Scarce quality assurance documentation in major clinical trial registries for approved medicines used in post-marketing clinical trials
Bibliographic record
Abstract
Abstract Background This research reviewed major Clinical Trial Registries (CTRs) and assessed the availability of fields on quality assurance for approved medicines used as Investigational Medicinal Products (IMPs) in phase IV clinical trials. Methods Two reviewers independently assessed CTRs of the International Committee of Medical Journal Editors (ICJME) and of World Health Organization (WHO) platforms. Each CTR was checked by two reviewers on availability of fields on brand name, manufacturer’s name, approval status, approving authority, compliance with Good Manufacturing Practices, and quality testing. In case of discrepancy, consensus was sought between the two reviewers. Results Of 19 identified CTRs, 8 and 6 belonged to WHO and ICMJE, respectively, while 5 were equally part of both platforms. All CTRs had an ‘intervention’ field where data on IMPs and IMP comparators are captured. The Canadian CTR used ‘drug name’ rather than ‘intervention’. The EU, Peruvian, and UK CTRs had fields for ‘brand name’. However, only the EU CTR had fields for ‘manufacturer’s name’, ‘approval status’, and ‘approving authority’. None of the CTRs had fields on ‘compliance with Good Manufacturing Practices’ or ‘quality testing’. Conclusion This study demonstrates that none of the CTRs of ICMJE and WHO platforms has adequate fields to establish that the source of post-marketing IMPs is of assured quality. This is astonishing given the lengthy requirements in WHO and ICMJE guidelines. Considering the relation between IMP quality and safety of clinical trial participants, the gap of quality assurance fields should be bridged at CTRs concurrently to adjustments of WHO and ICMJE guidelines on CTRs. Specifically, IMP quality testing addressing issues on IMP appearance, impurities, microbial contamination, and dosing should be conducted and reported before, during, and after clinical trial conduct. Until adoption of these measures, the EU CTR should be preferred for registration of phase IV clinical trials conducted in countries lacking stringent regulatory capacities.
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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 | 0.657 | 0.842 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.034 | 0.029 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".