ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2008
Identifying individuals for primary cardiovascular disease prevention in UK general practice: priorities and resource implications.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- The Fremantle Primary Prevention Study: a multicentre randomised trial of absolute cardiovascular risk reduction.The British journal of general practice : the journal of the Royal College of General Practitioners · 2012Trial
- Article
- Cardiovascular screening in general practice in a low SES area.BMC family practice · 2012Article
- Impact of age and sex on primary preventive treatment for cardiovascular disease in the West Midlands, UK: cross sectional study.BMJ (Clinical research ed.) · 2012Article
- Cardiovascular disease risk of homeless patients.The British journal of general practice : the journal of the Royal College of General Practitioners · 2008Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Targeted cardiovascular disease prevention relies on risk-factor information held in primary care records. A risk algorithm, the 'e-Nudge', was applied to data from a population of >or=50-year-olds in 19 West Midlands practices, to identify those individuals at risk of cardiovascular disease. Altogether, 5.9% were identified aged 50-74 years at >or=20% 10-year risk based on existing data, and a further 26.4% were potentially at risk but had missing risk-factor information; 9.2% of patients aged over 50 years with established cardiovascular disease had at least one modifiable risk factor outside the audit target of the Quality and Outcomes Framework. Implications for resource allocation are discussed.
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Registered trials
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