Evidence map›Paper›PMID 36717370›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank.

Liang Dai, Xiao-Yan Huang, Yue-Qi Lu, Yu-Yang Liu, Cong-Ying Song, Jing-Wen Zhang, Jing Li, Yue Zhang, Ying Shan, Yu Shi

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

10 authors.

Liang DaiClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.ORCID 0000-0003-1053-7189
Xiao-Yan HuangClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
Yue-Qi LuBGI-Shenzhen, Shenzhen, China.
Yu-Yang LiuBGI-Shenzhen, Shenzhen, China.
Cong-Ying SongClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
Jing-Wen ZhangRenal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China.
Jing LiClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
Yue ZhangRenal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China.
Ying ShanClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
Yu ShiDepartment of Ultrasound, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.

Funding

General Program for Clinical Research at Peking University Shenzhen Hospital LCYJ2020001Medical Research Council MC_PC_17228Medical Research Council MC_QA137853National Natural Science Foundation of China 8220120355San-Ming Project of Medicine, Shenzhen SZSM201812097Scientific Research Foundation of Peking University Shenzhen Hospital KYQD2022203Shenzhen Science and Technology Innovation Commission JCYJ20200109140412476
6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) is the gold standard for evaluating body composition. However, the reference ranges have not been established.

methodsThree lean tissue and seven adipose tissue parameters based on MRI data from the UK Biobank were used in this study. Participants with European ancestry and data on at least one parameter were screened. Age- and sex-specific percentile curves were generated using the lambda-mu-sigma method. Three levels of reference ranges were provided, which were equivalent to the mean ± 1 standard deviation (SD), 2 SDs and 2.5 SDs.

resultsThe final analysis set for each parameter ranged from 4842 to 14 148 participants (53.4%-56.6% women) with a median age of 61. For lean tissue parameters, compared with those at age 45, the median total lean tissue volume and total thigh fat-free muscle volume at age 70 were 2.83 and 1.73 L, and 3.02 and 1.51 L lower in men and women, respectively. The median weight-to-muscle ratios at age 45 were 0.51 and 0.83 kg/L lower compared with those at age 70 in men and women, respectively. Adipose tissue parameters showed inconsistent differences. In men, the median muscle fat infiltration, visceral adipose tissue (VAT) volume, total abdominal adipose tissue index and abdominal fat ratio were 1.48%, 0.32 L, 0.08 L/m

conclusionsWe have established reference ranges for MRI-measured body composition parameters in a large community-dwelling population. These findings provide a more accurate assessment of abnormal adipose and muscle conditions.

Indexed as

Biological Specimen BanksBody CompositionAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMuscle, SkeletalReference ValuesUnited KingdomAbdominal body compositionLambda-mu-sigma methodMagnetic resonance imagingReference ranges

Identifiers

PMID36717370
PMCPMC10067500

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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.