Cited by 25Lipoproteins and Cardiovascular HealthHealth Promotion and Cardiovascular PreventionHealthcare Systems and Public Health

The contribution of primary prevention medication and dietary change in coronary mortality reduction in England between 2000 and 2007: a modelling study

Open access
Guzman-Castillo, M, Ahmed, R, Hawkins, N, Scholes, S, Wilkinson, E, Lucy, J, Capewell, S, O'Flaherty, M·2015·BMJ Open

Abstract

Objective: To analyse the falls in coronary heart disease (CHD) mortality in England between 2000 and 2007 and quantify the relative contributions from preventive medications and population-wide changes in blood pressure (BP) and cholesterol levels, particularly by exploring socioeconomic inequalities. Design: A modelling study. Setting: Sources of data included controlled trials and meta-analyses, national surveys and official statistics. Participants: English population aged 25+ in 2000–2007. Main outcome measures: Number of deaths prevented or postponed (DPPs) in 2007 by socioeconomic status. We used the IMPACT SEC model which applies the relative risk reduction quantified in previous randomised controlled trials and meta-analyses to partition the mortality reduction among specific treatments and risk factor changes. Results: Between 2000 and 2007, approximately 20 400 DPPs were attributable to reductions in BP and cholesterol in the English population. The substantial decline in BP was responsible for approximately 13 000 DPPs. Approximately 1800 DPPs came from medications and some 11 200 DPPs from population-wide changes. Reduction in population BP prevented almost twofold more deaths in the most deprived quintile compared with the most affluent. Reduction in cholesterol resulted in approximately 7400 DPPs; approximately 5300 DPPs were attributable to statin use and approximately 2100 DPPs to population-wide changes. Statins prevented almost 50% more deaths in the most affluent quintile compared with the most deprived. Conversely, population-wide changes in cholesterol prevented threefold more deaths in the most deprived quintile compared with the most affluent. Conclusions: Population-wide secular changes in systolic blood pressure (SBP) and cholesterol levels helped to substantially reduce CHD mortality and the associated socioeconomic disparities. Mortality reductions were, in absolute terms, greatest in the most deprived quintiles, mainly reflecting their bigger initial burden of disease. Statins for high-risk individuals also made an important contribution but maintained socioeconomic inequalities. Our results strengthen the case for greater emphasis on preventive approaches, particularly population-based policies to reduce SBP and cholesterol.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmjopen-2014-006070

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Guzman-Castillo, M., Ahmed, R., Hawkins, N., Scholes, S., Wilkinson, E., Lucy, J., Capewell, S., & O'Flaherty, M.
Affiliations
  • University of Liverpool (GB)
  • University of British Columbia (CA)
  • University College London (GB)
  • University of Chester (GB)
  • Public Health Wales (GB)
  • Department of Public Health and Policy, University of Liverpool, Liverpool, UK
Corresponding author
Guzman-Castillo, M
Venue
BMJ Open
Publisher
BMJ
Published
2015-01
Volume
5
Issue
1
Pages
e006070
ISSN
2044-6055 (ISSN-L)
OpenAlex
W2168915121
Cited by
25
References
3
Citations by year
2025: 2 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 3 · 2018: 4 · 2017: 2 · 2016: 3 · 2015: 4
FWCI
4.37
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • BMJ Open (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • National Institute for Health and Care Research (SPHR-LIL-PH1-MCD)
  • School for Public Health Research
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
  • Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
Keywords
coronary heart disease mortality, primary prevention, statins, blood pressure reduction, cholesterol levels, socioeconomic disparities, mortality reduction, cardiovascular risk factors, England
MeSH terms
Adult, Aged, Antihypertensive Agents, Blood Pressure, Cholesterol, Coronary Disease, England, Female, Humans, Hypertension, Male, Middle Aged, Primary Prevention, Risk Factors, Sex Factors, Socioeconomic Factors, Models, Statistical, Hydroxymethylglutaryl-CoA Reductase Inhibitors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review