ArticleQuality & safety in health care2006
Potential population impact of the UK government strategy for reducing the burden of coronary heart disease in England: comparing primary and secondary prevention strategies.
Article in Quality & safety in health care, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 29 citations in OpenAlex.
- Prognostic value of triglyceride glucose index in population at high cardiovascular disease risk.Cardiovascular diabetology · 2023Article
- Hypercholesterolaemia - practical information for non-specialists.Archives of medical science : AMS · 2018Article
- Appropriateness of cardiovascular care in elderly adult cancer survivors.Medical oncology (Northwood, London, England) · 2013Article
- The use of epidemiological measures to estimate the impact of primary prevention interventions on CHD, stroke and cancer outcomes: experiences from Herefordshire, UK.Journal of epidemiology and global health · 2012Article
- Predictors of health-related quality of life in patients at risk for cardiovascular disease in European primary care.PloS one · 2011Article
- Estimating the population impact of screening strategies for identifying and treating people at high risk of cardiovascular disease: modelling study.BMJ (Clinical research ed.) · 2010Article
- Self reported receipt of care consistent with 32 quality indicators: national population survey of adults aged 50 or more in England.BMJ (Clinical research ed.) · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo use population impact measures to help prioritise the National Service Framework (NSF) strategies recommended by the UK government for reducing the population burden of coronary heart disease (CHD).
designModelling study.
settingPrimary care. DATA SOURCES: Published data on incidence, baseline risk and prevalence of risk factors for CHD and the proportion treated, eligible for treatment, and adhering to the different interventions. Data from meta-analyses and systematic reviews for relative risk and relative risk reduction associated with different risk factors and interventions.
main outcome measuresPopulation impact measures for the decline in the prevalence of a risk factor and the increased uptake of interventions expressed as number of CHD events prevented in the population.
resultsIf lifestyle targets for primary prevention are met, 73 522 (95% CI 54,117 to 95,826) CHD events would be prevented per year, with the greatest gain coming from reduced cholesterol and blood pressure levels. In those at high risk of developing CHD, achieving target levels for lifestyle interventions would prevent 4410 (95% CI 1993 to 8014) CHD events and for pharmacological treatments 2008 (95% CI 790 to 3627) CHD events. For patients with established CHD, achieving NSF targets will result in the prevention of 3067 (95% CI 1572 to 5878) CHD events through improved drug treatment and 1103 (95% CI 179 to 2097) events through lifestyle interventions.
conclusionCurrent strategies focus largely on secondary prevention, but many more cardiovascular events would be prevented by meeting the government's public health and primary prevention targets than targeting people at high risk or those with established heart disease.
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Registered trials
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.