Evidence map›Paper›PMID 24714549›Full record

ArticlePloS one2014

Does inclusion of education and marital status improve SCORE performance in central and eastern europe and former soviet union? findings from MONICA and HAPIEE cohorts.

Olga Vikhireva, Grazyna Broda, Ruzena Kubinova, Sofia Malyutina, Andrzej Pająk, Abdonas Tamosiunas, Zdena Skodova, Galina Simonova, Martin Bobak, Hynek Pikhart

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 7 institutions in 5 countries.

Olga VikhirevaEpidemiology and Public Health Department, University College London, London, United Kingdom.
Grazyna BrodaDepartment of CVD Epidemiology, Prevention, and Health Promotion, the Cardinal Stefan Wyszynski Institute of Cardiology, Warsaw, Poland.
Ruzena KubinovaEnvironmental Health Monitoring System, National Institute of Public Health, Prague, Czech Republic.
Sofia MalyutinaInstitute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia; State Novosibirsk Medical University, Novosibirsk, Russia.
Andrzej PająkDepartment of Epidemiology and Population Sciences, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland.
Abdonas TamosiunasLaboratory of Population Research, Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Zdena SkodovaPreventive Cardiology Department, Institute of Clinical and Experimental Medicine, Prague, Czech Republic.
Galina SimonovaInstitute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia.
Martin BobakEpidemiology and Public Health Department, University College London, London, United Kingdom.
Hynek PikhartEpidemiology and Public Health Department, University College London, London, United Kingdom.
University College London · GBInstitute of Cardiology · PLInstitute of Clinical and Experimental Medicine · CZJagiellonian University · PLLithuanian University of Health Sciences · LTNational Institute of Public Health · CZNovosibirsk State Medical University · RU

Funding

Health disparities and agingin societies in transitionR01AG023522 · NIA · UNIVERSITY COLLEGE LONDON · PI MARMOT, MICHAEL G · 2004 to 2008
$2.2M
NIA NIH HHS 1R01 AG23522NIA NIH HHS R01 AG023522Wellcome Trust
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe SCORE scale predicts the 10-year risk of fatal atherosclerotic cardiovascular disease (CVD), based on conventional risk factors. The high-risk version of SCORE is recommended for Central and Eastern Europe and former Soviet Union (CEE/FSU), due to high CVD mortality rates in these countries. Given the pronounced social gradient in cardiovascular mortality in the region, it is important to consider social factors in the CVD risk prediction. We investigated whether adding education and marital status to SCORE benefits its prognostic performance in two sets of population-based CEE/FSU cohorts.

methodsThe WHO MONICA (MONItoring of trends and determinants in CArdiovascular disease) cohorts from the Czech Republic, Poland (Warsaw and Tarnobrzeg), Lithuania (Kaunas), and Russia (Novosibirsk) were followed from the mid-1980s (577 atherosclerotic CVD deaths among 14,969 participants with non-missing data). The HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe) study follows Czech, Polish (Krakow), and Russian (Novosibirsk) cohorts from 2002-05 (395 atherosclerotic CVD deaths in 19,900 individuals with non-missing data).

resultsIn MONICA and HAPIEE, the high-risk SCORE ≥5% at baseline strongly and significantly predicted fatal CVD both before and after adjustment for education and marital status. After controlling for SCORE, lower education and non-married status were significantly associated with CVD mortality in some samples. SCORE extension by these additional risk factors only slightly improved indices of calibration and discrimination (integrated discrimination improvement <5% in men and ≤1% in women).

conclusionExtending SCORE by education and marital status failed to substantially improve its prognostic performance in population-based CEE/FSU cohorts.

Indexed as

AdultAgedAged, 80 and overAtherosclerosisCardiovascular DiseasesCohort StudiesEurope, EasternFemaleHumansMaleMarital StatusMiddle AgedPrognosisRisk FactorsRussiaSocioeconomic Factors

Identifiers

PMID24714549
PMCPMC3979770
OpenAlexW2046639513

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Registered trials

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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.