Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Factors associated with pain after non-surgical treatment for trapeziometacarpal joint osteoarthritis.

The Journal of hand surgery, European volume·2026

Same author

Factors associated with response to patient-reported outcome measures: a systematic review of systematic and scoping reviews, and meta-analyses.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026

Same author

Accuracy of Machine Learning to Predict Upper-Limb Outcome Within the First 72 Hours Poststroke.

Stroke·2026

Same author

What Is the Interversion Reliability and Agreement Between the Decision Tree Patient-rated Wrist Evaluation and the Full-length Version?

Clinical orthopaedics and related research·2026

Same author

Appropriate use recommendations for digital technology in cognitive telerehabilitation for people living with Parkinson's disease.

Disability and rehabilitation. Assistive technology·2026

Same author

A shorter, algorithm-based Michigan Hand Outcomes questionnaire remains valid for outcome assessment in hand patients.

The Journal of hand surgery, European volume·2026

Search research articles

Related Experiment Video

Updated: Jan 17, 2026

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

Prognostic Targeting Improves Statistical Power and Efficiency in Randomized Controlled Trials in Upper Extremity

A J Langerak¹, G J van der Gun¹, C G M Meskers²

¹Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Neurorehabilitation and Neural Repair

|September 22, 2025

Summary

Prognostic targeting in early stroke trials significantly reduces required sample sizes and boosts efficiency for upper extremity recovery. This method enhances statistical power, making research more effective for stroke rehabilitation studies.

Keywords:

efficiency prognosis prognostic targeting randomized controlled trials rehabilitation sample size stroke

More Related Videos

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Published on: December 29, 2023

Related Experiment Videos

Last Updated: Jan 17, 2026

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Published on: December 29, 2023

Area of Science:

Neuroscience
Rehabilitation Medicine
Clinical Trials

Background:

Randomized Controlled Trials (RCTs) are crucial for evaluating interventions for upper extremity capacity post-stroke.
Heterogeneity in stroke recovery often leads to underpowered RCTs, necessitating larger sample sizes.
Prognostic targeting offers a strategy to potentially reduce sample sizes while maintaining statistical power.

Purpose of the Study:

To investigate the impact of prognostic targeting on sample size requirements for early post-stroke Randomized Controlled Trials (RCTs).
To assess the effect of prognostic targeting on statistical power (70%-90%) in trials measuring upper extremity capacity using the Action Research Arm Test (ARAT).

Main Methods:

Pooled data from 372 patients across 4 prospective cohort studies, with assessments from 1 week to 6 months post-stroke.
Generated synthetic 6-month ARAT outcomes and performed cross-sectional and longitudinal analyses.
Calculated statistical power and trial efficiency with and without prognostic targeting based on a predictive model.

Main Results:

Prognostic targeting within 3 weeks post-stroke theoretically decreased required sample size by up to 56%.
Trial efficiency improved by 40-45% for detecting a 6-point ARAT difference at 6 months.
Targeted trials required 220-360 patients versus 470-820 in non-targeted trials for 70%-90% power, with benefits seen in longitudinal analyses.

Conclusions:

Prognostic targeting enhances statistical power and efficiency in early post-stroke upper extremity trials using ARAT.
The study strongly recommends the implementation of prognostic targeting in future stroke rehabilitation and recovery research.
This approach optimizes resource allocation and accelerates the evaluation of novel interventions.