Evidence map›Paper›PMID 38862756›Full record

ArticleScientific reports2024

Comparative study of MAFLD as a predictor of metabolic disease treatment for NAFLD.

Jin Imai, Shinji Takashimizu, Nana Suzuki, Kana Ohshinden, Kana Sawamoto, Yusuke Mishima, Kota Tsuruya, Yoshitaka Arase, Mitsuhiko Yamano, Noriaki Kishimoto and 7 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. 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

17 authors.

Jin ImaiDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan. 282677@tokai.ac.jp.
Shinji TakashimizuDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Nana SuzukiDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Kana OhshindenDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Kana SawamotoDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Yusuke MishimaDepartment of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Kota TsuruyaDepartment of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Yoshitaka AraseDepartment of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Mitsuhiko YamanoDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Noriaki KishimotoDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Chizumi YamadaDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Nagamu InoueDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Kengo MoriyamaDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Akiyasu BabaDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.
Hidekazu SuzukiDepartment of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Tatehiro KagawaDepartment of Gastroenterology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Yasuhiro NishizakiDepartment of Clinical Health Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, Japan.

Funding

Japan Society for the Promotion of Science 22K08042
6 · The paper itself

Abstract

A novel concept of Metabolic Associated Fatty Liver Disease (MAFLD) was proposed, incorporating metabolic abnormalities such as obesity and diabetes, which are risk factors that affect the prognosis. Non-Alcoholic Fatty Liver Disease (NAFLD), entails fat accumulation in the liver without alcohol consumption and is often linked to obesity, insulin resistance, and metabolic syndrome. However, the broad nature of the disease concept has hindered prognosis accuracy. In this study, we assess the contribution of the impact of diagnostic criteria for MAFLD on metabolic disease progression compared to conventional diagnostic criteria for NAFLD. A total of 7159 patient who were presented to the health screening center in Tokai University Hospital both in 2015 and 2020 were included in the study. Fatty liver was diagnosed using abdominal ultrasonography. The diagnostic criteria for NAFLD were consistent with the global guidelines based on alcohol consumption. The diagnostic criteria for MAFLD were based on the International Consensus Panel. Medications (anti-hypertensive, diabetic, and dyslipidemia medications) were evaluated by self-administration in the submitted medical questionnaire. A total of 2500 (34.9%) participants were diagnosed with fatty liver (FL +), 1811 (72.4%) fit both NAFLD and MAFLD diagnostic criteria (overlap), 230 (9.2%) fit only the NAFLD diagnostic criteria (NAFLD group) and 404 (16.1%) fit the MAFLD diagnostic criteria (MAFLD group) at 2015. Over the next 5 years, medication rates increased in the NAFLD group for anti-hypertensive, + 17 (7.4%); diabetes, + 3 (1.3%); and dyslipidemia, + 32 (13.9%). In contrast, the only-MAFLD group showed a more significant increase with + 49 (12.1%), + 21 (5.2%), and + 49 (12.1%), for the respective medications, indicating a substantial rise in patients starting new medications. Our analysis of repeated health check-ups on participants revealed that the diagnostic criteria for MAFLD are more predictive of future treatment for metabolic disease than conventional diagnostic criteria for NAFLD.

Indexed as

Non-alcoholic Fatty Liver DiseaseAdultAgedDisease ProgressionFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityPrognosisRisk FactorsFatty liverMetabolic associated fatty liver disease (MAFLD)Metabolic diseaseNon-alcoholic fatty liver disease (NAFLD)

Identifiers

PMID38862756
PMCPMC11166940

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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.