Evidence map›Paper›PMID 36121640›Full record

ArticleAging clinical and experimental research2022

Correlation between parameters related to sarcopenia and gray matter volume in patients with mild to moderate Alzheimer's disease.

Shanwen Liu, Yu Zhang, Bo Peng, Chunying Pang, Meng Li, Jiangtao Zhu, Chun-Feng Liu, Hua Hu

Abstract read
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In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 3 institutions in 1 country.

Shanwen LiuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.ORCID https://orcid.org/0000-0002-8407-6947
Yu ZhangSchool of Life Sciences and Technology, Changchun University of Science and Technology, Changchun, 130012, China.
Bo PengSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China.
Chunying PangSchool of Life Sciences and Technology, Changchun University of Science and Technology, Changchun, 130012, China.
Meng LiDepartment of Imaging, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
Jiangtao ZhuDepartment of Imaging, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
Chun-Feng LiuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
Hua HuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China. sz_huhua@126.com.ORCID http://orcid.org/0000-0001-7994-7827
Soochow University · CNChangchun University of Science and Technology · CNChinese Academy of Sciences · CN

Funding

Application of Clinical Technology in Elderly Health Research Project in Jiangsu Province LD2021031Application of Science and Technology of Minsheng Technology in Suzhou SYSD2019109
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a neurodegenerative disease characterized by brain atrophy and closely correlated with sarcopenia. Mounting studies indicate that parameters related to sarcopenia are associated with AD, but some results show inconsistent. Furthermore, the association between the parameters related to sarcopenia and gray matter volume (GMV) has rarely been explored.

aimTo investigate the correlation between parameters related to sarcopenia and cerebral GMV in AD.

methodsDemographics, neuropsychological tests, parameters related to sarcopenia, and magnetic resonance imaging (MRI) scans were collected from 42 patients with AD and 40 normal controls (NC). Parameters related to sarcopenia include appendicular skeletal muscle mass index (ASMI), grip strength, 5-times sit-to-stand (5-STS) time and 6-m gait speed. The GMV of each cerebral region of interest (ROI) and the intracranial volume were calculated by computing the numbers of the voxels in the specific region based on MRI data. Partial correlation and multivariate stepwise linear regression analysis explored the correlation between different inter-group GMV ratios in ROIs and parameters related to sarcopenia, adjusting for covariates.

resultsThe 82 participants included 40 NC aged 70.13 ± 5.94 years, 24 mild AD patients aged 73.54 ± 8.27 years and 18 moderate AD patients aged 71.67 ± 9.39 years. Multivariate stepwise linear regression showed that 5-STS time and gait speed were correlated with bilateral hippocampus volume ratios in total AD. Grip strength was associated with the GMV ratio of the left middle frontal gyrus in mild AD and the GMV ratios of the right superior temporal gyrus and right hippocampus in moderate AD. However, ASMI did not have a relationship to any cerebral GMV ratio.

conclusionsAmong parameters related to sarcopenia, 5-STS time and gait speed were associated with bilateral hippocampus volume ratios at different clinical stages of patients with AD. Five-STS time provide an objective basis for early screening and can help diagnose patients with AD.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesSarcopeniaBrainGray MatterHumansMagnetic Resonance ImagingNeuropsychological TestsAlzheimer's diseaseAppendicular skeletal muscle mass indexGray matter volumeMuscle strengthPhysical function

Identifiers

PMID36121640
OpenAlexW4296295776

What OpenQuestion holds

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Registered trials

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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.