Evidence map›Paper›PMID 25121352›Full record

ArticlePreventing chronic disease2014

Factors related to coronary heart disease risk among men: validation of the Framingham Risk Score.

Jennifer Gander, Xuemei Sui, Linda J Hazlett, Bo Cai, James R Hébert, Steven N Blair

Abstract readValidation Study
In one paragraph

Article in Preventing chronic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Observational
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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

6 authors.

Jennifer GanderUniversity of South Carolina, Columbia, South Carolina.
Xuemei SuiUniversity of South Carolina, 921 Assembly Street, Rm 226, Columbia, SC 29208. E-mail: msui@mailbox.sc.edu.
Linda J HazlettUniversity of South Carolina, Columbia, South Carolina.
Bo CaiUniversity of South Carolina, Columbia, South Carolina.
James R HébertUniversity of South Carolina, Columbia, South Carolina.
Steven N BlairUniversity of South Carolina, Columbia, South Carolina.

Funding

Impact of Physical Fitness and Exercise on HealthR37AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 2002 to 2005
$2.7M
CORONARY ARTERY CALCIUM, EXERCISE TESTS, AND CHD OUTCOMER01HL062508 · NHLBI · COOPER INSTITUTE · PI LAMONTE, MICHAEL J · 1999 to 2004
$2.5M
IMPACT OF PHYSICAL FITNESS &EXERCISE ON HEALTHR01AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 1986 to 2001
$1.1M
Understanding Patterns of Change in Obesity and Physical Activity in AdultsR21DK088195 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI SUI, XUEMEI · 2010 to 2011
$397k
NHLBI NIH HHS HL62508NHLBI NIH HHS R01 HL062508NIA NIH HHS AG06945NIA NIH HHS R01 AG006945NIA NIH HHS R37 AG006945NIDDK NIH HHS DK088195NIDDK NIH HHS R21 DK088195
6 · The paper itself

Abstract

introductionCoronary heart disease (CHD) remains a leading cause of death in the United States. The Framingham Risk Score (FRS) was developed to help clinicians in determining their patients' CHD risk. We hypothesize that the FRS will be significantly predictive of CHD events among men in the Aerobics Center Longitudinal Study (ACLS) population.

methodsOur study consisted of 34,557 men who attended the Cooper Clinic in Dallas, Texas, for a baseline clinical examination from 1972 through 2002. CHD events included self-reported myocardial infarction or revascularization or death due to CHD. During the 12-year follow-up 587 CHD events occurred. Multivariable-adjusted hazard ratios generated from ACLS analysis were compared with the application of FRS to the Framingham Heart Study (FHS).

resultsThe ACLS cohort produced similar hazard ratios to the FHS. The adjusted Cox proportional hazard model revealed that men with total cholesterol of 280 mg/dL or greater were 2.21 (95% confidence interval (CI), 1.59-3.09) times more likely to have a CHD event than men with total cholesterol from 160 through 199mg/dL; men with diabetes were 1.63 (95% CI, 1.35-1.98) times more likely to experience a CHD event than men without diabetes.

conclusionThe FRS significantly predicts CHD events in the ACLS cohort. To the best of our knowledge, this is the first report of a large, single-center cohort study to validate the FRS by using extensive laboratory and clinical measurements.

Indexed as

AdultAgedCholesterolCohort StudiesComorbidityCoronary DiseaseDiabetes MellitusHumansHypercholesterolemiaMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsRisk AssessmentRisk FactorsTexasCholesterol

Identifiers

PMID25121352
PMCPMC4133511

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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.