Policy Options for Infliximab Biosimilars in Inflammatory Bowel Disease Given Emerging Evidence for Switching
Bibliographic record
Abstract
Biosimilars are becoming increasingly available internationally as patents expire on the originator biologic drugs they are intended to copy. Although substitution policies seen with generic drugs are being considered as a means to reduce expenditures on biologics, some biosimilars pose particular challenges in that the act of substitution may eventually lead to increased rates of therapeutic failure. As evidence requirements from regulators do not directly address this challenge, switch trials of biosimilars have emerged that may provide further answers. Using infliximab in inflammatory bowel disease as an example, we critically examine emerging evidence from two key switch trials (NOR-SWITCH and NCT020968610) and discuss the clinical and economic implications of these and what policy options may be most reasonable for payers. Options include reimbursing biosimilars for only newly diagnosed patients, using product-listing agreements to manage uncertainty, or using tiered co-payments or other incentives to promote biosimilar use.
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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 | 0.010 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.063 | 0.036 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".