Evidence map›Paper›PMID 33997304›Full record

ArticleOsteoporosis and sarcopenia2021

The effect of different measurement modalities in the association of lean mass with mortality: A systematic review and meta-analysis.

Gloria Hoi-Yee Li, Grace Koon-Yee Lee, Philip Chun-Ming Au, Marcus Chan, Hang-Long Li, Bernard Man-Yung Cheung, Ian Chi-Kei Wong, Victor Ho-Fun Lee, James Mok, Benjamin Hon-Kei Yip and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Osteoporosis and sarcopenia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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 3 countries.

Gloria Hoi-Yee LiDepartment of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong.
Grace Koon-Yee LeeDepartment of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong.
Philip Chun-Ming AuDepartment of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong.
Marcus ChanLi Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Hang-Long LiLi Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Bernard Man-Yung CheungDepartment of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Ian Chi-Kei WongDepartment of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong.
Victor Ho-Fun LeeDepartment of Clinical Oncology, The University of Hong Kong, Pokfulam, Hong Kong.
James MokLi Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Benjamin Hon-Kei YipJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong.
Kenneth King-Yip ChengDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Chih-Hsing WuDepartment of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Ching-Lung CheungDepartment of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong.
University of Hong Kong · HKChinese University of Hong Kong · HKHong Kong Polytechnic University · HKNational Cheng Kung University Hospital · TWQueen Mary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLean mass is commonly measured by 3 modalities, dual energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA), and computerized tomography (CT). CT is considered the most accurate, while lean mass measured by DXA and BIA often consists of non-muscle compartment, and hence considered less accurate when compared with CT. It remains unclear if the association of lean mass with mortality would differ using different measurement modalities.

methodsA systematic review and meta-analysis of lean mass and mortality was conducted. The analysis was stratified by different measurement modalities and health conditions. Pooled hazard ratios were estimated using a random effects model.

resultsThis meta-analysis included 188 studies with 98 468 participants. Reduced lean mass measured by BIA, DXA, and CT, was associated with increased risk of mortality with a hazard ratio (HR) of 1.35 (95% CI, 1.21-1.49), 1.18 (95% CI, 1.06-1.30), and 1.44 (95% CI, 1.32-1.57), respectively. Similarly, low lean mass defined by BIA-, DXA-, and CT-measurement was associated with increased risk of mortality, with an HR of 1.81 (95% CI, 1.56-2.10), 1.44 (95% CI, 1.29-1.60), and 1.78 (95% CI, 1.64-1.93).

conclusionsReduced and low lean mass were robustly associated with increased mortality in studies using different measurement modalities.

Indexed as

BIACTDXALean massMortality

Identifiers

PMID33997304
PMCPMC8088995
OpenAlexW3139470281

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.