Indirect estimation of the prevalence of type 2 diabetes mellitus in the sub-population of Tehran: using non-laboratory risk-score models in Iran

Given the strong performance of the model, it appears that indirect method can provide a cost-effective and simple approach to assess disease prevalence and intervention effectiveness.

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Publication Details

Journal
BMC Public Health
Published
2024-10-12
DOI
https://doi.org/10.1186/s12889-024-20278-2
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00

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article

Indirect estimation of the prevalence of type 2 diabetes mellitus in the sub-population of Tehran: using non-laboratory risk-score models in Iran

Samaneh Akbarpour, Yosra Azizpour, Mehdi Yaseri, Akbar Fotouhi et al.
BMC Public Health
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Indirect estimation of the prevalence of type 2 diabetes mellitus in the sub-population of Tehran: using non-laboratory risk-score models in Iran

Samaneh Akbarpour, Yosra Azizpour, Mehdi Yaseri, Akbar Fotouhi, Samaneh Asgari
article en

Abstract

Given the strong performance of the model, it appears that indirect method can provide a cost-effective and simple approach to assess disease prevalence and intervention effectiveness.

BMC Public HealthVol. 24(1)
Research Institute for Endocrine Sciences (IR), Shahid Beheshti University of Medical Sciences (IR), Tehran University of Medical Sciences (IR)
National Institute for Health and Care Research, Tehran University of Medical Sciences and Health Services
Openalex Percentile: Top 72%
Diabetes, Cardiovascular Risks, and Lipoproteins
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Indirect estimation of the prevalence of type 2 diabetes mellitus in the sub-population of Tehran: using non-laboratory risk-score models in Iran — Samaneh Akbarpour, Yosra Azizpour, et al. · BMC Public Health (2024) | TGRS Research Map | TGRS