Evidence map›Paper›PMID 29653642›Full record

ArticleAmerican heart journal2018

Improving patient risk communication: Translating cardiovascular risk into standardized risk percentiles.

Ann Marie Navar, Michael J Pencina, Hillary Mulder, Pierre Elias, Eric D Peterson

Abstract read
In one paragraph

Article in American heart journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Could Patients At Low Cardiovascular Risk Be Better Stratified?Arquivos brasileiros de cardiologia · 2023
    Article
  9. Article
  10. Article
  11. Observational
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

5 authors.

Ann Marie NavarDuke Clinical Research Institute, Durham, NC. Electronic address: ann.navar@dm.duke.edu.
Michael J PencinaDuke Clinical Research Institute, Durham, NC.
Hillary MulderDuke Clinical Research Institute, Durham, NC.
Pierre EliasDuke Clinical Research Institute, Durham, NC.
Eric D PetersonDuke Clinical Research Institute, Durham, NC.

Funding

Preventing Cardiovascular Disease through Improved Risk Prediction and CommunicationK01HL133416 · NHLBI · DUKE UNIVERSITY · PI NAVAR, ANN MARIE · 2016 to 2020
$707k
NHLBI NIH HHS K01 HL133416
6 · The paper itself

Abstract

backgroundCurrent cholesterol guidelines recommend using 10-year risk of atherosclerotic cardiovascular disease (ASCVD) to guide informed decisions regarding statin therapy, yet patients may have difficulty conceptualizing absolute risk estimates. Peer comparisons may provide an improved tool for patient risk comprehension.

methodsUsing data from the 2009-2014 National Health and Nutrition Examination Survey (NHANES), we estimated standardized risk percentiles for various age-, sex-, and race-specific subgroups based on their 10-year ASCVD risks using the Pooled Cohort Equations.

resultsWe examined 9160 adults in NHANES who were free of cardiovascular disease and had complete clinical data. Among specific age, sex, and race groups, we estimated the distribution of 10-year risk, calculating the 10-year risk corresponding to each percentile in order to generate standardized cardiovascular risk percentiles. Estimated 10-year ASCVD absolute risk varied markedly by age, sex, and race subgroups. A 10-year risk of 7.0% would put a 55 year-old black male in the 20th percentile relative to his peers (ie, at lower risk than 80% of his peers), whereas a 10-year risk of 7.0% would put a 55 year-old white female in the 95th percentile (i.e., only 5% of her peers would have higher risk). Standardized cardiovascular risk percentiles by age, race, and sex are available online at populationrelativerisk.dcri.org.

conclusionCardiovascular risk varies substantially by age, sex, and race. These data allow for 10-year absolute risks of ASCVD to be translated into a standardized cardiovascular risk percentile, providing patients with information that is easy to understanding regarding how their personal risk of cardiovascular disease compares with their age-, sex-, and race-matched peers.

Indexed as

CommunicationAdultAgedAge FactorsAtherosclerosisCardiovascular DiseasesCohort StudiesDecision MakingEthnicityFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedNutrition SurveysReference StandardsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID29653642
PMCPMC5901888

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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.