Evidence map›Paper›PMID 24886106›Full record

ArticleCardiovascular diabetology2014

Influence of a family history of type 2 diabetes, demographic and clinical data on carotid intima-media thickness in patients with type 1 diabetes: a cross-sectional study.

Carlos Roberto Moraes de Andrade Junior, Eliete Leão Clemente Silva, Maria de Fátima Bevilaqua da Matta, Marcia Bueno Castier, Maria Luiza Garcia Rosa, Marília de Brito Gomes

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Article in Cardiovascular diabetology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

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9citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Carlos Roberto Moraes de Andrade JuniorEndocrinology Department at University Hospital of Fluminense Federal University, Rio de Janeiro, Brazil, and at Diabetes Unit, State University Hospital of Rio de Janeiro, Rio de Janeiro, Brazil. carlosjr.andrade@gmail.com.
Eliete Leão Clemente Silva
Maria de Fátima Bevilaqua da Matta
Marcia Bueno Castier
Maria Luiza Garcia Rosa
Marília de Brito Gomes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntima-media thickness (IMT) of the common carotid artery is a surrogate end point of cardiovascular disease (CVD). Identifying the factors associated with a higher IMT may contribute to the identification of subjects with higher CVD risk. Our objective was to compare the common carotid IMT of type 1 diabetes patients to healthy control subjects. The secondary objective was to determine factors associated with a higher carotid IMT.

methodsWe conducted a cross-sectional study between March 2009 and October 2013, comprising 127 type 1 diabetes patients and 125 control subjects matched by age, gender and body mass index (BMI). Carotid IMT was measured using semi-automated edge detection software.

resultsType 1 diabetes patients had a higher median IMT compared with control subjects (0.538; IQR: 0.500-0.607 vs 0.513 mm; IQR: 0.481-0.557, respectively p = 0.001). Women with type 1 diabetes had a higher median IMT difference compared to the control group (0.537; IQR: 0.495-0.596 vs 0.502 mm; IQR: 0.472-0.543, respectively p = 0.003) than did men with type 1 diabetes (0.547; IQR: 0.504-0.613 vs 0.528 mm; IQR: 0.492-0.575, respectively p = 0.2). Age and diabetes duration had an additive effect on the IMT of type 1 diabetes patients. Multivariate gamma regression model analysis showed that in type 1 diabetes patients, the IMT was associated with age (Exp (β) = 1.006, p < 0.001), duration of diabetes (Exp (β) = 1.004, p = 0.001), BMI (Exp (β) = 1.005, p = 0.021), family history of type 2 diabetes (Exp (β) = 1.044, p = 0.033), total cholesterol (Exp (β) = 0.999, p = 0.001) and creatinine clearance (Exp (β) = 1.000, p = 0.043).

conclusionsPatients with type 1 diabetes have increased IMT, a marker of subclinical atherosclerosis. The CVD risk may be similar between men and women with type 1 diabetes, suggesting a loss of gender protection. Also, CVD risk may be higher in those with a family history of type 2 diabetes. Prospective studies are needed to confirm the predictive value of these findings and the causal effect between IMT and CVD in patients with type 1 diabetes.

Indexed as

Carotid Intima-Media ThicknessAdolescentAdultCross-Sectional StudiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedRisk FactorsStatistics as TopicYoung Adult

Identifiers

PMID24886106
PMCPMC4016785

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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.