Systematic review: effectiveness and safety of switching between originator infliximab and biosimilar infliximab in patients with inflammatory bowel disease
Bibliographic record
Abstract
INTRODUCTION: Infliximab (IFX) biosimilars are available to treat inflammatory bowel disease (IBD), offering cost reductions versus originator IFX in some jurisdictions. However, concerns remain regarding the efficacy and safety of originator-to-biosimilar switching. This systematic literature review evaluated safety and effectiveness of switching between IFX products in patients with IBD, including multiple switchers. METHODS: Embase, PubMed, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials were searched to capture studies (2012-2022) including patients with IBD who switched between approved IFX products. Effectiveness outcomes: disease activity; disease severity; response to treatment; patient-reported outcomes (PROs). Safety outcomes: incidence and rate of adverse events (AEs); discontinuations due to AEs, failure rate; hospitalizations; surgeries. Immunogenicity outcomes (n, %): anti-drug antibodies; patients receiving concomitant immunomodulatory medication. RESULTS: Data from 85 publications (81 observational, two randomized controlled trials) were included. Clinical effectiveness outcomes were consistent with the known profile of originator IFX with no difference after switching. There were no unexpected/serious AEs after switching, and rates of AEs were generally consistent with the known profile of IFX. CONCLUSIONS: Most studies reported that clinical, PROs, and safety outcomes for originator-to-biosimilar switching were clinically equivalent to originator responses. Limited data are available regarding multiple switches. PROTOCOL REGISTRATION: www.crd.york.ac.uk/prospero identifier is CRD42021289144.
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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 | 0.011 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.010 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".