Bridging the gap: a narrative review of osteoporosis disability, adipokines, and the role of AI in postmenopausal women

dc.authorid0000-0003-0083-1819
dc.contributor.authorTariq, Saba
dc.contributor.authorJabbar, Sohail
dc.contributor.authorAhmad, Awais
dc.contributor.authorTariq, Sundus
dc.date.accessioned2024-07-11T07:18:51Z
dc.date.available2024-07-11T07:18:51Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü
dc.departmentİstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Fizyoloji Ana Bilim Dalı
dc.description.abstractOsteoporosis is a global health concern characterized by reduced bone density and compromised bone quality, resulting in an increased risk of fractures, particularly in postmenopausal women. The assessment of bone mineral density (BMD) plays a pivotal role in diagnosing osteoporosis, as it accounts for approximately 70% of overall bone strength. The World Health Organization (WHO) has endorsed BMD measurement as a reliable method for diagnosing this condition. In Pakistan, the incidence of bone fractures is on the rise, largely attributable to an aging population and a range of contributing factors. Understanding the global and local prevalence of osteoporosis, its impact on morbidity and mortality, and the contributing factors is vital for developing effective preventive and therapeutic strategies. The role of adipokines, including chemerin, vaspin, and omentin-1, in bone metabolism is an emerging area of investigation. These adipokines play diverse roles in physiology, ranging from inflammation and metabolic regulation to cardiovascular health. Understanding their potential impact on bone health is a topic of ongoing research. The intricate relationship between bone density, bone quality, and overall bone strength is central to understanding the diagnosis and management of osteoporosis. Current innovation in machine learning and predictive model can bring revolution in the field of bone health and osteoporosis. Early identification of people with osteoporosis or risk of fracture through machine learning can prevent disability and improve the quality of life.
dc.description.sponsorshipGrant Support & Financial Disclosures: King Salman Center for Disability Researchen_US
dc.identifier.citationTariq, S., Jabbar, S., Ahmad, A. ve Tariq, S. (2024). Bridging the gap: a narrative review of osteoporosis disability, adipokines, and the role of AI in postmenopausal women. Pakistan Journal of Medical Sciences, 40(7), 1572-1577. http://dx.doi.org/10.12669/pjms.40.7.9072
dc.identifier.doi10.12669/pjms.40.7.9072
dc.identifier.endpage1577
dc.identifier.issn1682-024X
dc.identifier.issn1681-715X
dc.identifier.issue7
dc.identifier.pmid39092029
dc.identifier.scopus2-s2.0-85197242764
dc.identifier.scopusqualityQ3
dc.identifier.startpage1572
dc.identifier.urihttp://dx.doi.org/10.12669/pjms.40.7.9072
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12711
dc.identifier.volume40
dc.identifier.wos001272260200046en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorTariq, Sundus
dc.language.isoen
dc.relation.ecinfo:eu-repo/grantAgreement/EC/FP7/KSRG-2023-443
dc.relation.ispartofPakistan Journal of Medical Sciencesen_US
dc.relation.publicationcategoryMakale
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0*
dc.subjectAdipokines
dc.subjectArtificial Intelligence
dc.subjectBMD
dc.subjectOsteoporosis
dc.titleBridging the gap: a narrative review of osteoporosis disability, adipokines, and the role of AI in postmenopausal women
dc.typeOther

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