Evidence map›Paper›PMID 42472123›Full record

ArticleVascular health and risk management2026

Comparison of FINDRISC and the Framingham Model for Predicting CHD Risk: Results from the Kharameh Cohort Study.

Andishe Hamedi, Mozhgan Seif, Mohammad Hossein Sharifi, Abbas Rezaianzadeh, Hossein Lashkardoost, Fatemeh Baberi, Jafar Hassanzadeh

Abstract readComparative Study
In one paragraph

Article in Vascular health and risk management, 2026. 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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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

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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

7 authors.

Andishe HamediStudent Research Committee, Department of Epidemiology, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0003-4484-2915
Mozhgan SeifNon-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad Hossein SharifiResearch Center for Traditional Medicine and History of Medicine, Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Abbas RezaianzadehColorectal Research Center, Department of Community Medicine, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Hossein LashkardoostDepartment of Public Health, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Fatemeh BaberiStudent Research Committee, Department of Epidemiology, Shiraz University of Medical Sciences, Shiraz, Iran.
Jafar HassanzadehDepartment of Epidemiology, Research Centre for Health Sciences, Institute of Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary heart disease is a leading cause of death worldwide, making early risk identification essential. This study compares the predictive performance of FINDRISC and the Framingham model in the Kharameh Cohort. Methods: This prospective cohort study included 9,469 participants aged 40-70 years from the Kharameh cohort (a branch of the PERSIAN study) who were free of CHD at baseline and were followed for 6 years to identify incident CHD events. Data on FINDRISC components, as well as laboratory and demographic variables, were collected at enrollment. Logistic regression models were developed using the total FINDRISC score and its individual items, and their predictive performance was compared with the Framingham non‑laboratory risk score using 10‑fold cross‑validation and metrics including AUC‑ROC, sensitivity, and specificity. Results: During a six‑year follow‑up of 9,469 participants (mean age 51.6 years, 55.6% female), 540 incident CHD events (5.7%) were identified. The total FINDRISC score was significantly higher in individuals who developed CHD (11.35 vs. 9.59, P<0.001). However, the total FINDRISC score alone showed weak discriminatory power (AUC=58.6%, 95% CI: 55.9-61.3%). An item-based FINDRISC model demonstrated improved performance (AUC=71%, 95% CI: 68.9-73%), and further enhancement with gender, systolic blood pressure, and total cholesterol yielded the highest predictive accuracy (AUC=75.2%, 95% CI: 73%-77%). The non‑laboratory Framingham risk score (AUC=73.3%, 95% CI: 71.4-75.1%) showed similar discriminatory performance compared with the enhanced item‑based FINDRISC models. Conclusion: The enhanced item-based FINDRISC model, incorporating gender and systolic blood pressure showed comparable performance to the Framingham non-laboratory model, providing a simple, accessible screening tool for the Iranian population.

Indexed as

Coronary DiseaseDecision Support TechniquesAdultAgedArea Under CurveBiomarkersBlood PressureFemaleHeart Disease Risk FactorsHumansIncidenceIranLogistic ModelsMaleMiddle AgedPredictive Value of TestsBiomarkerscoronary heart diseaseFINDRISCFramingham risk scorerisk prediction

Identifiers

PMID42472123
PMCPMC13380240

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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.