©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Meta-Anal. Jun 18, 2025; 13(2): 107388
Published online Jun 18, 2025. doi: 10.13105/wjma.v13.i2.107388
Published online Jun 18, 2025. doi: 10.13105/wjma.v13.i2.107388
Frailty models and social frailty
Dilara Donmez Guler, Zeynep Kemik, Esra Ates Bulut, Department of Geriatric Medicine, University of Health Sciences, Adana City Research and Training Hospital, Adana 01130, Türkiye
Author contributions: Donmez Guler D and Kemik Z contributed to the review of literature, writing the draft; Ates Bulut E contributed to the design of the manuscript, critical revision; and all authors thoroughly reviewed and endorsed the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Esra Ates Bulut, MD, Associate Professor, Department of Geriatric Medicine, University of Health Sciences, Adana City Research and Training Hospital, No. 1 Yüreğir, Adana 01130, Türkiye. esraates@yahoo.com
Received: March 24, 2025
Revised: April 18, 2025
Accepted: June 9, 2025
Published online: June 18, 2025
Processing time: 86 Days and 5.9 Hours
Revised: April 18, 2025
Accepted: June 9, 2025
Published online: June 18, 2025
Processing time: 86 Days and 5.9 Hours
Core Tip
Core Tip: Frailty is a geriatric syndrome defined by a diminished capacity to maintain homeostasis with aging. There are several models of frailty, including the physical frailty phenotype, cognitive frailty, social frailty, and mixed physical-psychosocial models. Although there have been suggestions to screen older adults for frailty, there is still no consensus on its definition or diagnosis. Artificial intelligence approaches show promise in identifying frail patients and managing their care.