Evidence map›Paper›PMID 36531447›Full record

ArticleFrontiers in endocrinology2022

Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study.

Jing Liu, Shaojie Duan, Che Wang, Yutong Wang, Hongye Peng, Zuohu Niu, Shukun Yao

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Psoas Muscle Index, Systemic Inflammation, and Liver Fibrosis in MAFLD: A Case-Control Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

Jing LiuGraduate School, Peking Union Medical College, Beijing, China.
Shaojie DuanGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Che WangSchool of Qi Huang, Beijing University of Chinese Medicine, Beijing, China.
Yutong WangSchool of Qi Huang, Beijing University of Chinese Medicine, Beijing, China.
Hongye PengDepartment of Infection, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zuohu NiuGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Shukun YaoDepartment of Gastroenterology, China-Japan Friendship Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Metabolic dysfunction-associated fatty liver disease (MAFLD) affects 25% of the population without approved drug therapy. According to the latest consensus, MAFLD is divided into three subgroups based on different diagnostic modalities, including Obesity, Lean, and Type 2 diabetes mellitus (T Design: 1058 Chinese participants were enrolled in this study. Anthropometric measurements, laboratory data, and ultrasonography features were collected. 22 metabolism-related indexes were calculated, including fatty liver index (FLI), lipid accumulation product (LAP), waist circumference-triglyceride index (WTI), etc. Logistic regression analyzed the correlation between indexes and MAFLD. Receiver operating characteristics were conducted to compare predictive values among 22 indicators for screening the best indicators to predict MAFLD in different subgroups. Results: FLI was the best predictor with the maximum odds ratio (OR) values of overall MAFLD (OR: 6.712, 95%CI: 4.766-9.452, area under the curve (AUC): 0.879, Conclusion: The best predictors of overall MAFLD, Obesity, Lean, and T

Indexed as

Diabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseBody Mass IndexCase-Control StudiesEast Asian PeopleHumansObesityRetrospective Studiesfatty liver indexlipid accumulation productmetabolic disordersmetabolic dysfunction-associated fatty liver diseasenon-invasive predictive indicatorswaist circumference-triglyceride index

Identifiers

PMID36531447
PMCPMC9751395

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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.