Evidence map›Paper›PMID 38259875›Full record

ArticleFrontiers in rehabilitation sciences2023

Personalized robots for long-term telerehabilitation after stroke: a perspective on technological readiness and clinical translation.

Yanhuan Huang, Bibo Yang, Thomson Wai-Lung Wong, Shamay S M Ng, Xiaoling Hu

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Observational
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

5 authors.

Yanhuan HuangDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Bibo YangDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Thomson Wai-Lung WongDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Shamay S M NgDepartment of Rehabilitation Sciences, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Xiaoling HuDepartment of Biomedical Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke rehabilitation, which demands consistent, intensive, and adaptable intervention in the long term, faced significant challenges due to the COVID-19 pandemic. During this time, telerehabilitation emerged as a noteworthy complement to traditional rehabilitation services, offering the convenience of at-home care delivery and overcoming geographical and resource limitations. Self-help rehabilitation robots deliver repetitive and intensive physical assistance, thereby alleviating the labor burden. However, robots have rarely demonstrated long-term readiness for poststroke telerehabilitation services. The transition from research trials to general clinical services presents several challenges that may undermine the rehabilitative gains observed in these studies. This perspective discusses the technological readiness of personal use robots in the context of telerehabilitation and identifies the potential challenges for their clinical translation. The goal is to leverage technology to seamlessly integrate it into standard clinical workflows, ultimately enhancing the outcomes of stroke rehabilitation.

Indexed as

clinical translationlong-term telerehabilitationpersonalized robotstroketechnological readiness

Identifiers

PMID38259875
PMCPMC10800453

What OpenQuestion holds

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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.