Evidence map›Paper›PMID 34368358›Full record

ArticleBioMed research international2021

The Effect of Applying Robot-Assisted Task-Oriented Training Using Human-Robot Collaborative Interaction Force Control Technology on Upper Limb Function in Stroke Patients: Preliminary Findings.

Qingming Qu, Yingnan Lin, Zhijie He, Jianghong Fu, Fei Zou, Zewu Jiang, Fengxian Guo, Jie Jia

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Overview of the role of robots in upper limb disabilities rehabilitation: a scoping review.Archives of public health = Archives belges de sante publique · 2023
    Article
  10. 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

8 authors at 1 institution in 1 country.

Qingming QuDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, China.ORCID https://orcid.org/0000-0002-7826-0844
Yingnan LinDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, China.ORCID https://orcid.org/0000-0001-8434-7869
Zhijie HeDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, China.ORCID https://orcid.org/0000-0002-3237-4539
Jianghong FuDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, China.ORCID https://orcid.org/0000-0003-3982-3138
Fei ZouDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, China.ORCID https://orcid.org/0000-0003-0129-1498
Zewu JiangDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, China.
Fengxian GuoShanghai Electric GeniKIT Medical Science and Technology Co. Ltd., Shanghai, China.
Jie JiaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, China.ORCID https://orcid.org/0000-0002-4516-4629
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is one of the leading causes of death and the primary cause of acquired disability worldwide. Many stroke survivors have difficulty using their upper limbs, which have important functional roles in the performance of daily life activities. Consequently, the independence and quality of life of most stroke patients are reduced. Robot-assisted therapy is an effective intervention for improving the upper limb function of individuals with stroke. Human-robot collaborative interaction force control technology is critical for improving the flexibility and followability of the robot's motion, thereby improving rehabilitation training outcomes. However, there are few reports on the effect of robot-assisted rehabilitative training on upper limb function. We applied this technology using a robot to assist patients with task-oriented training. Posttreatment changes in Fugl-Meyer and modified Barthel index (MBI) scores were assessed to determine whether this technology could improve the upper limb function of stroke patients. One healthy adult and five stroke patients, respectively, participated in functional and clinical experiments. The MBI and Fugl-Meyer scores of the five patients in the clinical experiments showed significant improvements after the intervention. The experimental results indicate that human-robot collaborative interaction force control technology is valuable for improving robots' properties and patients' recovery. This trial was registered in the Chinese clinical trial registry (ChiCTR2000038676).

Indexed as

RoboticsTask Performance and AnalysisAgedFemaleHumansMaleMiddle AgedStrokeStroke RehabilitationUpper Extremity

Identifiers

PMID34368358
PMCPMC8342143
OpenAlexW3184487988

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.