Big databases and biobanks for studying the links between CKD, cognitive impairment, and dementia

dc.contributor.authorZoccali, Carmine
dc.contributor.authorMallamaci, Frances
dc.contributor.authorRosenberg, Kerry
dc.contributor.authorUnwin, Robert
dc.contributor.authorSilva, Pedro Imenez
dc.contributor.authorSimeoni, Maria Adelina
dc.contributor.authorHafez, Gaye
dc.contributor.authorCapasso, Giovambattista
dc.contributor.authorNitsch, Dorothea
dc.contributor.authorCONNECT Action (Cognitive Decline in Nephro-Neurology European Cooperative Target) collaborators
dc.date.accessioned2025-05-27T05:45:54Z
dc.date.available2025-05-27T05:45:54Z
dc.date.issued2025
dc.departmentFakülteler, Eczacılık Meslek Bilimleri Bölümü, Farmakoloji Ana Bilim Dalı
dc.description.abstractResearch on cognitive function in individuals with chronic kidney disease (CKD) is critical due to the significant public health challenge posed by both CKD and cognitive impairment. CKD affects approximately 10-15% of the adult population, with higher prevalence in the elderly, who are already at increased risk for cognitive decline. Cognitive impairment is notably higher in CKD patients, particularly those with severe stages of the disease, and progresses more rapidly in those on dialysis. This review explores how data from large biobank studies such as the Alzheimer's Disease Neuroimaging Initiative, UK Biobank, and others could be used to enhance understanding the progression and interplay between CKD and cognitive decline. Each of these data sources has specific strengths and limitations. Strengths include large sample sizes and longitudinal data across different groups, and in different settings. Addressing limitations leads to challenges in dealing with heterogeneous data collection methods, and addressing missing data, which requires the use of sophisticated statistical techniques. Combining data from multiple databases can mitigate individual study limitations, particularly via the 'epidemiological triangulation' concept. Using such data appropriately holds immense potential to better understand the pathobiology underlying CKD and cognitive impairment. Addressing the inherent challenges with a clear strategy is crucial for advancing our understanding and improving the lives of those affected by both CKD and cognitive impairment.
dc.description.sponsorshipFunding agency: European Cooperation in Science and Technology (COST Grant number: CA19127
dc.identifier.citationZoccali, C., Mallamaci, F., Rosenberg, K., Unwin, R., Silva, P. I., Simeoni, M. A., ... & Nitsch, D. (2025). Big databases and biobanks for studying the links between CKD, cognitive impairment, and dementia. Nephrology Dialysis Transplantation, 40(Supplement_2), ii37-ii45.
dc.identifier.doi10.1093/ndt/gfae255
dc.identifier.endpageii45
dc.identifier.issn0931-0509
dc.identifier.issn1460-2385
dc.identifier.issueSupplement_2
dc.identifier.pmid40080089
dc.identifier.scopus2-s2.0-105000376915
dc.identifier.scopusqualityQ1
dc.identifier.startpageii37
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5758
dc.identifier.volume40
dc.identifier.wosWOS:001443929700004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.institutionauthorHafez, Gaye
dc.language.isoen
dc.relation.ispartofNephrology, Dialysis, Transplantation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectbiobank
dc.subjectchronic kidney disease
dc.subjectcognitive impairment
dc.subjectdementia
dc.subjectepidemiology
dc.titleBig databases and biobanks for studying the links between CKD, cognitive impairment, and dementia
dc.typeOther

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