Evidence map›Paper›PMID 39619223›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Clinical Characteristics, Risk Factors, and Predictors of Nonobese Fatty Liver Disease: A Cross-Sectional Study.

Xiaomei Zhang, Shi Wang, Sanping Xu, Rui Min, Yan Ling, Shiran Sun, Rui Gong

Abstract read
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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaomei Zhang *Health Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID 0009-0008-6722-307X
Shi Wang *Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Sanping XuHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Rui MinSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Yan LingHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Shiran Sun *Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Rui Gong *Health Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID 0000-0001-5276-4385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the risk factors and predictors of non-obese fatty liver disease in the Chinese population. Patients and Methods: A total of 6,014 adults who underwent physical examinations at Union Hospital of Huazhong University of Science and Technology from March 2019 to March 2023 were included in this study. Fatty liver disease was diagnosed based on at least two of the following criteria: diffuse echo patterns relative to the liver, spleen, and kidney; ultrasonic beam attenuation; and poor intrahepatic visual details. The associations between non-obese fatty liver and gender, age, total bilirubin(TBIL), direct bilirubin(DBIL), alanine aminotransferase(ALT), aspartate aminotransferase(AST), glutamine transferase(GGT), alkaline phosphatase(ALP), triglycerides(TG), total cholesterol(TC), high-density lipoprotein cholesterol(HDLC), low-density lipoprotein cholesterol(LDLC), urea nitrogen(BUN), creatinine(Cr), uric acid(UA), Central nervous system sensitivity PTFQI, TSHI, TT4RI, TFQI, Peripheral sensitivity, free thyroxine(FT Results: Compared with the normal group, age, proportion of males, ALT, AST, GGT, ALP, TG, TC, BUN, Cr, UA, TSHI, TT4RI, FT Conclusion: Risk factors for non-obese fatty liver may include sex, age, TG, TC, BMI, etc. Hyperlipidemia, hypertension, hyperuricemia and diabetes mellitus are related to non-obese fatty liver. FT

Indexed as

Clinical FeaturesFatty liverForecastingNon-obese typeRisk Factors

Identifiers

PMID39619223
PMCPMC11606184

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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.