Post-trial period surveillance for randomised controlled cardiovascular studies: submitted protocols, consent forms and the role of the ethics board
Bibliographic record
Abstract
BACKGROUND: The post-trial period is the time period after the end of study drug administration. It is unclear whether post-trial arrangements for patient surveillance are routinely included in study protocols and consents, and whether research ethics boards (REB) consider the post-trial period. OBJECTIVES: The objective was to determine whether trial protocols and consent forms reviewed by the REB describe procedures for post-trial period surveillance. METHODS: An observational study of protocols of randomised trials of chronic therapies for cardiac conditions, approved by the REB of two academic institutions affiliated with the University of Toronto in Canada (University Health Network and Mount Sinai Hospital) from 1995 to 2007. Plans for patient surveillance in the post-trial period described in the protocol or in the consent form before and after REB approval were recorded. RESULTS: 42 studies were identified including 18 heart failure and 15 coronary artery disease trials. Only four studies planned a clinical visit after trial termination, and an additional three planned a telephone contact after trial completion. Five trials submitted consent forms to the REB with a discussion of the post-trial period. CONCLUSIONS: The majority of protocols and consent forms did not discuss plans for post-trial period surveillance. The post-trial period and the REB approval process could be improved by systematic follow-up being described in the protocol and consent form. The small number of trial protocols evaluated in the study may impair the degree to which the results can be generalised.
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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 | 0.872 | 0.874 |
| Meta-epidemiology (narrow) | 0.002 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".