Evidence map›Paper›PMID 36585702›Full record

ArticleLipids in health and disease2022

Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China.

Pingping Yu, Huachao Yang, Xiaoya Qi, Ruixue Bai, Shouqin Zhang, Jianping Gong, Ying Mei, Peng Hu

Abstract read
In one paragraph

Article in Lipids in health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  5. [Predictive value of a Chinese visceral adiposity index for metabolic associated fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
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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.

Pingping Yu *Department of Health Management, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huachao Yang *Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaoya QiDepartment of Health Management, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ruixue BaiDepartment of Health Management, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shouqin ZhangDepartment of Health Management, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jianping GongDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ying MeiDepartment of Health Management, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. meiying@cqmu.edu.cn.
Peng HuDepartment of Infectious Diseases, Institute for Viral Hepatitis, The Key Laboratory of Molecular Biology for Infectious Diseases, Chinese Ministry of Education, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. hupengcq@hospital.cqmu.edu.cn.

Funding

Chongqing Science and Technology Commission Joint Medical Project 2021MSXM057Chongqing Talents Project cstc2021ycjh-bgzxm0150
6 · The paper itself

Abstract

backgroundSince the discovery of metabolic-associated fatty liver disease (MAFLD) in 2020, no report on the connection between the visceral fat area (VFA) and MAFLD has been published in China, and the ideal cutoffs of VFA for predicting MAFLD has not been determined so far. Thus, the purpose of this research was to clarify the relationship between VFA and MAFLD and the ideal cutoffs of VFA to predict MAFLD in the Chinese population.

methodsFive thousand three hundred forty subjects were included in this research, with 30% randomly selected for the validation set (n = 1602) and 70% for the Training set (n = 3738). The association between VFA and MAFLD was determined by multiple logistic regression. ROC curves were used to evaluate the prediction effect of VFA on MAFLD.

resultsMultiple logistic regression analysis revealed that the VFA ORs (95% CIs) were 1.25 (1.20, 1.29) for women and 1.15 (1.12, 1.17) for men. Meanwhile, the VFA quartile OR (95% CI) were 3.07 (1.64, 5.75), 7.22 (3.97, 13.14), 18.91 (10.30, 34.71) for women and 3.07 (1.64, 5.75), 7.22 (3.97, 13.14),18.91 (10.30, 34.71) for men in the Q2, Q3, and Q4 groups compared with Q1. The ROC curve showed the VFA, WC, WHR, and WHtR to predict MAFLD, the AUC value of VFA was the highest and the prediction effect was the best. The ideal cutoffs of VFA to predict MAFLD was 115.55 cm

conclusionVFA was an independent predictive factor for MAFLD, and the ideal cutoff of VFA to predict MAFLD was 115.55 cm

Indexed as

Intra-Abdominal FatNon-alcoholic Fatty Liver DiseaseAsian PeopleChinaFemaleHumansMaleROC CurveSex FactorsMetabolic-associated fatty liver disease (MAFLD)Quantitative Computed Tomography (QCT)Visceral fat area (VFA)

Identifiers

PMID36585702
PMCPMC9805250

What Socratic 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 Socratic graph.