Evidence map›Paper›PMID 29867714›Full record

ArticleFrontiers in neurology2018

Assessing Hand Muscle Structural Modifications in Chronic Stroke.

Ya Zong, Henry H Shin, Ying-Chih Wang, Sheng Li, Ping Zhou, Xiaoyan Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2018. 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
0.8field-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, 10 citations in OpenAlex.

  1. Article
  2. 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 3 institutions in 2 countries.

Ya ZongRuijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Henry H ShinDepartment of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, TIRR Memorial Hermann Research Center, Houston, TX, United States.
Ying-Chih WangDepartment of Occupational Science and Technology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States.
Sheng LiDepartment of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, TIRR Memorial Hermann Research Center, Houston, TX, United States.
Ping ZhouGuangdong Work Injury Rehabilitation Center, Guangzhou, China.
Xiaoyan LiDepartment of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, TIRR Memorial Hermann Research Center, Houston, TX, United States.
Memorial Hermann Institute for Rehabilitation and Research Foundation · USShanghai Jiao Tong University · CNUniversity of Wisconsin–Milwaukee · US

Funding

High Density Surface EMG Assessment of Motor Unit Alterations after StrokeR01NS080839 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHOU, PING · 2014 to 2017
$1.3M
NINDS NIH HHS R01 NS080839
6 · The paper itself

Abstract

The purpose of the study is to assess poststroke muscle structural alterations by examining muscular electrical conductivity and inherent electrophysiological properties. In particular, muscle impedance and compound muscle action potentials (CMAP) were measured from the hypothenar muscle bilaterally using the electrical impedance myography and the electrophysiological techniques, respectively. Significant changes of muscle impedance were observed in the paretic muscle compared with the contralateral side (resistance: paretic: 27.54 ± 0.97 Ω, contralateral: 25.46 ± 0.91 Ω,

Indexed as

compound muscle action potentialelectrical impedance myographyhandmusclestroke

Identifiers

PMID29867714
PMCPMC5953342
OpenAlexW2801629552

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.