Evidence map›Paper›PMID 37577042›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Associations of Relative Fat Mass, a Novel Adiposity Indicator, with Non-Alcoholic Fatty Liver Disease and Cardiovascular Disease: Data from SPECT-China.

Wenqi Shen, Lingli Cai, Bin Wang, Yuying Wang, Ningjian Wang, Yingli Lu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  4. Relative Fat Mass Associated with Hyperuricemia in Adults: A Cross-Sectional Study.Endocrine, metabolic & immune disorders drug targets · 2026
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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

6 authors at 1 institution in 1 country.

Wenqi Shen *Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Lingli Cai *Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Bin WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Yuying WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Ningjian WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Yingli LuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.ORCID 0000-0002-5117-1614
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to determine the associations of relative fat mass (RFM), a novel adiposity indicator, with the prevalence of non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD) and compared the disease discriminative ability of RFM with other common adiposity indicators in the general Chinese population. Patients and Methods: This cross-sectional study consisted of 11,532 adult participants from the SPECT-China study (2014-2016). We included RFM and six other adiposity indicators, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), visceral adiposity index (VAI), and lipid accumulation product (LAP). Binary logistic regression analysis was used to assess the relationship between adiposity indicators and the prevalence of NAFLD and CVD. The receiver operating characteristic (ROC) curve was used to evaluate the ability to screen NAFLD and CVD. Results: After adjusting for confounding variables, RFM showed a strong association with the prevalence of NAFLD and CVD. In men, each 1-SD (standard deviation) increase in RFM was associated with more than 3-fold increased risk of NAFLD (OR: 4.33, 95% CI: 3.79-4.93) and 66% increased risk of CVD (OR: 1.66, 95% CI: 1.36-2.02); in women, per 1-SD increase in RFM was associated with about 4-fold increased risk of NAFLD (OR: 5.16, 95% CI: 4.62-5.77) and 26% increased risk of CVD (OR: 1.26, 95% CI: 1.08-1.47). ROC analysis showed that RFM and WHtR were the strongest predictors for CVD. Conclusion: RFM was significantly associated with prevalent NAFLD and CVD in Chinese adults and might be considered a simple tool for disease prediction. Further large longitudinal studies are needed to verify our findings.

Indexed as

anthropometric measurescardiovascular diseasenon-alcoholic fatty liver diseaseobesityrelative fat mass

Identifiers

PMID37577042
PMCPMC10422986
OpenAlexW4385663424

What OpenQuestion holds

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LicenceCC BY-NC
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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.