Innovative approaches to investigator-initiated, multicentre paediatric clinical trials in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Data from clinical trials are needed to guide the safe and effective use of medicines in children. Clinical trials are challenging to design and implement in all populations, and children present additional considerations. Several regions including the UK, USA and Europe have established clinical trial infrastructure to capitalise on expertise and promote clinical trials enrolling children. Our objective is to describe the partnerships and operational considerations for the development of paediatric clinical trials infrastructure in Canada. We describe the design and conduct of four emergency room paediatric trials, with four separate sponsors, across four provinces in parallel. Operations discussed include multisite contract development, centralised risk-based data monitoring, ethical review and patient engagement. We conclude with lessons learnt, additional challenges and potential solutions to facilitate drug development for children in Canada.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it