Evidence map›Paper›PMID 38895100›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2024

Usefulness of health checkup-based indices in identifying metabolic dysfunction-associated steatotic liver disease.

Takao Miwa, Satoko Tajirika, Nanako Imamura, Miho Adachi, Ryo Horita, Tatsunori Hanai, Cheng Han Ng, Mohammad Shadab Siddiqui, Taku Fukao, Masahito Shimizu and 1 more

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

11 authors.

Takao MiwaHealth Administration Center Gifu University Gifu Japan.ORCID https://orcid.org/0000-0002-6373-260X
Satoko TajirikaHealth Administration Center Gifu University Gifu Japan.ORCID https://orcid.org/0000-0003-2447-5783
Nanako ImamuraHealth Administration Center Gifu University Gifu Japan.
Miho AdachiHealth Administration Center Gifu University Gifu Japan.
Ryo HoritaHealth Administration Center Gifu University Gifu Japan.ORCID https://orcid.org/0000-0002-2922-9277
Tatsunori HanaiDepartment of Gastroenterology/Internal Medicine, Graduate School of Medicine Gifu University Gifu Japan.ORCID https://orcid.org/0000-0001-7797-9534
Cheng Han NgDivision of Gastroenterology and Hepatology, Department of Medicine National University Hospital Singapore Singapore.ORCID https://orcid.org/0000-0002-8297-1569
Mohammad Shadab SiddiquiDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine Virginia Commonwealth University Richmond Virginia USA.ORCID https://orcid.org/0000-0001-7392-7489
Taku FukaoHealth Administration Center Gifu University Gifu Japan.ORCID https://orcid.org/0009-0009-5557-7791
Masahito ShimizuDepartment of Gastroenterology/Internal Medicine, Graduate School of Medicine Gifu University Gifu Japan.
Mayumi YamamotoHealth Administration Center Gifu University Gifu Japan.ORCID https://orcid.org/0000-0002-5603-6825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The application of indices in the context of metabolic dysfunction-associated steatotic liver disease (MASLD) remains unexplored. We aimed to validate the ability of alanine aminotransferase (ALT), fatty liver index (FLI), and hepatic steatosis index (HSI) to identify MASLD during health checkups. Methods: We recruited 627 participants and utilized their health checkup data and ultrasound to assess the potential of using ALT, FLI, and HSI as indices for MASLD; this was indicated by the area under the curve (AUC) and restricted cubic spline (RCS) model. The optimal, rule-out (sensitivity ≥90%), and rule-in (specificity ≥90%) cutoff values of each index for identifying MASLD were reported. Results: Among participants with a median age of 46 years, the prevalence of MASLD was 28% in total (38% in males and 18% in females). RCS models confirmed a linear association between indices and MASLD. ROC analyses indicated that the AUC of ALT in identifying MASLD was 0.79 for the total cohort, 0.81 for males, and 0.69 for females. The optimal, rule-out, and rule-in cutoff values for ALT were 21, 13, and 29, respectively. Similarly, the AUC of FLI/HSI in identifying MASLD was 0.90/0.88 for the total cohort, 0.86/0.85 for males, and 0.93/0.90 for females. Considering the reference cutoff values, distinct cutoff values were observed between the sexes for FLI, while HSI had similar cutoff values. Conclusion: This study demonstrated that ALT > 30 IU/L is a reasonable cutoff value to rule-in MASLD. ALT, FLI, and HSI are reliable indices for identifying MASLD during health checkups.

Indexed as

biomarkerleannon‐alcoholic fatty liver diseasenon‐alcoholic steatohepatitisscreening

Identifiers

PMID38895100
PMCPMC11183927

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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.