Evidence map›Paper›PMID 29546057›Full record

SynthesisBioMed research international2018

Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.

Ji-Eun Cho, Jun Sang Yoo, Kyoung Eun Kim, Sung Tae Cho, Woo Seok Jang, Ki Hun Cho, Wan-Hee Lee

Registry-linked trialOpen access · hybridAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04154514 (A Wearable for Post-stroke Rehabilitative Multi-muscle Stimulation Inspired by the Natural Organization of Neuromuscular Control), which is not on this map. Cited by 31 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 5 pooled it
5.0field-weighted citation impact, top 4% of its field
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.

NCT04154514 nacompletednot on this mapstarted 2019, after this paper: background citation

A Wearable for Post-stroke Rehabilitative Multi-muscle Stimulation Inspired by the Natural Organization of Neuromuscular Control

TypeinterventionalSponsorChinese University of Hong KongRan2019 to 2025Enrolled53ConditionsChronic StrokeArmsA functional electrical stimulation device for post-stroke rehabilitation
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 5 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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  19. The effect of the LokomatFrontiers in neurology · 2023
    Review
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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

7 authors at 2 institutions in 1 country.

Ji-Eun ChoDepartment of Physical Therapy, Graduate School, Sahmyook University, Seoul, Republic of Korea.ORCID 0000-0002-4816-9716
Jun Sang YooDepartment of Physical Therapy, Graduate School, Sahmyook University, Seoul, Republic of Korea.
Kyoung Eun KimDepartment of Physical Therapy, Graduate School, Sahmyook University, Seoul, Republic of Korea.
Sung Tae ChoDepartment of Physical Therapy, Graduate School, Sahmyook University, Seoul, Republic of Korea.
Woo Seok JangDepartment of Physical Therapy, Graduate School, Sahmyook University, Seoul, Republic of Korea.
Ki Hun ChoDepartment of Physical Therapy, Korea National University of Transportation, Chungcheongbuk-do, Republic of Korea.ORCID 0000-0001-6248-1768
Wan-Hee LeeDepartment of Physical Therapy, Sahmyook University College of Health Science, Seoul, Republic of Korea.ORCID 0000-0001-8030-4853
Sahmyook University · KRKorea National University of Transportation · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to critically evaluate the effects of robot-assisted gait training (RAGT) on gait-related function in patients with acute/subacute stroke. We conducted a systematic review of randomized controlled trials published between May 2012 and April 2016. This search included 334 articles (Cochrane, 51 articles; Embase, 175 articles; PubMed, 108 articles). Based on the inclusion and exclusion criteria, 7 studies were selected for this review. We performed a quality evaluation using the PEDro scale. In this review, 3 studies used an exoskeletal robot, and 4 studies used an end-effector robot as interventions. As a result, RAGT was found to be effective in improving walking ability in subacute stroke patients. Significant improvements in gait speed, functional ambulatory category, and Rivermead mobility index were found with RAGT compared with conventional physical therapy (

Indexed as

Exercise TherapyGaitGait Disorders, NeurologicHumansMalePhysical Therapy ModalitiesRoboticsStrokeStroke RehabilitationWalking

Identifiers

PMID29546057
PMCPMC5818914
OpenAlexW2785614146

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.