Evidence map›Paper›PMID 25496604›Full record

ArticleCardiovascular diabetology2014

Prediction of mortality using a multi-bed vascular calcification score in the Diabetes Heart Study.

Amanda J Cox, Fang-Chi Hsu, Subhashish Agarwal, Barry I Freedman, David M Herrington, J Jeffrey Carr, Donald W Bowden

Open access · goldAbstract read
In one paragraph

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 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.5field-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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  14. Imaging Approaches to the Diagnosis of Vascular Diseases.Current atherosclerosis reports · 2022
    Review
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  17. Observational
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  20. 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
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

7 authors at 3 institutions in 2 countries.

Amanda J Cox
Fang-Chi Hsu
Subhashish Agarwal
Barry I Freedman
David M Herrington
J Jeffrey Carr
Donald W BowdenCenter for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA. dbowden@wakehealth.edu.
Wake Forest University · USGriffith University · AUNorthwestern University · US

Funding

WORKER PROTECTION AGAINST AIRBORNE INFLUENZA - A PILOT STUDYM01RR007122 · NCRR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY · 1992 to 2010
$35.2M
Epidemiology of cardiovascular disease in diabetesR01HL067348 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2001 to 2004
$4.3M
Genetic Epidemiology of Cerebrovascular Disease and Cognition in DiabetesR01NS058700 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2008 to 2012
$3.0M
Whole Genome Association Analysis of the Diabetes Heart StudyR01HL092301 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2010 to 2013
$2.7M
Genetic Epidemiology of Vascular Calcified PlaqueF32HL085989 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEHTINEN, ALLISON · 2006 to 2008
$69k
NCRR NIH HHS M01 RR007122NCRR NIH HHS M01 RR07122NHLBI NIH HHS F32 HL085989NHLBI NIH HHS R01 HL067348NHLBI NIH HHS R01 HL092301NHLBI NIH HHS R01 HL67348NINDS NIH HHS R01 NS058700
6 · The paper itself

Abstract

backgroundVascular calcified plaque, a measure of subclinical cardiovascular disease (CVD), is unlikely to be limited to a single vascular bed in patients with multiple risk factors. Consideration of vascular calcified plaque as a global phenomenon may allow for a more accurate assessment of the CVD burden. The aim of this study was to examine the utility of a combined vascular calcified plaque score in the prediction of mortality.

methodsVascular calcified plaque scores from the coronary, carotid, and abdominal aortic vascular beds and a derived multi-bed score were examined for associations with all-cause and CVD-mortality in 699 European-American type 2 diabetes (T2D) affected individuals from the Diabetes Heart Study. The ability of calcified plaque to improve prediction beyond Framingham risk factors was assessed.

resultsOver 8.4 ± 2.3 years (mean ± standard deviation) of follow-up, 156 (22.3%) participants were deceased, 74 (10.6%) from CVD causes. All calcified plaque scores were significantly associated with all-cause (HR: 1.4-1.8; p < 1x10(-5)) and CVD-mortality (HR: 1.5-1.9; p < 1×10(-4)) following adjustment for Framingham risk factors. Associations were strongest for coronary calcified plaque. Improvement in prediction of outcome beyond Framingham risk factors was greatest using coronary calcified plaque for all-cause mortality (AUC: 0.720 to 0.757, p = 0.004) and the multi-bed score for CVD mortality (AUC: 0.731 to 0.767, p = 0.008).

conclusionsAlthough coronary calcified plaque and the multi-bed score were the strongest predictors of all-cause mortality and CVD-mortality respectively in this T2D-affected sample, carotid and abdominal aortic calcified plaque scores also significantly improved prediction of outcome beyond traditional risk factors and should not be discounted as risk stratification tools.

Indexed as

Predictive Value of TestsAgedCardiovascular DiseasesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPlaque, AtheroscleroticRisk FactorsTomography, X-Ray ComputedVascular Calcification

Identifiers

PMID25496604
PMCPMC4266952
OpenAlexW2158898057

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.