Evidence map›Paper›PMID 36187255›Full record

ArticleBiomedical optics express2022

Age-related difference in muscle metabolism patterns during upper limb's encircling exercise: a near-infrared spectroscopy study.

Hucheng Chen, Jianbin Liang, Wenzhu Huang, Anping Yang, Richong Pang, Chaochao Zhao, Kai Wu, Chong Wang, Kecheng Yan, YiZheng Zhang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

14 authors.

Hucheng ChenSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
Jianbin LiangSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
Wenzhu HuangFifth Affiliated Hospital of Foshan University, Foshan, China.
Anping YangSchool of Medicine, Foshan University, Foshan, China.
Richong PangSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
Chaochao ZhaoSchool of Medicine, Foshan University, Foshan, China.
Kai WuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou, China.
Chong WangSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
Kecheng YanSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
YiZheng ZhangSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
Shuoshu LinSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
Yuanrong XieSchool of Mechatronic Engineering and Automation, Foshan University, Foshan, China.
Yuxiang WuDepartment of Health and Physical Education, Jianghan University, Wuhan, China.
Jinyan SunSchool of Medicine, Foshan University, Foshan, China.ORCID https://orcid.org/0000-0002-4620-6229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is usually accompanied by decrease in limb motor function and change in muscle metabolism patterns. However, few studies have investigated the aging effect on muscle hemodynamics of the upper extremity. This study aims to explore the aging effect on muscle metabolism patterns during upper limb's exercise. Twelve middle-aged and elderly subjects and 12 young subjects were recruited, and muscle oxygenation signals from these subjects' biceps brachii muscles were collected during active and passive upper limb's encircling exercise with near-infrared spectroscopy (NIRS). The old group showed stronger muscle hemodynamic metabolism than the young group. The multiscale fuzzy approximate entropy and multiscale transfer entropy analyses indicated higher complexity and stronger interlimb coupling of the muscle oxygenation signals for the old group. Based on the selected muscle metabolism features, the constructed support vector machine model showed a high accuracy rate for classifying the two groups of subjects: 91.6% for the passive mode and 87.5% for the active mode. Our results proved the specific muscle metabolism patterns in the upper limb's exercise for old subjects, promoting the understanding of the aging effect on muscle hemodynamics.

Identifiers

PMID36187255
PMCPMC9484442

What Socratic holds

Textmetadata
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.