Evidence map›Paper›PMID 27495073›Full record

Observational studyMedicine2016

Fatty liver index as a simple predictor of incident diabetes from the KoGES-ARIRANG study.

Dhananjay Yadav, Eunhee Choi, Song Vogue Ahn, Sang Baek Koh, Ki-Chul Sung, Jang-Young Kim, Ji Hye Huh

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 50 citations in OpenAlex.

  1. Journal of medicinal food · 2020
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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

7 authors at 2 institutions in 1 country.

Dhananjay YadavDepartment of Preventive Medicine, Yonsei University, Wonju College of Medicine, Wonju Institute of Lifestyle Medicine, Yonsei University, Wonju College of Medicine, Wonju Institute of Genomic Cohort, Yonsei University, Wonju College of Medicine, Wonju Division of Cardiology, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul Division of Cardiology, Department of Internal Medicine, Yonsei University, Wonju College of Medicine, Wonju Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University, Wonju College of Medicine, Wonju, South Korea.
Eunhee Choi
Song Vogue Ahn
Sang Baek Koh
Ki-Chul Sung
Jang-Young Kim
Ji Hye Huh
Yonsei University · KRKangbuk Samsung Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fatty liver index (FLI), calculated from serum triglyceride, body mass index, waist circumference, and gamma-glutamyltransferase, is considered a surrogate marker of nonalcoholic fatty liver disease (NAFLD). We investigated whether FLI predicts the development of diabetes mellitus (DM) and assessed the predictive ability of FLI for new onset of DM in a prospective population-based cohort study.We analyzed a total of 2784 adults (944 men and 1840 women) aged 40 to 70 years without DM at baseline. Participants were classified according to FLI values into 3 groups: FLI < 30, no NAFLD; 30 ≤ FLI ≤ 59, intermediate NAFLD; and FLI ≥ 60, participants with NAFLD. The area under the receiver-operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated to determine whether FLI improved DM risk prediction.During a mean of 2.6 years follow-up, 88 (3.16%) participants developed DM. The odds ratio analyzed from multivariable-adjusted models (95% confidence interval [CI]) for new onset of DM increased in a continuous manner with increased FLI (<30 vs 30-59 vs ≥60 = 1 vs 1.87 [95% CI 1.05-3.33] vs 2.84 [95% CI 1.4-5.75], respectively). The AUC significantly increased when FLI was added to the conventional DM prediction model (0.835, 95% CI: 0.789-0.881, P = 0.0289 vs traditional DM prediction model). The category-free NRI was 0.417 (95% CI: 0.199-0.635) and the IDI was 0.015 (95% CI: 0.003-0.026) for overall study participants.We found that FLI, a surrogate marker of hepatic steatosis, resulted in significant improvement in DM risk prediction. Our finding suggests that FLI may have clinical and prognostic information for incident DM among the Korean adult population.

Indexed as

AdultAgedBiomarkersBody Mass IndexCohort StudiesComorbidityDiabetes MellitusFemalegamma-GlutamyltransferaseHumansIncidenceLogistic ModelsMaleMiddle AgedMultivariate AnalysisNon-alcoholic Fatty Liver DiseaseBiomarkersgamma-Glutamyltransferase

Identifiers

PMID27495073
PMCPMC4979827
OpenAlexW2494172097

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.