Evidence map›Paper›PMID 29519347›Full record

ArticleJournal of the American College of Cardiology2018

10-Year Resource Utilization and Costs for Cardiovascular Care.

Leslee J Shaw, Abhinav Goyal, Christina Mehta, Joe Xie, Lawrence Phillips, Anita Kelkar, Joseph Knapper, Daniel S Berman, Khurram Nasir, Emir Veledar and 6 more

Abstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2018. 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
–field-weighted citation impact
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.

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  7. The impact of follow-up care for patients presenting with non-typical chest pain at the emergency department.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Leslee J ShawEmory University School of Medicine, Atlanta, Georgia. Electronic address: lshaw3@emory.edu.
Abhinav GoyalEmory University School of Medicine, Atlanta, Georgia.
Christina MehtaEmory University School of Public Health, Atlanta, Georgia.
Joe XieEmory University School of Medicine, Atlanta, Georgia.
Lawrence PhillipsNew York University School of Medicine, New York, New York.
Anita KelkarEmory University School of Medicine, Atlanta, Georgia.
Joseph KnapperEmory University School of Medicine, Atlanta, Georgia.
Daniel S BermanCedars-Sinai Medical Center, Los Angeles, California.
Khurram NasirBaptist Health South Florida, South Miami, Florida.
Emir VeledarBaptist Health South Florida, South Miami, Florida.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland.
Roger BlumenthalJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland.
James K MinWeill Cornell Medical College, New York, New York.
Reza FazelEmory University School of Medicine, Atlanta, Georgia.
Peter W F WilsonEmory University School of Medicine, Atlanta, Georgia.
Matthew J BudoffUniversity of California, Los Angeles, David Geffen School of Medicine, Los Angeles, California.

Funding

Economic Consequences of Advanced Testing for Subclinical Cardiovascular DiseaseRC1HL100915 · NHLBI · EMORY UNIVERSITY · PI SHAW, LESLEE J · 2009 to 2010
$996k
NHLBI NIH HHS RC1 HL100915
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) imparts a heavy economic burden on the U.S. health care system. Evidence regarding the long-term costs after comprehensive CVD screening is limited.

objectivesThis study calculated 10-year health care costs for 6,814 asymptomatic participants enrolled in MESA (Multi-Ethnic Study of Atherosclerosis), a registry sponsored by the National Heart, Lung, and Blood Institute, National Institutes of Health.

methodsCumulative 10-year costs for CVD medications, office visits, diagnostic procedures, coronary revascularization, and hospitalizations were calculated from detailed follow-up data. Costs were derived by using Medicare nationwide and zip code-specific costs, inflation corrected, discounted at 3% per year, and presented in 2014 U.S. dollars.

resultsRisk factor prevalence increased dramatically and, by 10 years, diabetes, hypertension, and dyslipidemia was reported in 19%, 57%, and 53%, respectively. Self-reported symptoms (i.e., chest pain or shortness of breath) were common (approximately 40% of enrollees). At 10 years, approximately one-third of enrollees reported having an echocardiogram or exercise test, whereas 7% underwent invasive coronary angiography. These utilization patterns resulted in 10-year health care costs of $23,142. The largest proportion of costs was associated with CVD medication use (78%). Approximately $2 of every $10 were spent for outpatient visits and diagnostic testing among the elderly, obese, those with a high-sensitivity C-reactive protein level >3 mg/l, or coronary artery calcium score (CACS) ≥400. Costs varied widely from <$7,700 for low-risk (Framingham risk score <6%, 0 CACS, and normal glucose measurements at baseline) to >$35,800 for high-risk (persons with diabetes, Framingham risk score ≥20%, or CACS ≥400) subgroups. Among high-risk enrollees, CVD costs accounted for $74 million of the $155 million consumed by MESA participants.

conclusionsLongitudinal patterns of health care resource use after screening revealed new evidence on the economic burden of treatment and testing patterns not previously reported. Maintenance of a healthy population has the potential to markedly reduce the economic burden of CVD among asymptomatic individuals.

Indexed as

Cardiovascular DiseasesPatient Care ManagementAsymptomatic DiseasesFemaleHealth Care CostsHealth Care RationingHumansMaleMass ScreeningMiddle AgedNeeds AssessmentPrevalenceRisk FactorsUnited Statesasymptomaticcardiovascular disease screeningeconomicslong-term follow-up

Identifiers

PMID29519347
PMCPMC5846485

What OpenQuestion holds

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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.