Evidence map›Paper›PMID 21639906›Full record

ArticleBMC cardiovascular disorders2011

Do changes in traditional coronary heart disease risk factors over time explain the association between socio-economic status and coronary heart disease?

Peter Franks, Paul C Winters, Daniel J Tancredi, Kevin A Fiscella

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% of its field
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

  1. Allostatic Load and Cardiovascular Disease: A Systematic Review.American journal of preventive medicine · 2025
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  6. Disparities in the Use of Atherectomy and Intravascular Lithotripsy for Percutaneous Coronary Intervention.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
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  11. Refractive outcomes using Barrett formulas and patient characteristics of cataract surgery patients with and without prior LASIK/PRK.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
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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 at 3 institutions in 1 country.

Peter FranksCenter for Healthcare Policy and Research, University of California at Davis, University of California, Davis, 4860 Y Street, Suite 2300, Sacramento, California 95817, USA. pfranks@ucdavis.edu
Paul C Winters
Daniel J Tancredi
Kevin A Fiscella
University of California, Davis · USUniversity of Rochester · USUniversity of Rochester Medical Center · US

Funding

Using Social Risk to Guide Coronary Heart Disease (CHD) Preventive TreatmentR01HL081066 · NHLBI · UNIVERSITY OF ROCHESTER · PI FISCELLA, KEVIN ANTHONY · 2007 to 2009
$820k
NHLBI NIH HHS 1R01 HL081066-01A2
6 · The paper itself

Abstract

backgroundSocioeconomic status (SES) predicts coronary heart disease independently of the traditional risk factors included in the Framingham risk score. However, it is unknown whether changes in Framingham risk score variables over time explain the association between SES and coronary heart disease. We examined this question given its relevance to risk assessment in clinical decision making.

methodsThe Atherosclerosis Risk in Communities study data (initiated in 1987 with 10-years follow-up of 15,495 adults aged 45-64 years in four Southern and Mid-Western communities) were used. SES was assessed at baseline, dichotomized as low SES (defined as low education and/or low income) or not. The time dependent variables - smoking, total and high density lipoprotein cholesterol, systolic blood pressure and use of blood pressure lowering medication - were assessed every three years. Ten-year incidence of coronary heart disease was based on EKG and cardiac enzyme criteria, or adjudicated death certificate data. Cox survival analyses examined the contribution of SES to heart disease risk independent of baseline Framingham risk score, without and with further adjustment for the time dependent variables.

resultsAdjusting for baseline Framingham risk score, low SES was associated with an increased coronary heart disease risk (hazard ratio [HR] = 1.53; 95% Confidence Interval [CI], 1.27 to 1.85). After further adjustment for the time dependent variables, the SES effect remained significant (HR = 1.44; 95% CI, 1.19 to 1.74).

conclusionUsing Framingham Risk Score alone under estimated the coronary heart disease risk in low SES persons. This bias was not eliminated by subsequent changes in Framingham risk score variables.

Indexed as

Social ClassAntihypertensive AgentsBiomarkersBlood PressureCholesterolCoronary DiseaseDyslipidemiasEducational StatusFemaleHumansHypertensionIncidenceIncomeMaleMiddle AgedProportional Hazards ModelsAntihypertensive AgentsBiomarkersCholesterol

Identifiers

PMID21639906
PMCPMC3130693
OpenAlexW2126853617

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.