AI CuratorAI-generated
Research summary · AI summary · not yet reviewedSubjects not reportedNot reportedPeer review unconfirmed
Progressive Resistance Training (PRT) Effects on Strength and Walk Velocity in Unknown Subjects
The study identified predictors for change in strength and walk velocity following progressive resistance training. Factors such as baseline metrics, diagnosis, age, and cognitive performance were shown to influence outcomes.
- Tags
- #MSResearch
- Most relevant to
- —
This plain-English summary was written by AI from a published abstract and may contain errors. It is not medical advice. Read the original study and talk to your MS team before making decisions about treatment.
- Human efficacy
- Not yet assessed
- Mechanism
- Not yet assessed
- Evidence strength
- Not yet assessed
- Outcome
- Not yet assessed
Why it matters
Understanding the predictors can help tailor future interventions aimed at improving strength and mobility, which is crucial for patient quality of life.
What this does not prove
The predictive accuracy lacked external validation, leaving uncertainty about the reliability of the findings in different populations.
Next milestone
No next milestone was established from the available source.
Study facts
- Study design
- Not reported
- Participants / samples
- Not reported
- Randomised
- Not reported
- Controlled
- Not reported
- Primary endpoint met
- Not reported
- Relevant MS type
- Not reported
- Publication date
- 2026-10-12
- Evidence reviewed
- Abstract only
- Regulatory approval
- Not reported
- Research areas
- Not classified
Original sources
- Primary evidenceWalking and strength outcomes of targeted hip resistance training may be predicted by both MRI and clinical measures in multiple sclerosis. ↗DOI: 10.1016/j.msard.2026.107970
Supporting passages (6)
interventionProgressive resistance training (PRT)
primary endpointPrimary outcomes were change in walk velocity and hip strength.
findingsRESULTS: Strength change predictors included baseline strength, diagnosis, age, disease severity, falls, cognitive performance, quality of life, vibration, and CST (FA, MD, and MTR) (normalized MSE: 0.1792).
findingsWalk velocity change predictors included baseline walk velocity, age, disease severity, sex, cognitive performance, vibration, and CST (FA, MD, and MTR) (normalized MSE: 0.2147).
limitationsThe predictive accuracy was measured using the normalized mean squared error (MSE) within a leave-one-out cross-validation procedure, but was not externally validated.
publication datePublication date: 2026-10-12
AI assessment, not yet reviewed by a person · version 1 · Community votes are separate from evidence review.