Impact of Infliximab-dyyb (Infliximab Biosimilar) on Clinical and Patient-Reported Outcomes: 1-Year Follow-up Results from an Observational Real-World Study Among Patients with Inflammatory Bowel Disease in the US and Canada (the ONWARD Study)
Bibliographic record
Abstract
INTRODUCTION: To date, there are limited real-world studies published on the use of infliximab-dyyb, a biosimilar to reference product (RP) infliximab approved for the treatment of moderate to severe inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC) in North America. This study examined utilization patterns and the effects of infliximab-dyyb on clinical outcomes, patient-reported outcomes (PROs), and healthcare resource use (HCRU) in IBD patients in a real-world setting. METHODS: In this prospective, observational study, adult IBD patients in the US and Canada were recruited to initiate treatment with infliximab-dyyb and followed for 12 months. Patients included biologic-naïve users of infliximab-dyyb and patients switching from RP infliximab or other biologics to infliximab-dyyb. Partial Mayo (pMAYO) and Harvey Bradshaw Index (HBI) scores measured clinical outcomes for the UC and CD cohorts, respectively. Key PRO measures included the SIBDQ, EQ-VAS, and psychological outcomes. In addition, work productivity, HCRU, and adverse events (AEs) were assessed. RESULTS: A total of 67 CD and 48 UC patients were enrolled (51% female; mean age 44 years; 87% Caucasian; mean BMI 27.9). Thirty-nine patients were biologic-naïve, 57 switched from RP infliximab, and 19 switched from other biologics. Among UC biologic-naïve users, pMAYO decreased from 5.67 to 1.09 (p < 0.0001) and the remission rate increased from 5.6 to 90.9% (p = 0.0015). For UC patients switching from RP infliximab, pMAYO decreased from 1.38 to 0.29 (p = 0.0103). For CD biologic-naïve users, HBI scores and remission rates did not significantly change. The scores on all the PROs significantly improved from baseline to 12 months. A total of 22 AEs occurred consistent with the known AE profile for infliximab. CONCLUSIONS: Clinical outcomes among biologic-naïve users of infliximab-dyyb improved for UC and were maintained for CD patients. Biologic-naïve users of infliximab-dyyb showed significant improvements in PROs. Patients switching from RP infliximab to infliximab-dyyb maintained their clinical outcomes and PROs. TRIAL REGISTRATION: ClinicalTrials.gov Registration Number: NCT03801928 (February 23, 2018).
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".