Evidence map›Paper›PMID 35926440›Full record

ArticleJournal of neural engineering2022

Motor unit distribution and recruitment in spastic and non-spastic bilateral biceps brachii muscles of chronic stroke survivors.

Yang Liu, Yen-Ting Chen, Chuan Zhang, Ping Zhou, Sheng Li, Yingchun Zhang

Open access · greenAbstract read
In one paragraph

Article in Journal of neural engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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 3 institutions in 2 countries.

Yang LiuDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, United States of America.
Yen-Ting ChenDepartment of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, TX 77030, United States of America.
Chuan ZhangDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, United States of America.
Ping ZhouFaculty of Rehabilitation Engineering, University of Health and Rehabilitation Sciences, Qingdao 266024, People's Republic of China.ORCID 0000-0002-4394-2677
Sheng LiDepartment of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, TX 77030, United States of America.
Yingchun ZhangDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, United States of America.ORCID 0000-0002-1927-4103
University of Houston · USMemorial Hermann Institute for Rehabilitation and Research Foundation · USQingdao Eighth People's Hospital · CN

Funding

Imaging of 3D Innervation Zone Distribution in Spastic Muscles from High-Density Surface EMG RecordingsR21HD090453 · NICHD · UNIVERSITY OF HOUSTON · PI LI, SHENG, ZHANG, YINGCHUN · 2017 to 2018
$434k
Assessing multifactorial etiology of IC/BPS using a novel PFM-Hip-Trunk muscle network analysisR21NR020379 · NINR · UNIVERSITY OF HOUSTON · PI ZHANG, YINGCHUN · 2022 to 2022
$248k
NICHD NIH HHS R21 HD090453NINR NIH HHS R21 NR020379
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ArmStrokeElectromyographyHumansIsometric ContractionMuscle ContractionMuscle, SkeletalMuscle SpasticityRecruitment, NeurophysiologicalSurvivorsbiomedical source imagingdecompositionhigh-density surface electromyographyinnervation zonemotor unitstroke

Identifiers

PMID35926440
PMCPMC9526353
OpenAlexW4289969038

What OpenQuestion holds

Textmetadata
LicenceTDM
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.