Evidence map›Paper›PMID 40422167›Full record

ReviewBiomimetics (Basel, Switzerland)2025

A Review of Wearable Back-Support Exoskeletons for Preventing Work-Related Musculoskeletal Disorders.

Yanping Qu, Xupeng Wang, Xinyao Tang, Xiaoyi Liu, Yuyang Hao, Xinyi Zhang, Hongyan Liu, Xinran Cheng

Abstract readReview
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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.

Yanping QuSchool of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.
Xupeng WangSchool of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China.
Xinyao TangIndustrial Design Department, Xi'an University of Technology, Xi'an 710048, China.ORCID 0000-0003-4730-4426
Xiaoyi LiuIndustrial Design Department, Xi'an University of Technology, Xi'an 710048, China.
Yuyang HaoIndustrial Design Department, Xi'an University of Technology, Xi'an 710048, China.
Xinyi ZhangIndustrial Design Department, Xi'an University of Technology, Xi'an 710048, China.
Hongyan LiuIndustrial Design Department, Xi'an University of Technology, Xi'an 710048, China.
Xinran ChengIndustrial Design Department, Xi'an University of Technology, Xi'an 710048, China.

Funding

Ministry of education Youth Fund Project 21XJC760003Outstanding Talents Support Program Project 106-451420001Xi'an University of Technology Doctoral Initiation Fund 106-451124018
6 · The paper itself

Abstract

Long-term manual material handling (MMH) work leads to the trend of the younger onset of work-related musculoskeletal disorders (WMSDs), with low back pain (LBP) being the most common, which causes great trouble for both society and patients. To effectively prevent LBP and provide support for workers engaged in MMH work, wearable lumbar assistive exoskeletons have played a key role in industrial scenarios. This paper divides wearable lumbar assistive exoskeletons into powered, unpowered, and quasi-passive types, systematically reviews the research status of each type of exoskeleton, and compares and discusses the key factors such as driving mode, mechanical structure, control strategy, performance evaluation, and human-machine interaction. It is found that many studies focus on the assistive performance, human-machine coupling coordination, and adaptability of wearable lumbar assistive exoskeletons. At the same time, the analysis results show that there are many types of performance evaluation indicators, but a unified and standardized evaluation method and system are still lacking. This paper analyzes current research findings, identifies existing issues, and provides recommendations for future research. This study provides a theoretical basis and design ideas for the development of wearable lumbar assistive exoskeleton systems.

Indexed as

low back painlumbar spine assistancemanual material handlingwearable exoskeletonwork-related musculoskeletal disorders

Identifiers

PMID40422167
PMCPMC12108747

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.