Evidence map›Paper›PMID 39676143›Full record

ArticleJournal of prevention (2022)2025

Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study.

Neslişah Türe, Ahmet Naci Emecen, Belgin Ünal

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Article in Journal of prevention (2022), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Neslişah TüreAyvacik District Health Directorate, 17860, Ayvacik, Canakkale, Turkey.
Ahmet Naci EmecenDepartment of Public Health, Epidemiology Subsection, Faculty of Medicine, Dokuz Eylul University, 35340, Balcova, Izmir, Turkey. ahmet.emecen@deu.edu.tr.ORCID http://orcid.org/0000-0003-3995-0591
Belgin ÜnalDepartment of Public Health, Faculty of Medicine, Dokuz Eylul University, 35340, Balcova, Izmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globorisk is a country-specific risk prediction model that estimates 10-year cardiovascular disease (CVD) risk. This study aims to evaluate the agreement between different versions of Globorisk and their ability to predict CVD in a nationwide Turkish cohort. Baseline data from 5449 participants aged 40-74 were obtained from Türkiye Chronic Diseases and Risk Factors Survey 2011. Office- and laboratory-based Globorisk risk scores were calculated using age, gender, systolic blood pressure (SBP), current smoking status, body mass index (BMI), diabetes, and total cholesterol levels. Correlation and Bland-Altman analysis were employed to assess the agreement between 10-year risk scores. Multivariable logistic regression models were estimated with Globorisk variables to predict the presence of CVD over a 6-year follow-up period. Model calibration was performed. The study identified 515 incident CVD cases during the 6-year follow-up period. There was a strong positive correlation between 10-year Globorisk versions (r = 0.89). The limit of the agreement was narrower in males (- 6.11 to 6.89%) compared to females (- 7.01 to 7.73%). Age and systolic blood pressure were associated with 6-year CVD in both office- and laboratory-based models. The models showed similar discriminative performance (AUC: 0.68) and predictive accuracy (mean absolute error: 0.009) for 6-year CVD. Both Globorisk models were strongly correlated, had similar discrimination power and predictive accuracy. The office-based Globorisk can be used instead of the laboratory-based model, especially where resources are limited.

Indexed as

Cardiovascular DiseasesAdultAgedBlood PressureBody Mass IndexCohort StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedRisk AssessmentRisk FactorsTurkeyCardiovascular diseasesGloboriskPrimary preventionRisk assessment

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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.