Evidence map›Paper›PMID 39261925›Full record

ArticleDiabetology & metabolic syndrome2024

High-density lipoprotein cholesterol trajectory and new-onset metabolic dysfunction-associated fatty liver disease incidence: a longitudinal study.

Mengting Zhang, Dongchun Chang, Qing Guan, Rui Dong, Ru Zhang, Wei Zhang, Hongliang Wang, Jie Wang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

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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

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mengting Zhang *Department of Gastroenterology, the Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Dongchun Chang *Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Qing GuanDepartment of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Rui DongDepartment of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Ru ZhangSchool of Nursing and Midwifery, Jiangsu College of Nursing, Huai'an, 223003, Jiangsu, China.
Wei ZhangDepartment of Epidemiology, Shanghai Cancer Institute, Shanghai, 200032, China.
Hongliang WangDepartment of General Practice, Ninghai Road Community Health Service Center, Gulou District, Nanjing, 210024, Jiangsu, China.
Jie WangDepartment of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. wangjienjmu@126.com.

Funding

Priority Academic Program Development of Jiangsu Higher Education Institutions Nursing Science, 2018, No.87the Six Talent Peaks Project in Jiangsu Province, China 2019, WSN-049
6 · The paper itself

Abstract

backgroundAlthough high-density lipoprotein cholesterol (HDL-C) exerts a significant influence on the development of metabolic dysfunction-associated fatty liver disease (MAFLD), the association of dynamic changes in HDL-C levels with the risk of MAFLD remains unclear. Thus, the aim of the current study was to explore the association between the changing trajectories of HDL-C and new-onset MAFLD. The findings of this study may provide a theoretical basis for future personalized intervention and prevention targeting MAFLD.

methodsA total of 1507 participants who met the inclusion criteria were recruited from a community-based physical examination population in Nanjing, China from 2017 to 2021. Group-based trajectory models were constructed to determine the heterogeneous HDL-C trajectories. The incidence of MAFLD in each group in 2022 was followed up, and the Cox proportional hazards regression model was applied to investigate the associations between different HDL-C trajectories and the risk of new-onset MAFLD.

resultsThe incidences of MAFLD in the low-stable, moderate-stable, moderate-high-stable, and high-stable groups of HDL-C trajectory were 26.5%, 13.8%, 7.2% and 2.6%, respectively. The incidence rate of MAFLD in the order of the above trajectory groups exhibited a decreasing trend (χ

conclusionsPersistently low HDL-C level is a risk factor for the onset of MAFLD. Long-term monitoring of HDL-C levels and timely intervention for those experiencing persistent declines are crucial for early prevention of MAFLD.

Indexed as

High-density lipoprotein cholesterol (HDL-C)Longitudinal studyMetabolic dysfunction-associated fatty liver disease (MAFLD)Trajectory

Identifiers

PMID39261925
PMCPMC11389356

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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.