Post-approval Variations to Dossiers for Vaccines: Analysis of Regulatory and Methodological Approaches Used in the Russian Federation and Abroad
Bibliographic record
Abstract
The management of post-approval changes to registration dossiers for medicinal products is one of the most important factors for ensuring sustainable quality, safety and efficacy of medicines. Competent authorities that use the module format of the registration dossier, i.e. the regulatory authorities of the European Union, USA and other members of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), and the Eurasian Economic Union (EEU), issue guidelines on changes to registration dossiers for pharmaceuticals and biologicals (immunological products). Vaccines (finished dosage forms) and vaccine antigens (active ingredients) are a specific group of immunobiological products which have great prophylactic importance for healthcare, and which are associated with challenging development and specific methods of manufacturing and quality control. The procedure of introducing post-approval variations to dossiers for immunobiological medicinal products is poorly reflected in the current Russian and EEU regulations. The World Health Organization (WHO) established a procedure described in the «Guidelines on procedures and data requirements for changes to approved vaccines». The purpose of the present study was to compare current Russian and international legislation in terms of regulatory requirements for post-approval сhanges to dossiers for immunobiological products. The Federal State Budgetary Institution «Scientific Centre for Expert Evaluation of Medicinal Products» of the Ministry of Health of the Russian Federation is drafting Guideline on introducing post-approval changes into dossiers for immunobiological medicines. The draft includes a detailed review of various categories of changes based on their importance, and a list of conditions and required documents for specific groups of medicines. This article summarises scientific and methodological approaches to evaluation of changes introduced in registration dossiers for vaccines in order to further improve the regulatory framework of the Russian Federation and the EEU.
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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 | 0.031 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".