Evidence map›Paper›PMID 36417462›Full record

ArticlePloS one2022

Evaluation of metabolic dysfunction-associated fatty liver disease using FibroScan, diet, and microbiota: A large cross-sectional study.

Tetsuyuki Tateda, Chikara Iino, Takafumi Sasada, Satoshi Sato, Go Igarashi, Shogo Kawaguchi, Kenichiro Mikami, Tetsu Endo, Kaori Sawada, Tatsuya Mikami and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Alteration of small intestinal microbiota in diet-induced steatohepatitis mice.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  3. Article
  4. Review
  5. 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

13 authors at 1 institution in 1 country.

Tetsuyuki TatedaDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Chikara IinoDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0001-6844-4415
Takafumi SasadaDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Satoshi SatoDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Go IgarashiDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Shogo KawaguchiDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Kenichiro MikamiDepartment of Internal Medicine, Owani Hospital, Owani, Japan.
Tetsu EndoDepartment of Gastroenterology and Internal Medicine, Mutsu General Hospital, Mutsu, Japan.
Kaori SawadaCenter of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Tatsuya MikamiCenter of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Shinsaku FukudaCenter of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Shigeyuki NakajiCenter of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hirotake SakurabaDepartment of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hirosaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe evaluated the clinical characteristics of metabolic dysfunction-associated fatty liver disease (MAFLD) to evaluate the usefulness of the MAFLD diagnostic criteria in a resident health survey.

methodsIn 1056 participants of a health survey, we compared obesity, diabetes, metabolic dysregulation, FibroScan-aspartate aminotransferase (FAST) score, dietary habits, and gut microbiota between healthy individuals and participants with MAFLD and Nonalcoholic fatty liver disease (NAFLD).

resultsThe proportion of participants with MAFLD in the fatty liver was higher than that with NAFLD (88.1% vs. 75.5%, respectively). Of 36 participants with a FAST score > 0.35, 29 (80.6%) participants had MAFLD and 23 (63.9%) participants had NAFLD. Of 29 patients with liver fibrosis, 26 (89.7%) participants had obesity and metabolic dysregulation. In the evaluation of diet, the total energy, protein, dietary fiber, and salt intake were significantly higher in participants with MAFLD than those in participants without fatty liver. In the microbiota analysis, the results of the linear discriminant analysis effect size analysis revealed nine bacterial genera that were significantly different in participants with MAFLD in comparison with participants without fatty liver. Of these genera, the relative abundance of Blautia was especially low in participants with MAFLD.

conclusionIn a resident health survey, participants with MAFLD had a higher proportion of fatty liver than those with NAFLD. MAFLD criteria could help in improved screening of participants with liver fibrosis. Therefore, the MAFLD criteria could be a useful diagnostic tool for aggressively identifying participants with a high risk of fatty liver. Additionally, Blautia might be involved in the development of MAFLD.

Indexed as

MicrobiotaNon-alcoholic Fatty Liver DiseaseCross-Sectional StudiesDietHumansLiver CirrhosisObesity

Identifiers

PMID36417462
PMCPMC9683607
OpenAlexW4309865311

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.