Physical Medicine

Network meta-analysis maps symptom-targeted rehab options in Parkinson’s disease

This network meta-analysis pooled 186 randomized trials including 8,202 Parkinson’s patients receiving medication plus one of 20 rehabilitation therapies. Traditional Chinese, exoskeleton-assisted, hydrotherapy, and conventional kinesitherapy significantly improved balance compared with control conditions. Mind-body exercise and non-invasive brain stimulation improved overall motor capacity and reduced freezing of gait, while resistance training and brain stimulation improved cognition. Mind-body exercise improved mood, and upper-limb and resistance training programs yielded notable quality-of-life benefits. Confidence in many estimates was low due to risk of bias and imprecision, and longer duration was not clearly better for cognition. These data support designing integrated, symptom-targeted rehab programs while counseling patients about substantial uncertainty in effect sizes. 1

PREP2 is most reliable at prognostic extremes for upper-limb stroke recovery

This prospective cohort validated PREP2 in routine clinical care for predicting 3‑month upper-limb outcomes in 83 acute stroke patients. Overall prediction accuracy was 66%, below the 70% threshold set for clinical validation. Accuracy was high for Excellent and Poor categories (80% and 100%), supporting confident early counseling at these extremes. Accuracy for the Good category was only 36%, particularly poor when TMS was required, limiting reliability for mid-range outcomes. Finger extension differentiated patients with Good predictions who did versus did not achieve favorable outcomes, suggesting a simple refinement. Clinicians can use PREP2 to anchor early expectations but should treat Good-category predictions cautiously and reassess with serial exams. 2

Four-item WMFT preserves psychometrics while shortening upper-limb stroke assessment

Using data from 543 stroke survivors across three trials, the authors derived a 4-item Wolf Motor Function Test via machine learning. Selected items were Hand to Table, Hand to Box, Extend Elbow Without Weight, and Lift Can, capturing transport and dexterity domains. The WMFT-4 showed very strong convergent validity with the full WMFT-15 (R = 0.98, P < .001). Correlations with the Fugl-Meyer Upper Extremity scale were similar for WMFT-4 and WMFT-15, and factor structures were comparable. This streamlined version greatly reduces administration time, making serial upper-limb monitoring more feasible in outpatient and research settings. 3

Global neurorehabilitation needs nearly doubled since 1990 and will keep rising

Using WHO Rehabilitation Need Estimator 2021 data, this analysis quantified worldwide neurorehabilitation needs and projected trends to 2036. In 2021, 225.38 million people had neurological disorders requiring rehabilitation, accounting for 52.35 million years lived with disability. From 1990 to 2021, prevalent cases and YLDs increased by about 97%, driven mainly by population growth and aging. Age-standardized prevalence and YLD rates also rose modestly and are projected to continue increasing. Low- and middle-income countries bear most of the burden, with stroke, cerebral palsy, and dementia as leading contributors. Findings support expanding neurorehabilitation capacity and integrating services into primary care, particularly in resource-limited settings. 4