Evidence map›Paper›PMID 22518234›Full record

ArticleJournal of vascular and interventional neurology2008

Accuracy of self-perception of cardiovascular risk in the community.

Haitham M Hussein, Pansy Harris-Lane, Mohamed M Abdelmoula, Gabriela Vazquez

Abstract read
In one paragraph

Article in Journal of vascular and interventional neurology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

4 authors.

Haitham M HusseinDepartments of Neurology, University of Minnesota, Minneapolis, MN and University of Medicine and Dentistry of New Jersey, Newark, NJ.
Pansy Harris-Lane
Mohamed M Abdelmoula
Gabriela Vazquez

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of individual risk is an important part of the primary prevention of coronary disease and stroke. The accuracy by which individuals perceive their risk is unclear. We aimed to explore the accuracy of self-perceived cardiovascular risk in the community, and the value of one-to-one interview, using a risk assessment tool, in increasing the accuracy.

methodsParticipants in 2 community health fair events in 2006 were asked to assign their 5-year cardiovascular risk to one of 3 categories (high, moderate and low), before and after being counseled about their risk using a Framingham-based risk calculator. Agreement between perceived risk and calculated risk was studied using kappa analysis. Change in perception was the indicator of response to the study intervention. Predictors of accuracy, underestimation, and responsiveness to the study intervention were identified using logistic regression.

resultsThere were 146 participants that were included in the analysis (mean age±SD, 47±15; 64% women). Rate of inaccuracy was 66% (mainly due to underestimation of risk n=86 participants). Agreement between perceived and objective risk was poor (kappa±standard error [SE] 09.0±4.3%). After the study intervention, the rate of accuracy significantly increased to 74% (n=108, p<0.0001). Post intervention kappa±SE 60.9±5.7%. Age >45 years predicted inaccuracy. Age > 45 years, non-African-American race, and alcohol use predicted underestimation. Family history of cardiovascular diseases or risk factors predicted responsiveness.

conclusionSelf perception of the 5-year risk of cardiovascular events is inaccurate, mainly due to underestimation. A targeted educational session using a risk assessment tool improved the accuracy.

Indexed as

community surveycoronary artery diseaserisk factorsstroke prevention

Identifiers

PMID22518234
PMCPMC3317327

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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.