Evidence map›Paper›PMID 29675142›Full record

SynthesisJournal of healthcare engineering2018

Reviewing Clinical Effectiveness of Active Training Strategies of Platform-Based Ankle Rehabilitation Robots.

Xiangfeng Zeng, Guoli Zhu, Mingming Zhang, Sheng Q Xie

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–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.

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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. State of the art in parallel ankle rehabilitation robot: a systematic review.Journal of neuroengineering and rehabilitation · 2021
    Pooled it
  3. Pooled it
  4. Article
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  8. 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

4 authors.

Xiangfeng ZengSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, China.ORCID 0000-0002-5433-4386
Guoli ZhuSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, China.ORCID 0000-0002-3020-2215
Mingming ZhangDepartment of Mechanical Engineering, University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0001-8016-1856
Sheng Q XieSchool of Mechanical Engineering and School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-8082-9112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This review aims to provide a systematical investigation of clinical effectiveness of active training strategies applied in platform-based ankle robots. Method: English-language studies published from Jan 1980 to Aug 2017 were searched from four databases using key words of "Ankle Result: A total of 21 studies were selected with 311 patients involved; of them, 13 studies applied a single group while another eight studies used different groups for comparison to verify the therapeutic effect. Virtual-reality (VR) game training was applied in 19 studies, while two studies used proprioceptive neuromuscular facilitation (PNF) training. Conclusion: Active training techniques delivered by platform ankle rehabilitation robots have been demonstrated with great potential for clinical applications. Training strategies are mostly combined with one another by considering rehabilitation schemes and motion ability of ankle joints. VR game environment has been commonly used with active ankle training. Bioelectrical signals integrated with VR game training can implement intelligent identification of movement intention and assessment. These further provide the foundation for advanced interactive training strategies that can lead to enhanced training safety and confidence for patients and better treatment efficacy.

Indexed as

Exoskeleton DevicePhysical Therapy ModalitiesRoboticsAnkleAnkle InjuriesHumans

Identifiers

PMID29675142
PMCPMC5838480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.