A Survey of the Regulatory Requirements for the Acceptance of Foreign Comparator Products by Participating Regulators and Organizations of the International Generic Drug Regulators Programme
Bibliographic record
Abstract
The acceptance of foreign comparator products is the most limiting factor for the development and regulatory assessment of generic medicines marketed globally. Bioequivalence studies have to be repeated with the local comparator products of each jurisdiction because it is unknown if the comparators of the different countries are the same product, with the consequent duplication of efforts by regulators and industry alike. The regulatory requirements on the acceptability of foreign comparator products of oral dosage forms differ between countries participating in the Bioequivalence Working Group for Generics of the International Pharmaceutical Regulators Programme. Brazil, Colombia, the European Union member States, Japan, Mexico, South Korea and the United States only accept bioequivalence studies with their local comparator. In contrast, Australia, Canada, New Zealand, Singapore, South Africa, Switzerland and Taiwan accept studies with foreign comparators under certain conditions. Canada limits its use to highly soluble drugs with a wide therapeutic range in immediate release products. Australia requires a comparison of the quantitative composition. In contrast, there are fewer restrictions on the acceptance of foreign comparators in New Zealand, Singapore, South Africa, Switzerland and Taiwan. For the WHO Prequalification of Medicines and for developing generics of the essential medicines the WHO lists comparators from different countries. In conclusion, there is currently no consensus amongst regulators on the acceptability of foreign comparator products.
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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 | 0.113 | 0.139 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| 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".