Evidence map›Paper›PMID 35089234›Full record

ArticleMedicine2022

The improvement of the lower limb exoskeletons on the gait of patients with spinal cord injury: A protocol for systematic review and meta-analysis.

Xiali Xue, Xinwei Yang, Huan Tu, Wanna Liu, Dezhi Kong, Zhonghe Fan, Zhongyi Deng, Ning Li

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. 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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Exoskeletons: Contribution to Occupational Health and Safety.Bioengineering (Basel, Switzerland) · 2023
    Review
  6. Article
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

8 authors at 1 institution in 1 country.

Xiali XueInstitute of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.ORCID 0000-0003-0727-6459
Xinwei YangSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.ORCID 0000-0002-4419-5247
Huan TuInstitute of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.
Wanna LiuInstitute of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.
Dezhi KongInstitute of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.
Zhonghe FanInstitute of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.
Zhongyi DengInstitute of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.
Ning LiInstitute of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China.ORCID 0000-0002-0394-933
Chengdu Sport University · CN

Funding

Key Laboratory of Sports Medicine of Sichuan Province, Institute of Sports Medicine and Health, Chengdu Sport University 2022-A001
6 · The paper itself

Abstract

backgroundSpinal Cord Injury is a severely disabling disease. In the process of Spinal Cord Injury rehabilitation treatment, improving patients' walking ability, improving their self-care ability, and enhancing patients' self-esteem is an important aspect of their return to society, which can also reduce the cost of patients, so the rehabilitation of lower limbs is very important. The lower limb exoskeleton robot is a bionic robot designed according to the principles of robotics, mechanism, bionics, control theory, communication technology, and information processing technology, which can be worn on the lower limb of the human body and complete specific tasks under the user's control. The purpose of this study was to evaluate the effect of the lower limb exoskeleton on the improvement of gait function in patients with spinal cord injury.

methodsThe following electronic databases will be searched from inception to January 2022: PubMed, the Cochrane Library, Embase, Scopus, EBSCO, Web of Science, China National Knowledge Infrastructure, WanFang Data, Weipu Electronics. In addition, reference lists of the included studies were manually searched to identify additional relevant studies. Randomized controlled trials were collected to examine the effect of lower limb exoskeletons on lower limb functional recovery in spinal cord injury patients. We will consider inclusion, select high-quality articles for data extraction and analysis, and summarize the intervention effect of lower limb exoskeletons on the upper limb function of spinal cord injury patients. Two reviewers will screen titles, abstracts, and full texts independently according to inclusion criteria; Data extraction and risk of bias assessment were performed in the included studies. We will use a hierarchy of recommended assessment, development, and assessment methods to assess the overall certainty of the evidence and report findings accordingly. Endnote X8 will be applied in selecting the study, Review Manager 5.3 will be applied in analyzing and synthesizing.

resultsThe results will provide evidence for judging whether lower limb exoskeletons are effective and safe in improving lower limb function in patients with spinal cord injury.

conclusionOur study will provide reliable evidence for the effect of lower limb exoskeletons on the improvement of lower limb function in spinal cord injury patients. INPLASY REGISTRATION NUMBER: INPLASY202180095.

Indexed as

Exoskeleton DeviceGaitSpinal Cord InjuriesHumansLower ExtremityMeta-Analysis as TopicSystematic Reviews as Topic

Identifiers

PMID35089234
PMCPMC8797539
OpenAlexW4210573923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.