Avoiding Delays in Reporting Time-to-Event Randomized Trials: Calendar Backstops and Other Approaches.
Megan K D OthusBoris FreidlinEdward L KornPublished in: Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2024)
New oncology therapies that extend patients' lives beyond initial expectations and improving later-line treatments can lead to complications in clinical trial design and conduct. In particular, for trials with event-based analyses, the time to observe all the protocol-specified events can exceed the finite follow-up of a clinical trial or can lead to much delayed release of outcome data. With the advent of multiple classes of oncology therapies leading to much longer survival than in the past, this issue in clinical trial design and conduct has become increasingly important in recent years. We propose a straightforward prespecified backstop rule for trials with a time-to-event analysis and evaluate the impact of the rule with both simulated and real-world trial data. We then provide recommendations for implementing the rule across a range of oncology clinical trial settings.
Keyphrases
- clinical trial
- phase ii
- phase iii
- study protocol
- palliative care
- open label
- end stage renal disease
- double blind
- randomized controlled trial
- ejection fraction
- electronic health record
- newly diagnosed
- chronic kidney disease
- big data
- peritoneal dialysis
- risk factors
- emergency department
- clinical practice
- machine learning
- quality improvement
- data analysis
- deep learning
- patient reported