Evidence map›Paper›PMID 34543321›Full record

ArticlePloS one2021

Fatty liver index as a predictive marker for the development of diabetes: A retrospective cohort study using Japanese health check-up data.

Atsushi Kitazawa, Shotaro Maeda, Yoshiharu Fukuda

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  6. Article
  7. Review
  8. The Link between NAFLD and Metabolic Syndrome.Diagnostics (Basel, Switzerland) · 2023
    Review
  9. Nonalcoholic fatty liver disease and diabetes.World journal of diabetes · 2022
    Review
  10. 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

3 authors at 2 institutions in 1 country.

Atsushi KitazawaGraduate School of Public Health, Teikyo University, Tokyo, Japan.ORCID 0000-0001-9513-6426
Shotaro MaedaGraduate School of Public Health, Teikyo University, Tokyo, Japan.
Yoshiharu FukudaGraduate School of Public Health, Teikyo University, Tokyo, Japan.
Teikyo University · JPSocial Insurance Saitama Chuo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsFatty liver is associated with incident diabetes, and the fatty liver index (FLI) is a surrogate marker for non-alcoholic fatty liver disease (NAFLD). We aimed to determine whether or not FLI was associated with incident diabetes in relation to obesity and prediabetic levels in the general Japanese population.

methodsThis was a retrospective study using the Japanese health check-up database of one health insurance from FY2015 to FY2018. This study included 28,991 individuals with prediabetes. First, we stratified all participants into two groups: "high-risk," comprising patients with HbA1c >6.0%, and "standard," comprising the rest. Subsequently, we divided them into four groups according to FLI (<30 or not) and obesity (BMI <25 kg/m2 or not). Subsequently, the incidence rate of diabetes was compared among the groups after 3 years of follow-up using multiple logistic regression models after adjusting for potential confounders.

resultsAfter 3 years of follow-up, 1,547 new cases of diabetes were found, and the cumulative incidence was 2.96% for the standard group and 26.1% for the high-risk group. In non-obese individuals, odds ratios (95% confidence interval) for FLI ≥30 versus FLI <30 were: 1.44 (1.09-1.92) for the standard group and 1.42 (0.99-2.03) for the high-risk group. In the high-risk group, obesity (BMI ≥25 kg/m2) but FLI <30 was not a risk factor for developing diabetes.

conclusionAlthough high FLI is generally considered to be a risk factor for developing diabetes, obesity might have been a confounding factor. However, the present study showed that high FLI is a risk factor for the development of diabetes, even in non-obese individuals. Our results include suggestion to develop a screening tool to effectively identify people at high risk of developing diabetes from the population (especially non-obese prediabetes) who are apparently at low health risk and are unlikely to be targeted for health guidance.

Indexed as

Predictive Value of TestsSeverity of Illness IndexAdultAgedBiomarkersData ManagementFemaleHumansIncidenceInsurance, HealthJapanMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseObesityPrediabetic StateBiomarkers

Identifiers

PMID34543321
PMCPMC8451989
OpenAlexW3199905384

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Registered trials

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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.