Evidence map›Paper›PMID 36517035›Full record

Observational studyInternal medicine (Tokyo, Japan)2023

Utility of Indices Obtained during Medical Checkups for Predicting Fatty Liver Disease in Non-obese People.

Naoya Otsubo, Tatsuya Fukuda, Genhin Cho, Fumiaki Ishibashi, Tetsuya Yamada, Koshiro Monzen

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Internal medicine (Tokyo, Japan), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
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  11. Observational
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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

6 authors at 3 institutions in 1 country.

Naoya OtsuboShinjuku Tsurukame Clinic, Japan.
Tatsuya FukudaDepartment of Endocrinology and Metabolism, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, Japan.
Genhin ChoMirraza Shinjuku Tsurukame Clinic, Japan.
Fumiaki IshibashiDepartment of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Japan.
Tetsuya YamadaDepartment of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Japan.
Koshiro MonzenShinjuku Tsurukame Clinic, Japan.
Tokyo Medical and Dental University · JPInternational University of Health and Welfare · JPOhkubo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To predict fatty liver disease (FLD), including nonalcoholic FLD (NAFLD) and metabolic dysfunction-associated FLD (MAFLD), from blood tests and anthropometric measurements, the fatty liver index (FLI) and triglyceride glucose-body mass index (TyG-BMI) have been reported as promising indicators. We evaluated the predictive ability of several indices, including the waist circumference, BMI, FLI and TyG-BMI, that might predict FLD in non-obese individuals undergoing health checkups. Methods This retrospective observational study enrolled non-obese subjects who underwent abdominal ultrasonography between May 1, 2015, and June 30, 2022. Obesity was defined as a BMI <25 kg/m

Indexed as

Non-alcoholic Fatty Liver DiseaseAdultBody Mass IndexFemaleGlucoseHumansLiver Function TestsMaleMiddle AgedObesityROC CurveTriglyceridesGlucoseTriglyceridesfatty liver indexnonalcoholic fatty liver diseaseobesityTyG-BMIvisceral adiposity index

Identifiers

PMID36517035
PMCPMC10484762
OpenAlexW4311587716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.