Evidence map›Paper›PMID 25902304›Full record

ArticlePloS one2015

Association between the Fatty Liver Index and Risk of Type 2 Diabetes in the EPIC-Potsdam Study.

Susanne Jäger, Simone Jacobs, Janine Kröger, Norbert Stefan, Andreas Fritsche, Cornelia Weikert, Heiner Boeing, Matthias B Schulze

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

46 citing papers in PubMed, 70 citations in OpenAlex.

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  14. Fatty liver index has potential as a predictor of hypertension in the Japanese general population.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
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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

8 authors at 4 institutions in 1 country.

Susanne JägerDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.
Simone JacobsDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.
Janine KrögerDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.
Norbert StefanGerman Center for Diabetes Research (DZD), Neuherberg, Germany; Department of Internal Medicine, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital Tübingen, Tübingen, Germany.
Andreas FritscheGerman Center for Diabetes Research (DZD), Neuherberg, Germany; Department of Internal Medicine, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital Tübingen, Tübingen, Germany.
Cornelia WeikertResearch Group Cardiovascular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute for Social Medicine, Epidemiology and Health Economics, Charité University Medical Center, Berlin, Germany.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.
German Institute of Human Nutrition · DEDeutsches Diabetes-Zentrum e.V. · DEHeinrich Heine University Düsseldorf · DEGerman Center for Diabetes Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fatty liver index (FLI) predicts fatty liver by using BMI, waist circumference, γ-glutamyltransferase and triglycerides. We investigated the association between the FLI and the risk of type 2 diabetes and evaluated to what extent single FLI components contribute to the diabetes risk. We analysed a case-cohort study (random sub-cohort: 1922; incident cases: 563) nested within the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. The proportion of exposure effect (PEE) explained by single FLI components was evaluated and effect decomposition using inverse probability weighting (IPW) was applied. Women and men with a FLI ≥ 60 compared to those with a FLI < 30 had a multivariable-adjusted Hazard Ratio (HR) of 17.6; 95% confidence interval (CI) 11.1-28.0 and HR: 10.9; 95% CI 6.22-19.2, respectively. Adjustment for BMI or waist circumference attenuated this association in men [PEE BMI (95% CI) = 53.8% (43.9%-65.8%); PEE waist (95% CI) = 54.8% (44.2%-68.8%)]. In women, adjustment for waist circumference attenuated the association to a lesser degree than in men [PEE waist (95% CI) = 31.1%; (21.9%-43.1%)] while BMI had no appreciable effect [PEE BMI (95% CI) = 11.0% (2.68%-21.0%)]. γ-glutamyltransferase and triglycerides showed only a small attenuation in women [PEE GGT(95% CI) = 3.11% (-0.72%-4.48%); PEE TG (95% CI) = 6.36% (3.81%-9.92%)] and in men [PEE GGT = 0%; PEE TG (95% CI) = 6.23% (2.03%-11.8%)]. In women, the total effect was decomposed into a direct effect and 4 indirect effects (HR BMI = 1.10; HR waist = 1.28; HR GGT = 0.97 and HR TG = 1.03). In men, the 4 indirect effects were HR BMI = 1.25; HR waist = 1.29; HR GGT = 0.97 and HR TG = 0.99. These data suggest that the FLI, as a proxy for fatty liver, is associated with risk of type 2 diabetes. This association is only partly explained by standard estimates of overall and abdominal body fatness, particularly among women.

Indexed as

Confidence IntervalsDiabetes Mellitus, Type 2Fatty LiverFemaleGermanyHumansMaleMiddle AgedProspective StudiesRisk Factors

Identifiers

PMID25902304
PMCPMC4406732
OpenAlexW2093999428

What OpenQuestion holds

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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.