ArticleBMC medical research methodology2023
Laboratory-based versus non-laboratory-based World Health Organization risk equations for assessment of cardiovascular disease risk.
Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Discrimination and calibration performances of non-laboratory-based and laboratory-based cardiovascular risk predictions: a systematic review.Open heart · 2025Pooled it
- Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review.BMC medicine · 2024Pooled it
- Comparing Non-Laboratory-Based and Laboratory-Based Cardiovascular Risk Predictions: Systematic Review and Meta-Analysis.Health science reports · 2026Review
- Systematic review and meta-analysis of cardiovascular disease risk among hypertensive patients in Africa.International journal of cardiology. Cardiovascular risk and prevention · 2026Review
- Housing distance, salt intake and cardiovascular risk in rural Aceh Tamiang: Insights utilizing the WHO 10-year non-laboratory assessment.International journal of cardiology. Cardiovascular risk and prevention · 2026Article
- Article
- Congruity between WHO ISH laboratory and non-laboratory-based charts in an urban population in India: A cross-sectional community-based analytical study.Journal of family medicine and primary care · 2026Article
- Exploring predictive factors of physiological, biochemical indicators, and lifestyle for macrovascular complications in type 2 diabetes: a synthesis of machine learning models.Frontiers in endocrinology · 2026Article
- Article
- Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study.Journal of prevention (2022) · 2025Article
- Unveiling Cardiovascular Risk Among Older Adults in Eastern India: A Community-Based Cross-Sectional Study.Cureus · 2025Article
- Real-world feasibility, accuracy and acceptability of automated retinal photography and AI-based cardiovascular disease risk assessment in Australian primary care settings: a pragmatic trial.NPJ digital medicine · 2025Article
- Association of frailty with non-laboratory based cardiovascular disease risk score among older adults and elderly population: insights from longitudinal aging study in India (LASI-1st wave).BMC public health · 2025Article
- Association of cardiovascular disease risk with liver steatosis and fibrosis in people with HIV in low- and middle-income countries.AIDS (London, England) · 2025Article
- Article
- Article
- Office-based risk equation of Globorisk for prediction of ten-years cardiovascular risk among Iranian population: findings from Fasa PERSIAN cohort study.BMC medical research methodology · 2024Article
- Temporal trends of thyroid cancer between 2010 and 2019 in Asian countries by geographical region and SDI, comparison with global data.Aging medicine (Milton (N.S.W)) · 2023Article
- A comparison of laboratory-based and office-based Framingham risk scores to predict 10-year risk of cardiovascular diseases: a population-based study.Journal of translational medicine · 2023Article
- A comparative assessment between Globorisk and WHO cardiovascular disease risk scores: a population-based study.Scientific reports · 2023Article
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5 authors.
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Abstract
backgroundThe WHO model has laboratory-based and non-laboratory-based versions for 10-year risk prediction of cardiovascular diseases. Due to the fact that in some settings, there may not be the necessary facilities for risk assessment with a laboratory-based model, the present study aimed to determine the agreement between laboratory-based and non-laboratory-based WHO cardiovascular risk equations.
methodsIn this cross-sectional study, we used the baseline data of 6796 individuals without a history of cardiovascular disease and stroke who participated in the Fasa cohort study. The risk factors of the laboratory-based model included age, sex, systolic blood pressure (SBP), diabetes, smoking and total cholesterol, while the non-laboratory-based model included age, sex, SBP, smoking and BMI. Kappa coefficients was used to determine the agreement between the grouped risk and Bland-Altman plots were used to determine the agreement between the scores of the two models. Sensitivity and specificity of non-laboratory-based model were measured at the high-risk threshold.
resultsIn the whole population, the agreement between the grouped risk of the two models was substantial (percent agreement = 79.0%, kappa = 0.68). The agreement was better in males than in females. A substantial agreement was observed in all males (percent agreement = 79.8%, kappa = 0.70) and males < 60 years old (percent agreement = 79.9%, kappa = 0.67). The agreement in males ≥ 60 years old was moderate (percent agreement = 79.7%, kappa = 0.59). The agreement among females was also substantial (percent agreement = 78.3%, kappa = 0.66). The agreement for females < 60 years old, (percent agreement = 78.8%, kappa = 0.61) was substantial and for females ≥ 60 years old, (percent agreement = 75.8%, kappa = 0.46) was moderate. According to Bland-Altman plots, the limit of agreement was (95%CI: -4.2% to 4.3%) for males and (95%CI: -4.1% to 4.6%) for females. The range of agreement was suitable for both males < 60 years (95%CI: -3.8% to 4.0%) and females < 60 years (95%CI: -3.6% to 3.9%). However, it was not suitable for males ≥ 60 years (95% CI: -5.8% to 5.5%) and females ≥ 60 years (95%CI: -5.7% to 7.4%). At the high-risk threshold of 20% in non-laboratory and laboratory-based models, the sensitivity of the non-laboratory-based model was 25.7%, 70.7%, 35.7%, and 35.4% for males < 60 years, males ≥ 60 years, females < 60 years, and females ≥ 60 years, respectively. At the high-risk threshold of 10% in non-laboratory-based and 20% in laboratory-based models, the non-laboratory model has high sensitivity of 100% for males ≥ 60 years, females < 60 years, females ≥ 60 years, and 91.4% for males < 60 years.
conclusionA good agreement was observed between laboratory-based and non-laboratory-based versions of the WHO risk model. Also, at the risk threshold of 10% to detect high-risk individuals, the non-laboratory-based model has acceptable sensitivity for practical risk assessment and the screening programs in settings where resources are limited and people do not have access to laboratory tests.
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