Evidence map›Paper›PMID 27279346›Full record

ArticleBMJ (Clinical research ed.)2016

Cardiovascular screening to reduce the burden from cardiovascular disease: microsimulation study to quantify policy options.

Chris Kypridemos, Kirk Allen, Graeme L Hickey, Maria Guzman-Castillo, Piotr Bandosz, Iain Buchan, Simon Capewell, Martin O'Flaherty

Open access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Delivery and impact of the NHS Health Check in the first 8 years: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Pooled it
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  10. The cost-effectiveness of a uniform versus age-based threshold for one-off screening for prevention of cardiovascular disease.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  11. Article
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  13. Bayesian multistate modelling of incomplete chronic disease burden data.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2023
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  14. Article
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  16. NHS Health Checks: an observational study of equity and outcomes 2009-2017.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
    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

8 authors at 3 institutions in 2 countries.

Chris KypridemosDepartment of Public Health and Policy, University of Liverpool, Liverpool L69 3GB, UK c.kypridemos@liverpool.ac.uk.
Kirk AllenDepartment of Public Health and Policy, University of Liverpool, Liverpool L69 3GB, UK Lancaster Medical School, Lancaster University, Lancaster, UK.
Graeme L HickeyDepartment of Biostatistics, University of Liverpool, Liverpool, UK.
Maria Guzman-CastilloDepartment of Public Health and Policy, University of Liverpool, Liverpool L69 3GB, UK.
Piotr BandoszDepartment of Public Health and Policy, University of Liverpool, Liverpool L69 3GB, UK Department of Prevention and Medical Education, Medical University of Gdansk, Gdansk, Poland.
Iain BuchanFarr Institute @ HeRC, University of Manchester, Manchester, UK.
Simon CapewellDepartment of Public Health and Policy, University of Liverpool, Liverpool L69 3GB, UK.
Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool L69 3GB, UK.
University of Liverpool · GBGdańsk Medical University · PLUniversity of Manchester · GB

Funding

Medical Research Council G0900847Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

objectivesTo estimate the potential impact of universal screening for primary prevention of cardiovascular disease (National Health Service Health Checks) on disease burden and socioeconomic inequalities in health in England, and to compare universal screening with alternative feasible strategies.

designMicrosimulation study of a close-to-reality synthetic population. Five scenarios were considered: baseline scenario, assuming that current trends in risk factors will continue in the future; universal screening; screening concentrated only in the most deprived areas; structural population-wide intervention; and combination of population-wide intervention and concentrated screening.

settingSynthetic population with similar characteristics to the community dwelling population of England.

participantsSynthetic people with traits informed by the health survey for England.

main outcome measureCardiovascular disease cases and deaths prevented or postponed by 2030, stratified by fifths of socioeconomic status using the index of multiple deprivation.

resultsCompared with the baseline scenario, universal screening may prevent or postpone approximately 19 000 cases (interquartile range 11 000-28 000) and 3000 deaths (-1000-6000); concentrated screening 17 000 cases (9000-26 000) and 2000 deaths (-1000-5000); population-wide intervention 67 000 cases (57 000-77 000) and 8000 deaths (4000-11 000); and the combination of the population-wide intervention and concentrated screening 82 000 cases (73 000-93 000) and 9000 deaths (6000-13 000). The most equitable strategy would be the combination of the population-wide intervention and concentrated screening, followed by concentrated screening alone and the population-wide intervention. Universal screening had the least apparent impact on socioeconomic inequalities in health.

conclusionsWhen primary prevention strategies for reducing cardiovascular disease burden and inequalities are compared, universal screening seems less effective than alternative strategies, which incorporate population-wide approaches. Further research is needed to identify the best mix of population-wide and risk targeted CVD strategies to maximise cost effectiveness and minimise inequalities.

Indexed as

Cardiovascular DiseasesCost of IllnessMass ScreeningAdultAgedCost-Benefit AnalysisEarly Medical InterventionEnglandFemaleHealthcare DisparitiesHumansMaleMiddle AgedPolicy MakingPrimary PreventionQuality Improvement

Identifiers

PMID27279346
PMCPMC4898640
OpenAlexW2414777308

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.