Trial reportBMC neurology2025
A novel real-time assistive hip-wearable exoskeleton robot based on motion prediction for lower extremity rehabilitation in subacute stroke: a single-blinded, randomized controlled trial.
Trial report in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of wearable devices on gait, balance, and motor function in people with Parkinson's disease: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Design and Performance Evaluation of Unpowered Hip-Assisted Exoskeletons.Biomimetics (Basel, Switzerland) · 2026Article
- Integrative Rehabilitation for War-Related Polytrauma: A Narrative Review of Multidimensional Strategies and Implementation Challenges.Healthcare (Basel, Switzerland) · 2026Review
- Diff-MomentFormer: Generative Diffusion-Augmented Transformer for End-to-End Joint Moment Estimation.Sensors (Basel, Switzerland) · 2026Article
- Recent research on rehabilitation interventions for post-stroke gait and balance in low- and middle-income countries: a scoping review.BMC health services research · 2026Article
- Application of musculoskeletal ultrasound in quantitative assessment and rehabilitation of lower leg muscles in stroke patients.Frontiers in neurology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundA novel real-time assistive hip-wearable exoskeleton robot is developed based on motion prediction for stroke patients, however its rehabilitation efficacy is not yet clear.This study aimed to explore the effect of this robot on lower extremity rehabilitation in subacute stroke patients, focusing on gait function, with lower limb motor impairment, and balance being considered secondary outcomes.
methodsThe investigation enrolled 40 subacute stroke patients, randomly assigned to two groups: the robot-assisted gait training(RAGT) group and a control group.The control group underwent conventional rehabilitation and therapist-assisted gait training, while the RAGT group received conventional therapy supplemented with robot-assisted training. Each group participated in the intervention five days a week for four weeks.The primary outcomes comprised gait kinematics(hip-knee-ankle angles), kinetics[peak vertical ground reaction force(vGRF)], and spatiotemporal parameters. Asymmetry in gait kinematic and kinetic variables was calculated using the asymmetry index(ASI). Secondary outcomes included the Fugl-Meyer Assessment for Lower Extremity Scale(FMA-LE), the Berg Balance Scale(BBS), and the Timed Up and Go Test(TUGT). All measures were evaluated at baseline and at four weeks post-intervention.
resultsWith respect to primary outcomes, the RAGT group exhibited marked improvements in gait speed, cadence, peak hip flexion/extension and knee flexion in both limbs, and in peak vGRF on the paretic side pre- and post-intervention. Post-intervention between-group comparisons revealed that the RAGT group achieved higher gait speed, cadence, step length, peak hip flexion/extension and peak knee flexion in both lower limbs, and peak vGRF on the paretic side than the control group(P<0.05). Additionally, the RAGT group exhibited significantly lower ASI values for peak hip flexion/extension, peak knee flexion, and peak vGRF post-intervention compared to controls(P<0.05). Regarding secondary outcomes, both groups showed significant improvements in FMA-LE and BBS scores from pre- to post-intervention(P<0.05).Furthermore, post-intervention analyses indicated that the RAGT group outperformed the control group on the FMA-LE, BBS, and TUGT measures (P<0.05).
conclusionThe novel real-time assistive hip-wearable exoskeleton robot based on motion prediction is effective for improving gait function, lower limb motor impairment and balance ability in subacute stroke patients.
trial registrationwww.chictr.org.cn (registrationnumber: ChiCTR2300074562). Registration date: 09/08/2023.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.