Evidence map›Paper›PMID 38235476›Full record

ArticleFrontiers in neuroergonomics2022

Functional and neuromuscular changes induced

Octavio Marin-Pardo, Miranda Rennie Donnelly, Coralie S Phanord, Kira Wong, Jessica Pan, Sook-Lei Liew

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroergonomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Pre-Implementation Analysis of the Usability and Acceptability of a Poststroke Complex Telehealth Biofeedback Intervention.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2024
    Article
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Octavio Marin-PardoDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.
Miranda Rennie DonnellyChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, United States.
Coralie S PhanordChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, United States.
Kira WongChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, United States.
Jessica PanDornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, United States.
Sook-Lei LiewDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is a leading cause of adult disability in the United States. High doses of repeated task-specific practice have shown promising results in restoring upper limb function in chronic stroke. However, it is currently challenging to provide such doses in clinical practice. At-home telerehabilitation supervised by a clinician is a potential solution to provide higher-dose interventions. However, telerehabilitation systems developed for repeated task-specific practice typically require a minimum level of active movement. Therefore, severely impaired people necessitate alternative therapeutic approaches. Measurement and feedback of electrical muscle activity

Indexed as

biofeedbackelectromyographyhuman-computer interfacestroketelerehabilitation

Identifiers

PMID38235476
PMCPMC10790881
OpenAlexW4309607771

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.