Evidence map›Paper›PMID 27004029›Full record

ArticleClujul medical (1957)2016

Prevalence and predictors of non-alcoholic fatty liver disease as defined by the fatty liver index in a type 2 diabetes population.

Cristina Alina Silaghi, Horatiu Silaghi, Horatiu Alexandru Colosi, Anca Elena Craciun, Anca Farcas, Daniel Tudor Cosma, Nicolae Hancu, Raluca Pais, Carmen Emanuela Georgescu

Open access · bronzeAbstract read
In one paragraph

Article in Clujul medical (1957), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  14. Review
  15. Hepatobiliary dysfunction in Type-2 diabetes mellitus.Journal of family medicine and primary care
    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

9 authors at 2 institutions in 2 countries.

Cristina Alina SilaghiCounty Emergency Hospital, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; Endocrinology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Horatiu Silaghi5th Surgery Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Horatiu Alexandru ColosiMedical Informatics and Biostatistics Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Anca Elena CraciunDiabetes, Nutrition and Metabolic Diseases Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; Diabetes, Nutrition and Metabolic Diseases Department, Regina Maria Clinic, Cluj-Napoca, Romania.
Anca Farcas1st Internal Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Daniel Tudor CosmaDiabetes, Nutrition and Metabolic Diseases Department, County Clinic Emergency Hospital, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Nicolae HancuDiabetes, Nutrition and Metabolic Diseases Department, Regina Maria Clinic, Cluj-Napoca, Romania.
Raluca PaisService Hépatogastroentérologie, Hôpital Pitié - Salpêtrière, Université Pierre et Marie Curie, INSERM UMRS 938, Paris, France.
Carmen Emanuela GeorgescuEndocrinology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsWe aimed to study the prevalence and the predictive factors of non-alcoholic fatty liver disease (NAFLD) defined by the fatty liver index (FLI) in type 2 diabetic patients (T2DM).

methodsThree hundred and eighty-one T2DM outpatients who regularly attended a Consulting Clinic in Cluj were retrospectivelly included. FLI, a surrogate steatosis biomarker based on body mass index (BMI), waist circumference (WC), triglycerides (TGL) and gammaglutamyl-transferase (GGT) was used to assess NAFLD in all patients. Anthropometric and biochemical parameters were measured. Hepatic steatosis (HS) was evaluated by ultrasonography.

resultsNAFLD-FLI (defined as FLI>60) was correlated with HS evaluated by ultrasound (r=0.28; p<0.001). NAFLD-FLI was detected in 79% of T2DM. The prevalence of obesity in NAFLD-FLI patients was 80%. Of the patients with normal alanine aminotransferase (ALAT), 73.8 % had NAFLD. At univariate analysis, NAFLD-FLI was correlated with age (r= -0.14; p=0.007), sex (r=0.20; p<0.001), LDL cholesterol (r=0.12; p=0.032), HDL cholesterol (r = -0.13; p=0.015), ALAT (r=0.20; p<0.001) and ASAT (r=0.19; p<0.001). At multiple regression analysis, sex, ALAT and LDL-cholesterol were independent predictors of NAFLD-FLI. After logistic regression model, ALAT, LDL-cholesterol, HOMA-IR were good independent predictors of NAFLD-FLI.

conclusionsNAFLD-FLI could be useful to identify NAFLD in T2DM patients. Subjects with T2DM had a high prevalence of NADLD-FLI even with normal ALAT levels. Our findings showed that sex, ALAT, LDL cholesterol and IR were significant and independent factors associated with the presence of NAFLD in T2DM subjects.

Indexed as

fatty liver indexnonalcoholic fatty liver diseaserisk factorstype 2 diabetes

Identifiers

PMID27004029
PMCPMC4777473
OpenAlexW2104362020

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.