Evidence map›Paper›PMID 33159534›Full record

ArticleDiabetologia2021

Increased particle size of triacylglycerol-enriched remnant lipoproteins, but not their plasma concentration or lipid content, augments risk prediction of incident type 2 diabetes.

Luiz Sérgio F Carvalho, Isabela M Benseñor, Ana C C Nogueira, Bruce B Duncan, Maria I Schmidt, Michael J Blaha, Peter P Toth, Steven R Jones, Raul D Santos, Paulo A Lotufo and 2 more

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In one paragraph

Article in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Luiz Sérgio F CarvalhoData Lab, Clarity Healthcare Intelligence, Jundiaí, SP, Brazil. lsergio@clarityhealth.com.br.ORCID 0000-0001-6465-356X
Isabela M BenseñorCenter for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil.
Ana C C NogueiraLaboratory of Data for Quality of Care and Outcomes Research, Institute for Strategic Management in Healthcare DF (IGESDF), Brasília, DF, Brazil.
Bruce B DuncanPostgraduate Studies Program in Epidemiology, School of Medicine and Hospital de Clínicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Maria I SchmidtPostgraduate Studies Program in Epidemiology, School of Medicine and Hospital de Clínicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Michael J BlahaThe Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA.
Peter P TothThe Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA.
Steven R JonesThe Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA.
Raul D SantosCenter for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil.ORCID 0000-0002-9860-6582
Paulo A LotufoCenter for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil.
Andrei C SpositoCardiology Division, Faculty of Medical Sciences, State University of Campinas (Unicamp), Campinas, SP, Brazil.
ELSA-Brasil study
Johns Hopkins University · USUniversidade de São Paulo · BRUniversidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 437413/2018-7Financiadora de Estudos e Projetos 01.10.0773-00Fundação de Amparo à Pesquisa do Estado de São Paulo 13/07607-8
6 · The paper itself

Abstract

aims/hypothesisType 2 diabetes prevention requires the accurate identification of those at high risk. Beyond the association of fasting serum triacylglycerols with diabetes, triacylglycerol-enriched remnant lipoproteins (TRLs) more accurately reflect pathophysiological changes that underlie progression to diabetes, such as hepatic insulin resistance, pancreatic steatosis and systemic inflammation. We hypothesised that TRL-related factors could improve risk prediction for incident diabetes.

methodsWe included individuals from the Brazilian Longitudinal Study of Adult Health cohort. We trained a logistic regression model for the risk of incident diabetes in 80% of the cohort using tenfold cross-validation, and tested the model in the remaining 20% of the cohort (test set). Variables included medical history and traits of the metabolic syndrome, followed by TRL-related measurements (plasma concentration, TRL particle diameter, cholesterol and triacylglycerol content). TRL features were measured using NMR spectroscopy. Discrimination was assessed using the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC).

resultsAmong 4463 at-risk individuals, there were 366 new cases of diabetes after a mean (±SD) of 3.7 (±0.63) years of follow-up. We derived an 18-variable model with a global AUROC of 0.846 (95% CI: 0.829, 0.869). Overall TRL-related markers were not associated with diabetes. However, TRL particle diameter increased the AUROC, particularly in individuals with HbA CONCLUSIONS/

interpretationTRL particle diameter improves the prediction of diabetes, but only in individuals with HbA

Indexed as

Particle SizeAdultArea Under CurveBrazilCholesterolDiabetes Mellitus, Type 2FemaleHumansIncidenceLipoproteinsLipoproteins, LDLLipoproteins, VLDLLogistic ModelsLongitudinal StudiesMagnetic Resonance SpectroscopyMaleCholesterolLipoproteinsLipoproteins, LDLLipoproteins, VLDLlipoprotein triglyceridelow density lipoprotein triglycerideTriglyceridesvery low density lipoprotein triglycerideParticle diameterRisk predictionTriacylglycerol-enriched remnant lipoproteinTriacylglycerol-rich lipoproteinType 2 diabetes

Identifiers

PMID33159534
OpenAlexW3097083428

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.