Evidence map›Paper›PMID 24834788›Full record

ArticleThe American journal of cardiology2014

Perceived lifetime risk for cardiovascular disease (from the Dallas Heart Study).

Elisabeth Joye Petr, Colby R Ayers, Ambarish Pandey, James A de Lemos, Tiffany M Powell-Wiley, Amit Khera, Donald M Lloyd-Jones, Jarett D Berry

Abstract read
In one paragraph

Article in The American journal of cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. What CVD risk factors predict self-perceived risk of having a myocardial infarction? A cross-sectional study.International journal of cardiology. Cardiovascular risk and prevention · 2022
    Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Perceived Risk of Cardiovascular Disease and Health Behaviors in Black College Students.Journal of best practices in health professions diversity : research, education and policy · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

8 authors.

Elisabeth Joye PetrDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Colby R AyersDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Ambarish PandeyDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
James A de LemosDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Tiffany M Powell-WileyCardiovascular and Pulmonary Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Amit KheraDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Donald M Lloyd-JonesDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Northwestern University, Chicago, Illinois.
Jarett D BerryDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas. Electronic address: jarett.berry@utsouthwestern.edu.

Funding

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
Magnetic Resonance Imaging of Carotid Artery Subclincal AtherosclerosisK23HL092229 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI BERRY, JARETT D · 2009 to 2013
$661k
NCATS NIH HHS UL1 TR001105NHLBI NIH HHS K23 HL092229
6 · The paper itself

Abstract

Lifetime risk estimation for cardiovascular disease (CVD) has been proposed as a useful strategy to improve risk communication in the primary prevention setting. However, the perception of lifetime risk for CVD is unknown. We included 2,998 subjects from the Dallas Heart Study. Lifetime risk for developing CVD was classified as high (≥39%) versus low (<39%) according to risk factor burden as described in our previously published algorithm. Perception of lifetime risk for myocardial infarction was assessed by way of a 5-point scale. Baseline characteristics were compared across levels of perceived lifetime risk. Multivariable logistic regression analyses were performed to determine the association of participant characteristics with level of perceived lifetime risk for CVD and with correctness of perceptions. Of the 2,998 participants, 64.8% (n = 1,942) were classified as having high predicted lifetime risk for CVD. There was significant discordance between perceived and predicted lifetime risk. After multivariable adjustment, family history of premature myocardial infarction, high self-reported stress, and low perceived health were all strongly associated with high perceived lifetime risk (odds ratio [OR] 2.37, 95% confidence interval [CI] 1.72 to 3.27; OR 2.17, 95% CI 1.66 to 2.83; and OR 2.71, 95% CI 2.09 to 3.53; respectively). However, the association between traditional CVD risk factors and high perceived lifetime risk was more modest. In conclusion, misperception of lifetime risk for CVD is common and frequently reflects the influence of factors other than traditional risk factor levels. These findings highlight the importance of effectively communicating the significance of traditional risk factors in determining the lifetime risk for CVD.

Indexed as

AdolescentAdultAgedAlgorithmsCardiovascular DiseasesFemaleHealth Status IndicatorsHealth SurveysHumansMaleMiddle AgedPredictive Value of TestsProbabilityRisk AssessmentRisk FactorsTexas

Identifiers

PMID24834788
PMCPMC4440865

What OpenQuestion holds

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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.