Kidney disease trials for the 21st century: innovations in design and conduct.
William G HerringtonNatalie StaplinRichard HaynesPublished in: Nature reviews. Nephrology (2019)
Compared to other specialties, nephrology has reported relatively few clinical trials, and most of these are too small to detect moderate treatment effects. Consequently, interventions that are commonly used by nephrologists have not been adequately tested and some may be ineffective or harmful. More randomized trials are urgently needed to address important clinical questions in patients with kidney disease. The use of robust surrogate markers may accelerate early-phase drug development. However, scientific innovations in trial conduct developed by other specialties should also be adopted to improve trial quality and enable more, larger trials in kidney disease to be completed in the current era of burdensome regulation and escalating research costs. Examples of such innovations include utilizing routinely collected health-care data and disease-specific registries to identify and invite potential trial participants, and for long-term follow-up; use of prescreening to facilitate rapid recruitment of participants; use of pre-randomization run-in periods to improve participant adherence and assess responses to study interventions prior to randomization; and appropriate use of statistics to monitor studies and analyse their results. Nephrology is well positioned to harness such innovations due to its advanced use of electronic health-care records and the development of disease-specific registries. Adopting a population approach and efficient trial conduct along with challenging unscientific regulation may increase the number of definitive clinical trials in nephrology and improve the care of current and future patients.
Keyphrases
- clinical trial
- phase iii
- phase ii
- healthcare
- study protocol
- open label
- end stage renal disease
- newly diagnosed
- physical activity
- chronic kidney disease
- ejection fraction
- palliative care
- quality improvement
- type diabetes
- randomized controlled trial
- radiation therapy
- squamous cell carcinoma
- electronic health record
- double blind
- chronic pain
- prognostic factors
- peritoneal dialysis
- machine learning
- patient reported
- pain management
- patient reported outcomes
- risk assessment
- locally advanced
- health insurance
- insulin resistance
- artificial intelligence
- placebo controlled
- case control