Evidence map›Paper›PMID 40333922›Full record

ArticlePloS one2025

Analysis and study of risk factors related to the progression of non-alcoholic fatty liver disease: A retrospective cohort study.

JunRan Yang, Zhenhua Zhou

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

JunRan YangShuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-1222-6176
Zhenhua ZhouShuguang Hospital Affiliated to Shanghai University of Chinese Traditional Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-5639-3857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNon-alcoholic fatty liver disease (NAFLD) is becoming increasingly prevalent worldwide. This study aimed to analyze the risk factors associated with NAFLD progression by collecting and evaluating clinical data of NAFLD patients, providing a scientific basis for its prevention and treatment.

methodsClinical data of NAFLD patients from June 2015 to June 2016 were retrospectively collected, including gender, age, alanine aminotransferase (ALT), aspartate aminotransferase(AST), alkaline phosphatase(ALP),γ-glutamyltranspeptidase (GGT), triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), fasting blood glucose (FBG), and visceral fat area (VFA). All patients were stratified by gender and age, and logistic regression analysis was used to explore the risk factors for NAFLD disease progression.

resultsALT, TG, FBG, and VFA were identified as independent risk factors for NAFLD progression. Stratified analysis showed that in male patients, ALT, TG, and VFA were independent risk factors, whereas in female patients, TG, FBG, and VFA were identified as independent risk factors. Age-stratified analysis revealed that ALT, TG, and VFA were significant risk factors for progression in young and middle-aged patients. At the same time, age, ALT, TG, and FBG were substantial in elderly patients.

conclusionDifferent risk factors should be closely monitored in sex- and age-specific populations to prevent NAFLD progression effectively.

Indexed as

Non-alcoholic Fatty Liver DiseaseAdultAgedAlanine TransaminaseAspartate AminotransferasesBlood GlucoseDisease ProgressionFemaleHumansIntra-Abdominal FatMaleMiddle AgedRetrospective StudiesRisk FactorsTriglyceridesAlanine TransaminaseAspartate AminotransferasesBlood GlucoseTriglycerides

Identifiers

PMID40333922
PMCPMC12057958

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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.