Evidence map›Paper›PMID 26146522›Full record

ArticleDiabetology & metabolic syndrome2015

Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study.

Laura M Raffield, Fang-Chi Hsu, Amanda J Cox, J Jeffrey Carr, Barry I Freedman, Donald W Bowden

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  8. Observational
  9. Volumetric bone mineral density of the spine predicts mortality in African-American men with type 2 diabetes.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    Article
  10. Article
  11. Review
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  13. Bone Mineral Density of the Radius Predicts All-Cause Mortality in Patients With Type 2 Diabetes: Diabetes Heart Study.Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
    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

6 authors at 2 institutions in 1 country.

Laura M RaffieldMolecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC USA ; Center for Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC USA ; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC USA.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC USA.
Amanda J CoxCenter for Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC USA ; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC USA ; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC USA.
J Jeffrey CarrDepartment of Radiology, Vanderbilt University Medical Center, Nashville, TN USA.
Barry I FreedmanDepartment of Internal Medicine - Nephrology, Wake Forest School of Medicine, Winston-Salem, NC USA.
Donald W BowdenCenter for Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC USA ; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC USA ; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC USA ; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157 USA.
Wake Forest University · USVanderbilt University Medical Center · US

Funding

Epidemiology of cardiovascular disease in diabetesR01HL067348 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2001 to 2004
$4.3M
Whole Genome Association Analysis of the Diabetes Heart StudyR01HL092301 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2010 to 2013
$2.7M
Genetics of Bone and Vascular Calcium in Type 2 DiabetesR01AR048797 · NIAMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CARR, JOHN JEFFREY · 2001 to 2004
$1.3M
Analysis of Coding Variants Associated with Age-Related PhenotypesF31AG044879 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAFFIELD, LAURA M · 2013 to 2015
$86k
NHLBI NIH HHS R01 HL067348NHLBI NIH HHS R01 HL092301NIAMS NIH HHS R01 AR048797NIA NIH HHS F31 AG044879
6 · The paper itself

Abstract

backgroundMany studies evaluated the best predictors for cardiovascular disease (CVD) events in individuals with type 2 diabetes (T2D), but few studies examined the factors most strongly associated with mortality in T2D. The Diabetes Heart Study (DHS), an intensively phenotyped family-based cohort enriched for T2D, provided an opportunity to address this question.

methodsAssociations with mortality were examined in 1022 European Americans affected by T2D from 476 DHS families. All-cause mortality was 31.2 % over an average 9.6 years of follow-up. Cox proportional hazards models with sandwich-based variance estimation were used to evaluate associations between all-cause and CVD mortality and 24 demographic and clinical factors, including coronary artery calcified plaque (CAC), carotid artery intima-media thickness, medications, body mass index, waist hip ratio, lipids, blood pressure, kidney function, QT interval, educational attainment, and glycemic control. Nominally significant factors (p < 0.25) from univariate analyses were included in model selection (backward elimination, forward selection, and stepwise selection). Age and sex were included in all models.

resultsThe all-cause mortality model selected from the full DHS sample included age, sex, CAC, urine albumin: creatinine ratio (UACR), insulin use, current smoking, and educational attainment. The CVD mortality model selected from the full sample included age, sex, CAC, UACR, triglycerides, and history of CVD events. Beyond age, the most significant associations for both mortality models were CAC (2.03 × 10(-4) ≤ p ≤ 0.001) and UACR (1.99 × 10(-8) ≤ p ≤ 2.23 × 10(-8)). To confirm the validity of the main predictors identified with model selection using the full sample, a two-fold cross-validation approach was used, and similar results were observed.

conclusionsThis analysis highlights important demographic and clinical factors, notably CAC and albuminuria, which predict mortality in the general population of patients with T2D.

Indexed as

Coronary artery calcified plaqueMortalityType 2 diabetesUrine albumin:creatinine ratio

Identifiers

PMID26146522
PMCPMC4490739
OpenAlexW1516521057

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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.