Evidence map›Paper›PMID 41768491›Full record

ArticleBMJ nutrition, prevention & health2025

Development and validation of a Jordan-specific risk score for type 2 diabetes mellitus.

Asalah Alareeki, Susanne F Awad, Julia A Critchley, Kamel M Ajlouni, Yousef Khader, Laith J Abu-Raddad

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Article in BMJ nutrition, prevention & health, 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

6 authors.

Asalah AlareekiInfectious Disease Epidemiology Group, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar.ORCID https://orcid.org/0000-0001-8555-4878
Susanne F AwadInfectious Disease Epidemiology Group, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar.ORCID https://orcid.org/0000-0002-5060-7404
Julia A CritchleyPopulation Health Research Institute, St George's School of Health and Medical Sciences, Tooting Campus, City St George's, University of London, London, UK.ORCID https://orcid.org/0000-0002-5248-4188
Kamel M AjlouniThe National Centre for Diabetes, Endocrine and Genetics, The University of Jordan, Amman, Jordan.ORCID https://orcid.org/0000-0001-5569-6306
Yousef KhaderDepartment of Public Health and Community Medicine, Jordan University of Science and Technology Faculty of Medicine, Irbid, Jordan.ORCID https://orcid.org/0000-0002-7830-6857
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar.ORCID https://orcid.org/0000-0003-0790-0506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Jordan has a high prevalence of type 2 diabetes mellitus (T2DM), but it is estimated that nearly half of all cases in the Middle East and North Africa region remain undiagnosed. This study aimed to develop, validate and assess the diagnostic performance of a diabetes risk score to identify Jordanians at high risk of T2DM. Methods: Random samples of 5000 Jordanians aged 20-79 years were simulated at different time points using an existing mathematical model describing T2DM epidemiology in Jordan. The risk score was derived through logistic regression applied to the simulated samples, using age, sex, obesity, smoking and physical inactivity as predictive variables. Cut-off values were determined based on the maximum sum of sensitivity and specificity. Results: In 2020, the estimated area under the curve (AUC), sensitivity and specificity of the derived Jordan Diabetes Risk Score were 0.79 (95% CI: 0.77 to 0.80), 78.7% (95% CI: 77.5 to 79.8%) and 64.2% (95% CI: 62.9 to 65.6%), respectively. The positive and negative predictive values were 29.7% (95% CI: 28.4 to 31.0%) and 94.0% (95% CI: 93.3 to 94.7%), with 42.7% of Jordanians at high risk for diabetes. Similar diagnostic metrics were observed for the 2030 and 2050 risk scores, with AUCs of 0.78 (95% CI: 0.77 to 0.80) and 0.77 (95% CI: 0.76 to 0.79), respectively. The performance of the derived model-based score was comparable to a survey-based score and demonstrated better performance within the Jordanian population compared with existing regional and international scores. Conclusions: The Jordan Diabetes Risk Score demonstrated strong diagnostic performance, offering an effective, non-invasive and accessible tool for diabetes screening. This tool can facilitate early detection, timely intervention and increased awareness, ultimately aiming to reduce the burden of T2DM and its complications in Jordan.

Indexed as

Diabetes mellitus

Identifiers

PMID41768491
PMCPMC12936580

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