The comparability conundrum: biosimilars in the United States, Europe and Canada.
Bibliographic record
Abstract
A biosimilar contains an active ingredient that is similar, but not identical, to the active ingredient in an approved reference drug. This raises the issue of when and how a biosimilar should be allowed to compare to a reference drug for marketing approval. This paper looks at the current regulation of biosimilars in Europe, the United States and Canada. The response to the challenge of regulating biosimilars has been varied. For example, Europe implemented a specialized, abbreviated legal pathway about five years before the United States. In Canada, abbreviated approval by comparison to an approved reference biologic was already available under the existing regulatory framework. Regulators have significant discretion to set criteria establishing when a biosimilar is deemed comparable to a reference biologic. The comparability standards for review of the one biosimilar approved in all three jurisdictions (Omnitrope, a human growth hormone) were largely consistent. Omnitrope may be instructive as to the potential standard of review for future single chain protein biosimilars. In contrast, the United States approved a second-entry low molecular weight heparin with no clinical trials, whereas European guidelines state that clinical trial data will be required.
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 | 0.089 | 0.179 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".