Evidence map›Paper›PMID 41280723›Full record

ReviewResearch (Washington, D.C.)2025

Applications of Robotic Exoskeletons as Motion-Assistive Systems in Cancer Rehabilitation.

Yisheng Chen, Guanghui Wu, Qiangqiang Wang, Ye Ding, Li Wu, Haojun Shi, Zijin Sun, Zemin Ou, Yunxuan Miao, Xiuhui Ji and 13 more

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

23 authors.

Yisheng ChenNingde Municipal Hospital of Ningde Normal University, Ningde, Fujian Province, China.
Guanghui WuNingde Municipal Hospital of Ningde Normal University, Ningde, Fujian Province, China.
Qiangqiang WangTongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ye DingYrobot Inc., Kunming, Yunnan, China.
Li WuState Key Laboratory of Primate Biomedical Research; Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, Yunnan 650500, China.
Haojun ShiFaculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau, MacauSAR, China.
Zijin SunBeijing University of Chinese Medicine, Beijing, China, Luoyang, Henang, China.
Zemin OuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Yunxuan MiaoHenan University of Science and Technology, Luoyang, Henang, China.
Xiuhui JiDepartment of Pediatrics, School of Pediatrics, Nanjing Medical University, Nanjing, China.
Ke WuKangwon National University, Gangwon-do, Korea.
Zhiwen LuoDepartment of Sports Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
Weijian ChenGuangzhou University of Chinese Medicine, Guangzhou 510405, Guangdong, China.
Zhijie ZhaoDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Chen HuaFaculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.
XianGuo FuNingde Municipal Hospital of Ningde Normal University, Ningde, Fujian Province, China.
Yazhen ZhangSchool of Physical Education, Ningde Normal University, Ningde, Fujian 352300, China.
Ruogu ChenAnimal Medicine, College of Life Sciences, Longyan University, Longyan, China.
Shiwei HeInstitute of Population Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, Fujian, China.
Lizhi LiDepartment of Pediatric Surgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian 350001, China.
Shiyi ChenDepartment of Sports Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
Lei HuangDepartment of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Lihua DaiEmergency and Intensive Care Unit, Shidong Hospital affiliated to University of Shanghai for Science and Technology, Shanghai, China.ORCID https://orcid.org/0009-0006-0581-112X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic exoskeletons have emerged as promising motion-assistive technologies to meet the growing demand for structured, personalized cancer rehabilitation. This review critically examines their application in enhancing functional recovery, alleviating cancer-related fatigue, and improving quality of life among cancer patients and survivors. We first outline current evidence-based exercise strategies in cancer rehabilitation, followed by an analysis of how robotic exoskeletons complement and extend these approaches by restoring mobility, strengthening musculature, and supporting psychological well-being. Additionally, we assess how well they combine with multimodal interventions like nutritional, psychological, and digital therapeutics and their benefits. The convergence of artificial intelligence, wearable sensors, and telemedicine is also reshaping the landscape of remote, adaptive rehabilitation. Despite encouraging preliminary data, widespread clinical adoption remains limited due to challenges related to cost, exoskeleton system accessibility, safety, and long-term efficacy. We call for large-scale clinical trials, interdisciplinary collaboration, and policy reforms to promote equitable access to robotic-assisted rehabilitation. Collectively, this review offers a comprehensive perspective on the technical principles, therapeutic potential, and future directions of robotic exoskeletons as innovative tools in cancer recovery.

Identifiers

PMID41280723
PMCPMC12635024

What Socratic 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 Socratic graph.