An Update on Anti-TNF Biosimilar Switching—Real-World Clinical Effectiveness and Safety
Bibliographic record
Abstract
Background: Biological medications for inflammatory bowel disease (IBD) account for a significant burden on provincial budgets. In an effort to curb these rising costs, nationwide switching to biosimilars is expected to be complete in Canada before the end of 2023. Biosimilar products do not require the same rigor for licensing as the originator and therefore there has been appropriate scepticism as to how biosimilars will perform in real-world practice. Methods: We have performed a systematic review including real-world observational studies of adult patients with IBD. The primary outcome was clinical effectiveness and/or safety in patients who had switched from originator to biosimilar anti-TNF. Secondary outcomes included loss of response (LOR), treatment persistence or cessation and immunogenicity. Results: We included 43 studies (7,462 patients [70 percent Crohn's disease: 30 percent ulcerative colitis]; 32 infliximab studies, and 11 adalimumab studies). For infliximab, 75 percent patients were in clinical remission at the time of switch and 75 percent maintained clinical remission beyond 12 months, compared to 78 percent of patients who continued originator. For adalimumab, 86 percent patients were in remission at the time of switch with 82 percent maintaining remission at 6 months follow-up. Injection site pain was higher in patients who switched to a citrate containing adalimumab biosimilar, compared with those who continued originator. All other outcomes (LOR, treatment cessation or persistence and serious adverse events) were similar to patients who continued originator (in comparator cohorts or the available literature). Conclusion: Whilst ongoing vigilance is required, these data are reassuring to both patients and clinicians and will significantly help to reduce health-care costs across Canada.
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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 | 0.030 | 0.087 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".