Evidence map›Paper›PMID 35548570›Full record

ArticleFrontiers in nutrition2022

Assessing Visceral Obesity and Abdominal Adipose Tissue Distribution in Healthy Populations Based on Computed Tomography: A Large Multicenter Cross-Sectional Study.

Ming Kong, Manman Xu, Ying Zhou, Nan Geng, Ning Lin, Wenyan Song, Shanshan Li, Yuetong Piao, Zuoqing Han, Rong Guo and 13 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  15. [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

23 authors at 7 institutions in 2 countries.

Ming KongBeijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Manman XuBeijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Ying ZhouPostgraduate Training Base of Jinzhou Medical University, Department of Gastroenterology and Hepatology, The Chinese People's Liberation Army Rocket Force Characteristic Medical Center, Beijing, China.
Nan GengBeijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Ning LinBeijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Wenyan SongDepartment of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Shanshan LiBeijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Yuetong PiaoDepartment of Infection, Dalian Medical University, Dalian, China.
Zuoqing HanDepartment of Infection, Dalian Medical University, Dalian, China.
Rong GuoDepartment of Infection, Dalian Medical University, Dalian, China.
Chao YangDepartment of Radiology, The Second Hospital of Dalian Medical University, Dalian, China.
Nan LuoDepartment of Infection, The Second Hospital of Dalian Medical University, Dalian, China.
Zhong WangDiagnosis and Treatment Center of Hepatobiliary Diseases, Nanyang First People's Hospital, Nanyang, China.
Lei MaDiagnosis and Treatment Center of Hepatobiliary Diseases, Nanyang First People's Hospital, Nanyang, China.
Quanxiao XuDiagnosis and Treatment Center of Hepatobiliary Diseases, Nanyang First People's Hospital, Nanyang, China.
Lili WangDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, China.
Wanchun QiuDepartment of Infection, The First Clinical Medical School of Lanzhou University, Lanzhou, China.
Junfeng LiDepartment of Infectious Diseases, Institute of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, China.
Daimeng ShiDiagnosis and Treatment Center of Hepatobiliary Diseases, Nanyang First People's Hospital, Nanyang, China.
Eddie C CheungDivision of Gastroenterology, School of Medicine, University of California, Davis, Davis, CA, United States.
Rongkuan LiDepartment of Infection, The Second Hospital of Dalian Medical University, Dalian, China.
Yu ChenBeijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Zhongping DuanBeijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Fourth Department of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNDalian Medical University · CNBeijing YouAn Hospital · CNLanzhou University · CNFirst Hospital of Lanzhou University · CNJinzhou Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Abdominal adipose is closely related to many endocrine and metabolic diseases. The aim of this study was to analyze the distribution of abdominal adipose tissue in a healthy population in northern China determined by abdominal computed tomography (CT). Methods: Data for this study were obtained from a multicenter, retrospective, cross-sectional study that collected abdominal CT scans of 1787 healthy individuals from 4 representative cities in northern China. Areas of visceral adipose tissue (VATA) and subcutaneous adipose tissue (SATA) were obtained by measuring CT images at the level of the 3rd lumbar vertebra. Visceral adipose tissue index (VATI) and subcutaneous adipose index (SATI) were obtained by normalizing the square of height to analyze the distribution of the above indexes and visceral obesity among different body mass index (BMI), gender and age. Results: The mean age of this healthy population was 45.3 ± 15.2 years and the mean BMI was 23.5 ± 3.2 kg/m Conclusions: The distribution of abdominal visceral and subcutaneous adipose tissue parameters measured by CT differed among gender, age, and BMI. Even men and women with normal BMI have a high proportion of visceral obesity.

Indexed as

computed tomographynormal body mass indexsubcutaneous adipose tissue areavisceral adipose tissue areavisceral obesity

Identifiers

PMID35548570
PMCPMC9082940
OpenAlexW4224589316

What OpenQuestion holds

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LicenceCC BY
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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.