Evidence map›Paper›PMID 20418545›Full record

ArticleBMJ (Clinical research ed.)2010

Estimating the population impact of screening strategies for identifying and treating people at high risk of cardiovascular disease: modelling study.

Parinya Chamnan, Rebecca K Simmons, Kay-Tee Khaw, Nicholas J Wareham, Simon J Griffin

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  3. Screening for increased cardiometabolic risk in primary care: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Parinya ChamnanMRC Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrooke's Hospital, Cambridge CB2 0QQ.
Rebecca K Simmons
Kay-Tee Khaw
Nicholas J Wareham
Simon J Griffin

Funding

Cancer Research UK C8648A3883Department of Health RP-PG-0606-1259Medical Research Council G0401527Medical Research Council G950223Medical Research Council MC_U106179471Medical Research Council MC_U106179474
6 · The paper itself

Abstract

objectiveTo estimate the potential population impact of different screening strategies for identifying and treating people at high risk of cardiovascular disease, including strategies using routine data for cardiovascular risk stratification, in light of the UK government's recommended national strategy to screen all adults aged 40-74 for cardiovascular risk.

designModelling study using data from a prospective cohort, EPIC-Norfolk (European Prospective Investigation of Cancer-Norfolk).

settingAn English county.

participants16,970 men and women aged 40-74 and free from cardiovascular disease and diabetes at baseline.

main outcome measuresThe main outcomes were the population attributable fraction, the number needed to screen to prevent one new case of cardiovascular disease, the number needed to treat to prevent one new case of cardiovascular disease, and the number of new cardiovascular events that could be prevented. Relative risk reductions for estimated treatment effects were derived from meta-analyses of clinical trials or guidelines from the National Institute for Health and Clinical Excellence.

results1362 cardiovascular events occurred over 183 586 person years of follow-up. Compared with the recommended government strategy, a stepwise screening approach using a simple risk score incorporating routine data could prevent a similar number (lower to upper estimates) of new cardiovascular events annually in the United Kingdom (26,789, 20,778 to 36,239) and 25,134 (19,450 to 34,134), respectively) but requiring only 60% of the population to be invited to attend a vascular risk assessment. A similar number of cardiovascular events (25,016, 19,563 to 33,372) could also be prevented by inviting everyone aged 50-74 for a vascular assessment. Using a participant completed Finnish diabetes risk score questionnaire or anthropometric cut-off points for risk prestratification was less effective.

conclusionsCompared with the UK government's recommended national strategy to screen all adults aged 40-74 for cardiovascular risk, an approach using routine data for cardiovascular risk stratification before inviting people at high risk for a vascular risk assessment may be similarly effective at preventing new cases of cardiovascular disease, with potential cost savings.

Indexed as

AdultCardiovascular DiseasesEnglandFemaleHumansLife StyleMaleMass ScreeningPatient Acceptance of Health CarePatient ComplianceProspective StudiesRisk AssessmentRisk FactorsSocioeconomic Factors

Identifiers

PMID20418545
PMCPMC2859321

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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.