a larger cohort is needed to further elaborate on this difference. VDZ held its own against IFX and this study strengthens its standing as a first-line agent among TNF blocker naive as well as TNF blocker experienced UC 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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".