Bibliographic record
Abstract
PURPOSE OF REVIEW: The goal is to review the most recent literature about biosimilars in inflammatory bowel disease (IBD), with emphasis on controversial regulatory issues. RECENT FINDINGS: Although biosimilars have been in use in Europe since 2005, the recent approval of CT-P13 (Remsima, Inflectra), a biosimilar of the reference infliximab (Remicade), by the European Medicines Agency (EMA) and several regulatory agencies has become a widely discussed topic in IBD, rheumatology, and other areas. Biologics are the main drivers of cost in current IBD units, and biosimilars can reduce prices thus increasing the availability of this type of treatment. The guidelines for evaluation of biosimilars are considerably different from those of the reference biologics, regulatory agencies relying on detailed in-vitro studies for defining 'high similarity', and requiring many fewer clinical data. 'High similarity' is considered sufficient for clinical trials, as the new molecule is demonstrated so structurally similar to the reference one that no significant difference in efficacy or safety is expected. Two trials in ankylosing spondylitis and rheumatoid arthritis gave no evidence of real difference and provided the required pharmacokinetic and PD data. The main controversy remains in the 'extrapolation' of indications, accepted by EMA but not by Health Canada. Position statements from several scientific societies and some expert's reviews have expressed concerns to the concept of extrapolation without direct IBD clinical evidence, whereas EMA experts have published detailed reviews supporting extrapolation. SUMMARY: Biosimilars in IBD are here to stay. New data are awaited to settle the controversy of extrapolation, but only the complex behavior of markets will show whether biosimilars fuel competition and extend access to biologics with significant cuts in drug costs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".