Evidence map›Paper›PMID 34663793›Full record

ArticleNutrition & diabetes2021

Growth differentiation factor-15 and the association between type 2 diabetes and liver fibrosis in NAFLD.

Josh Bilson, Eleonora Scorletti, Laure B Bindels, Paul R Afolabi, Giovanni Targher, Philip C Calder, Jaswinder K Sethi, Christopher D Byrne

Open access · goldAbstract read
In one paragraph

Article in Nutrition & diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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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 3 institutions in 4 countries.

Josh BilsonHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0003-4665-3886
Eleonora ScorlettiHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Laure B BindelsMetabolism and Nutrition Research Group, Louvain Drug Research Institute, Université Catholique de Louvain, Brussels, Belgium.ORCID 0000-0003-3747-3234
Paul R AfolabiHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Giovanni TargherSection of Endocrinology, Diabetes and Metabolism, Department of Medicine, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.ORCID 0000-0002-4325-3900
Philip C CalderHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Jaswinder K SethiHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK. J.Sethi@soton.ac.uk.ORCID 0000-0003-4157-0475
Christopher D ByrneHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK. C.D.Byrne@soton.ac.uk.ORCID 0000-0001-6322-7753
National Health Service · GBAzienda Ospedaliera Universitaria Integrata Verona · ITUCLouvain · BE

Funding

DH | National Institute for Health Research (NIHR) IS-BRC-20004Wellcome Trust 206453/Z/17/ZWellcome Trust (Wellcome) 206453/Z/17/Z
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a strong risk factor for liver fibrosis in non-alcoholic fatty liver disease (NAFLD). It remains uncertain why T2DM increases the risk of liver fibrosis. It has been suggested that growth differentiation factor-15 (GDF-15) concentrations increase the risk of liver fibrosis. We aimed to investigate (a) whether GDF-15 concentrations were associated with liver fibrosis and involved in the relationship between T2DM and liver fibrosis and (b) what factors linked with T2DM are associated with increased GDF-15 concentrations.

methodsNinety-nine patients with NAFLD (61% men, 42.4% T2DM) were studied. Serum GDF-15 concentrations were measured by electro-chemiluminescence immunoassay. Vibration-controlled transient elastography (VCTE)-validated thresholds were used to assess liver fibrosis. Regression modelling, receiver operator characteristic curve analysis and Sobel test statistics were used to test associations, risk predictors and the involvement of GDF-15 in the relationship between T2DM and liver fibrosis, respectively.

resultsPatients with NAFLD and T2DM (n = 42) had higher serum GDF-15 concentrations [mean (SD): 1271.0 (902.1) vs. 640.3 (332.5) pg/ml, p < 0.0001], and a higher proportion had VCTE assessed ≥F2 fibrosis (48.8 vs. 23.2%, p = 0.01) than those without T2DM. GDF-15 was independently associated with liver fibrosis (p = 0.001), and GDF-15 was the most important single factor predicting ≥F2 or ≥F3 fibrosis (≥F2 fibrosis AUROC 0.75, (95% CI 0.63-0.86), p < 0.001, with sensitivity, specificity, positive predictive (PPV) and negative predictive (NPV) values of 56.3%, 86.9%, 69.2% and 79.1%, respectively). GDF-15 was involved in the association between T2DM and ≥F2 fibrosis (Sobel test statistic 2.90, p = 0.004). Other factors associated with T2DM explained 60% of the variance in GDF-15 concentrations (p < 0.0001). HbA1c concentrations alone explained 30% of the variance (p < 0.0001).

conclusionsGDF-15 concentrations are a predictor of liver fibrosis and potentially involved in the association between T2DM and liver fibrosis in NAFLD. HbA1c concentrations explain a large proportion of the variance in GDF-15 concentrations.

Indexed as

AdultAgedDiabetes Mellitus, Type 2Elasticity Imaging TechniquesFemaleGlycated HemoglobinGrowth Differentiation Factor 15HumansImmunoassayLiver CirrhosisLogistic ModelsMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseRandomized Controlled Trials as TopicRisk FactorsGDF15 protein, humanGlycated HemoglobinGrowth Differentiation Factor 15

Identifiers

PMID34663793
PMCPMC8523689
OpenAlexW3206310002

What OpenQuestion holds

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LicenceCC BY
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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.