Prognostic Targeting Improves Statistical Power and Efficiency in Randomized Controlled Trials in Upper Extremity Stroke Rehabilitation.
A J Langerak, G J van der Gun, C G M Meskers and 4 others
PMID 40980902WHAT IT FOUND
Simulating stroke trials showed that selecting patients likely to improve reduced the needed sample size by up to 56% and shortened study duration by 40% to 45%.
This approach relies on accurate prediction models to identify those with recovery potential.
Key findings
01Prognostic targeting reduced the required sample size for 80% statistical power from 560 to 270 patients.
02Targeted trials had a theoretical 40% decrease in study duration compared to non-targeted trials.
03Longitudinal analysis of targeted trials showed larger treatment effect sizes and smaller P-values than non-targeted trials.
STILL TO COME
How it was doneWhat they found
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
This is a simulation study, not a clinical trial, so it does not test if a specific therapy works. The prediction model used had low specificity (0.43), meaning it incorrectly classified many patients as having poor recovery when they actually had good recovery. The study assumed a uniform treatment effect that increases linearly over time, which may not reflect real-world variability in patient response. Dropouts were not accounted for in the sample size calculations.
Declared interests
The authors declared no conflicts of interest. The research was funded by ZonMw (Grant N-10-10400-98-18055).
The easy way to misread this
Do not interpret this as evidence that a specific therapy is more effective for patients with lower predicted recovery. This study only demonstrates that selecting patients based on prognosis makes it easier and faster to *detect* a treatment effect in a research setting; it does not evaluate clinical outcomes for patients.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →