Evidence map›Paper›PMID 39387211›Full record

Trial reportThe Journal of international medical research2024

Improving patient outcomes in acute and subacute stroke using a wearable device-assisted rehabilitation system: a randomized controlled trial.

Hsin-Ju Ho, Li-Ching Wu, Eric Hsiao-Kung Wu, Shu-Fang Lee, Te-Hsiu Lee, Sheng-Hua Chiang, Chun-Hsiung Chen, Hui-Yu Chen, Shiuan-Jia Pan, Yu-Wei Chen and 1 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of international medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04997408 (The Cost-effectiveness Analysis of a Wearable Device-based Assisted Rehabilitation System for Discharged Patient With Stroke), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT04997408 nacompletednot on this map

The Cost-effectiveness Analysis of a Wearable Device-based Assisted Rehabilitation System for Discharged Patient With Stroke

TypeinterventionalSponsorLandseed HospitalRan2015 to 2018Enrolled140ConditionsPost-Acute-Stroke RehabilitationArmsCustomized exercise app, In-person therapist-supervised rehabilitation
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hsin-Ju HoDepartment of Biomedical Science and Engineering, National Central University, Taoyuan, Taiwan.ORCID 0000-0001-9755-1746
Li-Ching WuDepartment of Biomedical Science and Engineering, National Central University, Taoyuan, Taiwan.
Eric Hsiao-Kung WuDepartment of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan.
Shu-Fang LeeRehabilitation Therapy Center, Landseed International Hospital, Taoyuan, Taiwan.
Te-Hsiu LeeDepartment of Rehabilitation, Antai Medical Care Corporation Antai Tian-Sheng Memorial Hospital, Pingtung, Taiwan.
Sheng-Hua ChiangRehabilitation Therapy Center, Landseed International Hospital, Taoyuan, Taiwan.
Chun-Hsiung ChenRehabilitation Therapy Center, Landseed International Hospital, Taoyuan, Taiwan.
Hui-Yu ChenDepartment of Rehabilitation, Antai Medical Care Corporation Antai Tian-Sheng Memorial Hospital, Pingtung, Taiwan.
Shiuan-Jia PanDepartment of Rehabilitation, Antai Medical Care Corporation Antai Tian-Sheng Memorial Hospital, Pingtung, Taiwan.
Yu-Wei ChenDepartment of Neurology, Landseed International Hospital, Taoyuan, Taiwan.
WEAR-Stroke Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMultidisciplinary rehabilitation facilitates post-stroke functional recovery, but is associated with resource and accessibility barriers. This study evaluated the combination of a wearable device-assisted system (WEAR) and conventional therapy for post-stroke rehabilitation.

methodsThis randomized, controlled, parallel group, clinical trial was conducted at two rehabilitation centers. A WEAR system was developed featuring sensors and application program-embedded smartphones. Stroke patients within 12 weeks of onset and modified Rankin Scale (mRS) scores of 2 to 4 were randomized into a wearable group (WG, WEAR + conventional rehabilitation) or control group (CG, conventional rehabilitation) for 90 days. The primary outcome was mRS score changes within 90 days.

resultsAmong 127 stroke patients enrolled (76 men [59.8%]; mean age: 57.5 years), 63 and 64 patients were randomized to WG and CG, respectively. Both groups showed significant improvements in mRS scores. Between-group repeated measures analysis adjusted for sex, age and number of rehabilitation sessions showed greater improvement in mRS scores within 90 days in the WG than in the CG (estimate: 0.73).

conclusionsThis combined WEAR and conventional rehabilitation approach may improve post-stroke functional recovery compared with conventional rehabilitation alone. The WEAR system permits remote monitoring and recording of rehabilitation in various settings.This clinical trial was retrospectively registered at www.clinicaltrials.gov with the Unique Identifier NCT04997408.

Indexed as

StrokeStroke RehabilitationWearable Electronic DevicesAdultAgedFemaleHumansMaleMiddle AgedRecovery of FunctionSmartphoneTreatment Outcomecustomized applicationdevice-assisted therapyfunctional recoveryrandomized controlled trialrehabilitationstrokeWearable rehabilitation system

Identifiers

PMID39387211
PMCPMC11468635

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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 OpenQuestion graph.