Evidence map›Paper›PMID 35768441›Full record

ArticleScientific reports2022

Lean non-alcoholic fatty liver disease (Lean-NAFLD) and the development of metabolic syndrome: a retrospective study.

Wenting Wang, Jianping Ren, Wenzhao Zhou, Jinyu Huang, Guomin Wu, Fenfang Yang, Shuang Yuan, Juan Fang, Jing Liu, Yao Jin and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.1field-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

31 citing papers in PubMed, 40 citations in OpenAlex.

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  5. [Research progress on clinical characteristics and pathological mechanisms of lean 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

19 authors at 6 institutions in 1 country.

Wenting WangSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
Jianping RenSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China. jpren2016@163.com.
Wenzhao ZhouZhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou, 311121, Zhejiang Province, China. zwz2zxb@mail.ustc.edu.cn.
Jinyu HuangAffiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Guomin WuAffiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Fenfang YangAffiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Shuang YuanSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
Juan FangSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
Jing LiuDepartment of Hepatology, Affiliated Hospital of Hangzhou Normal University, Normal University, HangzhouHangzhou, 310015, Zhejiang Province, China.
Yao JinSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
Haiyang QiDepartment of Biology and Chemistry, Zhejiang Institute of Metrology, No.300 Xiasha Road, Hangzhou, 310018, Zhejiang Province, China.
Yuyang MiaoDepartment of Biology and Chemistry, Zhejiang Institute of Metrology, No.300 Xiasha Road, Hangzhou, 310018, Zhejiang Province, China.
Yanna LeAffiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Cenhong GeAffiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Xiantao QiuSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
JinJing WangSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
Ping HuangSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
Zixin LiuSchool of Public Health, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China.
Sheng WangSchool of Nursing, Hangzhou Normal University, No.2318 Yuhangtang Road, Hangzhou, 311121, Zhejiang Province, China. wangsheng0925@163.com.
Hangzhou Normal University · CNZhejiang University · CNHangzhou First People's Hospital · CNZhejiang Institute of Metrology · CNAffiliated Hospital of Hangzhou Normal University · CNZhejiang Lab · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lean NAFLD is a special phenotypic closely correlated with metabolic syndrome (MS). The aim of this study is to investigate the MS development and the gender differences in lean NAFLD population. Participants were divided into 4 groups by BMI and NAFLD status. Descriptive analysis was performed to characterize baseline information. A total of 18,395 subjects were participated, and 1524 incident cases of MS were documented. Then, Kaplan-Meier curves were used to present the MS outcomes in different groups, and the NAFLD was found to be a riskier factor than obesity for MS. Subgroup analysis showed significantly higher MS incidence in female than male among lean NAFLD group, which is different from other groups. Although with higher prevalence in male, lean NAFLD seems to be a more harmful phenotype for females according to the TG, ALT and GGT levels. The logistic regressive analysis was performed to show the impact of NAFLD status and BMI changes on MS risk. Lean non-NAFLD subjects merely developed to NAFLD with no BMI status changes exhibited highest MS risk (ORs = 1.879, 95% CI 1.610-2.292) than that with both BMI increase and NAFLD development (ORs = 1.669, 95% CI 1.325-2.104). It also suggests the metabolic specificity of this population.

Indexed as

Metabolic SyndromeNon-alcoholic Fatty Liver DiseaseBody Mass IndexFemaleHumansMaleObesityRetrospective StudiesRisk Factors

Identifiers

PMID35768441
PMCPMC9243064
OpenAlexW4283696448

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.