Evidence map›Paper›PMID 33313159›Full record

ArticleAnnals of translational medicine2020

Development of a simple nonalcoholic fatty liver disease scoring system indicative of metabolic risks and insulin resistance.

Seogsong Jeong, Kyuwoong Kim, Jooyoung Chang, Seulggie Choi, Sung Min Kim, Joung Sik Son, Gyeongsil Lee, Won Kim, Sang Min Park

Abstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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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

32 citing papers in PubMed.

  1. Trial
  2. MMP-9 and non-invasive markers in evaluating MASLD and atherosclerosis.Journal, genetic engineering & biotechnology · 2026
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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.

Seogsong JeongDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Kyuwoong KimNational Cancer Control Institute, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
Jooyoung ChangDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Seulggie ChoiDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Sung Min KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Joung Sik SonDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Gyeongsil LeeDepartment of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Won KimDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Sang Min ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonalcoholic fatty liver disease (NAFLD) is estimated to affect approximately 30% population worldwide. However, there is yet a basic and generally implementable approach to define individuals at risk for NAFLD estimative of metabolic risk.

methodsTotal of 3,634 general participants without history of liver disease and alcohol consumption who received the Korean National Health and Nutrition Examination Survey between 2008 and 2010 were studied. Logistic regression was used to identify significant covariates indicative of NAFLD. Multivariable-adjusted logistic regression was carried out for evaluation on estimative impact of the derived score on metabolic risks.

resultsSex [female; odd ratio (OR), 2.492; 95% confidence interval (CI), 1.921-3.233; P<0.001], waist circumference (WC) (OR, 1.093; 95% CI, 1.077-1.110, P<0.001) systolic blood pressure (OR, 1.033; 95% CI, 1.025-1.040; P<0.001), fasting serum glucose (FSG) (OR, 1.032; 95% CI, 1.026-1.038; P<0.001), triglyceride (OR, 1.007; 95% CI, 1.006-1.009; P<0.001), and alanine aminotransferase (OR, 1.110; 95% CI, 1.097-1.124; P<0.001) were independently indicative of NAFLD, which constituted the derived scoring system. The system revealed a significant correlation with the NAFLD liver fat score, fatty liver index (FLI), body mass index, age, alanine aminotransferase, and triglycerides (BAAT) score, lipid accumulation product, and hepatic steatosis index. In addition, the derived score was significantly estimative of insulin resistance.

conclusionsThe developed score may be supportive of stratification of individuals at high risk of NAFLD, non-invasive fast diagnosis of NAFLD, and estimation of metabolic risk. Future studies that compare the derived score with standard diagnostic tests-validated data, such as ultrasonography of the liver, are needed.

Indexed as

insulin resistancemetabolic risk factorsNonalcoholic fatty liver disease (NAFLD)non-invasive diagnosis

Identifiers

PMID33313159
PMCPMC7723650

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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.