Assessing the diagnostic accuracy of biochemical, anthropometric, and combined indices for metabolic syndrome prediction in a cohort from Qatar Biobank
Combined indices, particularly LAP, demonstrate superior discriminative ability for MetS in this Qatari cohort. Incorporating LAP into routine clinical practice could improve MetS detection and facilitate timely interventions. Further validation in larger, diverse populations is, however, warranted.
Authors
- Abdelali Agouni
- Abrar Tariq Abdelrahman (ORCID: https://orcid.org/0000-0001-9641-546X)
- Hicham Raïq
- Muhammad Ammar Zahid
- Abdelhamid Kerkadi
Institutions
- Qatar University (QA)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-12-30
- DOI
- https://doi.org/10.1371/journal.pone.0339340
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fonds National de la Recherche Luxembourg
- Qatar University
- Qingdao University of Science and Technology
- Qatar National Research Fund