Evidence map›Paper›PMID 32076075›Full record

ArticleScientific reports2020

Association between Lower Extremity Skeletal Muscle Mass and Impaired Cognitive Function in Type 2 Diabetes.

Serena Low, Tze Pin Ng, Chin Leong Lim, Angela Moh, Su Fen Ang, Jiexun Wang, Kiat Sern Goh, Keven Ang, Wern Ee Tang, Pek Yee Kwan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  8. Nutrients · 2023
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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

13 authors at 5 institutions in 2 countries.

Serena LowDiabetes Centre, Admiralty Medical Centre, Singapore, Block 676, Level 4, Kampung Admiralty, Woodlands Drive 71, Singapore, 730676, Singapore.ORCID http://orcid.org/0000-0003-1716-0871
Tze Pin NgGerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System Tower Block, Level 9, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Chin Leong LimLee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, 11 Mandalay Road, Singapore, 308232, Singapore.ORCID http://orcid.org/0000-0002-3863-0994
Angela MohClinical Research Unit, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore, 768828, Singapore.
Su Fen AngClinical Research Unit, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore, 768828, Singapore.
Jiexun WangClinical Research Unit, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore, 768828, Singapore.
Kiat Sern GohDepartment of Geriatrics, Changi General Hospital, Singapore, 2 Simei Street 3, Singapore, 529889, Singapore.
Keven AngClinical Research Unit, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore, 768828, Singapore.
Wern Ee TangNational Healthcare Group Polyclinics, Singapore, 3 Fusionopolis Link, Nexus@one-north, South Tower, Singapore, 138543, Singapore.
Pek Yee KwanNational Healthcare Group Polyclinics, Singapore, 3 Fusionopolis Link, Nexus@one-north, South Tower, Singapore, 138543, Singapore.
Tavintharan SubramaniamDiabetes Centre, Admiralty Medical Centre, Singapore, Block 676, Level 4, Kampung Admiralty, Woodlands Drive 71, Singapore, 730676, Singapore.
Chee Fang SumDiabetes Centre, Admiralty Medical Centre, Singapore, Block 676, Level 4, Kampung Admiralty, Woodlands Drive 71, Singapore, 730676, Singapore.
Su Chi LimDiabetes Centre, Admiralty Medical Centre, Singapore, Block 676, Level 4, Kampung Admiralty, Woodlands Drive 71, Singapore, 730676, Singapore. lim.su.chi@ktph.com.sg.
Khoo Teck Puat Hospital · SGNational University of Singapore · SGSingHealth Polyclinics · SGChangi General Hospital · SGNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower extremity skeletal muscle mass (LESM) in Type 2 Diabetes (T2D) has been linked to adverse clinical events, but it is not known whether it is associated with cognitive difficulties. We conducted a cross-sectional study on 1,235 people (mean age 61.4 ± 8.0 years) with T2D under primary and secondary care in Singapore. Bioelectrical impedance analyses (BIA) measures of upper extremity skeletal muscle mass (UESM), LESM and appendicular skeletal muscle index (SMI) were related to the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) measures of cognition, in multiple linear regression. In multivariable models, tertile 1 LESM (b = -2.62 (-3.92 to -1.32)) and tertile 2 LESM (b = -1.73 (-2.73 to -0.73)), referenced to tertile 3) were significantly associated with decreased RBANS total score. Significant associations of LESM with cognitive domain performances were observed for tertile 1 (b = -3.75 (-5.98 to -1.52)) and tertile 2 (b = -1.98 (-3.69 to -0.27)) with immediate memory, and for tertile 1 (b = -3.05 (-4.86 to -1.24)) and tertile 2 (b = -1.87 (-3.25 to -0.48)) with delayed memory, and for tertile 1 (b = -2.99 (-5.30 to -0.68)) with visuospatial/constructional ability. Tertile 1 SMI (b = -1.94 (-3.79 to -0.08) and tertile 2 SMI (b = -1.75 (-3.14 to -0.37)) were also associated with delayed memory. There were no associations between UESM with cognitive performance. Lower LESM may be a useful marker of possible co-occuring cognitive dysfunction.

Indexed as

AgedBody CompositionCognitionCognitive DysfunctionCross-Sectional StudiesDiabetes Mellitus, Type 2Electric ImpedanceFemaleHumansLower ExtremityMaleMiddle AgedMuscle, SkeletalNeuropsychological TestsSarcopeniaSingapore

Identifiers

PMID32076075
PMCPMC7031513
OpenAlexW3007711640

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.