Evidence map›Paper›PMID 40369430›Full record

ArticleBMC gastroenterology2025

Clinical characteristics of MASLD/MetALD/MAFLD/NAFLD and the relative risk analysis on metabolic disorders.

Hong-Ye Peng, Chun-Li Lu, Mo Zhao, Xiao-Qiang Huang, Shu-Xia Huang, Zi-Wen Zhuo, Jing Liu, Yan-Ping Lu, Wen-Liang Lv

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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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

9 authors.

Hong-Ye Peng *Department of Infection, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Chun-Li Lu *Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine (Institute of Traditional Chinese Medicine), Guangdong Pharmaceutical University, 280 Huandong Road, University Town, Guangzhou, Guangdong Province, 510006, China.
Mo Zhao *Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, China.
Xiao-Qiang HuangGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine (Institute of Traditional Chinese Medicine), Guangdong Pharmaceutical University, 280 Huandong Road, University Town, Guangzhou, Guangdong Province, 510006, China.
Shu-Xia HuangDepartment of Infection, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Zi-Wen ZhuoDepartment of Infection, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Jing LiuDepartment of Infection, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Yan-Ping LuDepartment of Hepatology, Shenzhen Baoan Hospital of Traditional Chinese Medicine, Guangdong, 518100, China. 5147887@qq.com.
Wen-Liang LvDepartment of Infection, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China. lvwenliang@sohu.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur objective was to compare the clinical features of Metabolic dysfunction-associated steatotic liver disease (MASLD) /metabolic alcohol-related liver disease (MetALD)/metabolic associated fatty liver disease (MAFLD)/nonalcoholic fatty liver disease (NAFLD) and the relative risk analysis of metabolic disorders.

methodsThe National Health and Nutrition Examination Survey for the 2017-2018 cycle was used to screen the participants. Multivariate-adjusted logistic regression models were applied to explore the difference in relative risk analysis between NAFLD/MAFLD/MASLD/MetALD and metabolic disorders.

resultsAmong the 1,862 eligible individuals, 358(44.84%) had MASLD, 213(11.44%) had MetALD, 841(45.17%) had MAFLD, and 1,125(60.42%) had NAFLD. Positive associations with the risk of hypertension were discovered for MASLD (OR = 2.892, 95%CI = 2.226-3.756), MetALD (OR = 1.802, 95% CI = 1.355-2.398), MAFLD (OR = 3.455, 95%CI = 2.741-4.354) and NAFLD (OR = 1.983, 95%CI = 1.584-2.484). Positive associations with the risk of T2DM were discovered for MASLD (OR = 6.360, 95%CI = 4.440-9.109), MAFLD (OR = 7.026, 95%CI = 4.893-10.090) and NAFLD (OR = 3.372, 95%CI = 2.511-4.528). We discovered similar results for hyperlipidemia. Compared to mild steatosis, moderate to severe steatosis in patients with MASLD (OR = 3.924, 95%CI = 2.399-6.419), MAFLD (OR = 3.814, 95%CI = 2.367-6.144), NAFLD (OR = 4.910, 95%CI = 2.983-8.080) has a higher risk for T2DM.

conclusionThe proposed definitions of MASLD and MetALD are valuable and deserve further exploration. Our findings suggest that MAFLD is a more effective indicator for identifying patients at increased risk for metabolic disorders.

Indexed as

Fatty LiverFatty Liver, AlcoholicLiver Diseases, AlcoholicMetabolic DiseasesNon-alcoholic Fatty Liver DiseaseAdultAgedCross-Sectional StudiesFemaleHumansHypertensionLogistic ModelsMaleMiddle AgedNutrition SurveysRisk AssessmentHypertensionMASLDMetabolic disordersMetALDSteatosis severity.T2DM

Identifiers

PMID40369430
PMCPMC12079820

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.