Evidence map›Paper›PMID 39610534›Full record

ArticleJournal of diabetes and metabolic disorders2024

Can nutritional scores improve the WHO calibrated non-laboratory risk prediction model for cardiovascular disease? Golestan Cohort Study.

Masoumeh Jabbari, Hassan Eini-Zinab, Ali Kalhori, Meisam Barati, Farid Zayeri, Hossein Poustchi, Akram Pourshams, Azita Hekmatdoost, Reza Malekzadeh

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Article in Journal of diabetes and metabolic disorders, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Masoumeh JabbariDepartment of Community Nutrition, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hassan Eini-ZinabDepartment of Community Nutrition, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali KalhoriDepartment of Food Science and Technology, Nutritional Science, The Ohio State University, Columbus, OH USA.
Meisam BaratiDepartment of Cellular and Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Farid ZayeriProteomics Research Center, Department of Biostatistics, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hossein PoustchiLiver and Pancreaticobiliary Disease Research Center, Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, 14117-13135 Iran.
Akram PourshamsDigestive Oncology Research Center, Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Azita HekmatdoostDepartment of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza MalekzadehDigestive Oncology Research Center, Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Evaluation of the added value of Dietary Approaches to Stop Hypertension (DASH) and Mediterranean diet scores on the prediction model of the World Health Organization (WHO) to predict 10-year cardiovascular disease (CVD) mortality using the Golestan Cohort Study data. Methods: A total of 44,648 participants (25,268 women and 18,531 men) were included in the final analysis. To assess the external validity of the non-laboratory risk model of WHO, the Area Under the Curve (AUC) and calibration plot methods were used. The multivariate Cox proportional hazards regression analysis was used to evaluate the association of 10-year CVD mortality risk with DASH and Mediterranean scores and their components. The added value of each significant variables was evaluated by the concordance C-statistic and integrated discrimination improvement (IDI). Statistical significance was defined as Results: DASH and Mediterranean diet scores were not significant predictors of 10-year CVD mortality in both genders ( Conclusion: Inclusion of DASH and Mediterranean diet scores and their components did not improve WHO risk prediction model performance and predictive ability to predict 10-year CVD mortality. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01463-x.

Indexed as

Added valueCVD mortalityExternal validityModel improvementNon-laboratory prediction model

Identifiers

PMID39610534
PMCPMC11599643

What Socratic holds

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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 Socratic graph.