Evidence map›Paper›PMID 26841073›Full record

Observational studyAtherosclerosis2016

15-Year prognostic utility of coronary artery calcium scoring for all-cause mortality in the elderly.

Bríain Ó Hartaigh, Valentina Valenti, Iksung Cho, Joshua Schulman-Marcus, Heidi Gransar, Joseph Knapper, Anita A Kelkar, Joseph X Xie, Hyuk-Jae Chang, Leslee J Shaw and 2 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Atherosclerosis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

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  6. Long-term prognosis and predictors of outcomes after negative stress echocardiography.The international journal of cardiovascular imaging · 2020
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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

12 authors at 4 institutions in 2 countries.

Bríain Ó HartaighDepartment of Radiology and Medicine, Dalio Institute of Cardiovascular Imaging, NewYork-Presbyterian Hospital/Weill Cornell Medical College, New York, NY, USA.
Valentina ValentiDepartment of Radiology and Medicine, Dalio Institute of Cardiovascular Imaging, NewYork-Presbyterian Hospital/Weill Cornell Medical College, New York, NY, USA.
Iksung ChoDepartment of Radiology and Medicine, Dalio Institute of Cardiovascular Imaging, NewYork-Presbyterian Hospital/Weill Cornell Medical College, New York, NY, USA.
Joshua Schulman-MarcusDepartment of Radiology and Medicine, Dalio Institute of Cardiovascular Imaging, NewYork-Presbyterian Hospital/Weill Cornell Medical College, New York, NY, USA.
Heidi GransarDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Joseph KnapperDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Anita A KelkarDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Joseph X XieDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Hyuk-Jae ChangDivision of Cardiology, Severance Cardiovascular Hospital and Severance Biomedical Science Institute, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea.
Leslee J ShawDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Tracy Q CallisterTennessee Heart and Vascular Institute, Hendersonville, TN, USA.
James K MinDepartment of Radiology and Medicine, Dalio Institute of Cardiovascular Imaging, NewYork-Presbyterian Hospital/Weill Cornell Medical College, New York, NY, USA. Electronic address: jkm2001@med.cornell.edu.
NewYork–Presbyterian Hospital · USEmory University · USCedars-Sinai Medical Center · USYonsei University Health System · KR

Funding

Gender-Specific Coronary Plaque Characteristics and Risk of Myocardial InfarctionR01HL115150 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MIN, JAMES K · 2012 to 2016
$3.5M
Computed Tomography to Predict Response to Cardiac Resynchronization TherapyK23HL098370 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI TRUONG, QUYNH A. · 2010 to 2014
$816k
NHLBI NIH HHS K23 HL098370NHLBI NIH HHS K23HL098370NHLBI NIH HHS L30 HL093806NHLBI NIH HHS L30HL093896NHLBI NIH HHS R01 HL115150
6 · The paper itself

Abstract

introductionPrior studies have demonstrated a decline in the predictive ability of conventional risk factors (RF) with advancing age, emphasizing the need for novel tools to improve risk stratification in the elderly. Coronary artery calcification (CAC) is a robust predictor of adverse cardiovascular events, but its long-term prognostic utility beyond RFs in elderly persons is unknown.

methodsA consecutive series of 9715 individuals underwent CAC scoring and were followed for a mean of 14.6 ± 1.1 years. Multivariable Cox proportional hazards regression (HR) with 95% confidence intervals (95% CI) was employed to assess the independent relationship of CAC and RFs with all-cause death. The incremental value of CAC, stratified by age, was examined by using an area under the receiver operator characteristic curve (AUC) and category-free net reclassification improvement (NRI).

resultsOf the overall study sample, 728 (7.5%) adults (mean age 74.2 ± 4.2 years; 55.6% female) were 70 years or older, of which 157 (21.6%) died. The presence of any CAC was associated with a >4-fold (95% CI = 2.84-6.59) adjusted risk of death for those over the age of 70, which was higher compared with younger study counterparts, or other measured RFs. For individuals 70 years or older, the discriminatory ability of CAC improved upon that of RFs alone (C statistics 0.764 vs. 0.675, P < 0.001). CAC also enabled improved reclassification (category-free NRI = 84%, P < 0.001) when added to RFs.

conclusionIn a large-scale observational cohort registry, CAC improves prediction, discrimination, and reclassification of elderly individuals at risk for future death.

Indexed as

Computed Tomography AngiographyAdultAgedAge FactorsArea Under CurveCause of DeathChi-Square DistributionCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansLongitudinal StudiesMaleMiddle AgedMultivariate AnalysisAll-cause deathCoronary artery calcificationDiscriminationElderlyReclassificationRisk factors

Identifiers

PMID26841073
PMCPMC4764445
OpenAlexW2284895398

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.