Evidence map›Paper›PMID 27294770›Full record

ArticleJournal of racial and ethnic health disparities2017

Cardiovascular Disease Risk Score: Results from the Filipino-American Women Cardiovascular Study.

Irma B Ancheta, Cynthia A Battie, Annabelle S Volgman, Christine V Ancheta, Latha Palaniappan

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Article in Journal of racial and ethnic health disparities, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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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

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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

6 citing papers in PubMed.

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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

5 authors.

Irma B AnchetaUniversity of Florida, Jacksonville, FL, USA. irmaancheta1@gmail.com.
Cynthia A BattieUniversity of North Florida, Jacksonville, FL, USA.
Annabelle S VolgmanRush University Medical Center, Chicago, IL, USA.
Christine V AnchetaUniversity of South Florida, Tampa, FL, USA.
Latha PalaniappanStanford University, Stanford, CA, USA.

Funding

CAUSES: Causes of Asian American mortality Understood by Socio-Economic StatusR01MD007012 · NIMHD · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, PALANIAPPAN, LATHA P · 2012 to 2016
$1.9M
NIMHD NIH HHS R01 MD007012
6 · The paper itself

Abstract

introductionAlthough cardiovascular disease (CVD) is a leading cause of morbidity and mortality of Filipino-Americans, conventional CVD risk calculators may not be accurate for this population. CVD risk scores of a group of Filipino-American women (FAW) were measured using the major risk calculators. Secondly, the sensitivity of the various calculators to obesity was determined.

methodsThis is a cross-sectional descriptive study that enrolled 40-65-year-old FAW (n = 236), during a community-based health screening study. Ten-year CVD risk was calculated using the Framingham Risk Score (FRS), Reynolds Risk Score (RRS), and Atherosclerotic Cardiovascular Disease (ASCVD) calculators. The 30-year risk FRS and the lifetime ASCVD calculators were also determined.

resultsLevels of predicted CVD risk varied as a function of the calculator. The 10-year ASCVD calculator classified 12 % of participants with ≥10 % risk, but the 10-year FRS and RRS calculators classified all participants with ≤10 % risk. The 30-year "Hard" Lipid and BMI FRS calculators classified 32 and 43 % of participants with high (≥20 %) risk, respectively, while 95 % of participants were classified with ≥20 % risk by the lifetime ASCVD calculator. The percent of participants with elevated CVD risk increased as a function of waist circumference for most risk score calculators.

conclusionsDifferences in risk score as a function of the risk score calculator indicate the need for outcome studies in this population. Increased waist circumference was associated with increased CVD risk scores underscoring the need for obesity control as a primary prevention of CVD in FAW.

Indexed as

AdultAgedAsianCardiovascular DiseasesCross-Sectional StudiesFemaleHumansMiddle AgedObesityRisk AssessmentRisk FactorsUnited StatesWaist CircumferenceAtherosclerotic Cardiovascular Disease Risk ScoreFilipino–American womenFramingham Risk ScoreWaist circumference

Identifiers

PMID27294770

What OpenQuestion holds

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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.