Chronic kidney disease and incident cancer risk: an individual participant data meta-analysis.

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Title: Chronic kidney disease and incident cancer risk: an individual participant data meta-analysis.
Authors: Mok Y; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Welch Center for Prevention, Epidemiologyand Clinical Research, Baltimore, MD, USA., Surapaneni A; Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Sang Y; Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA., Coresh J; Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA., Grams ME; Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Matsushita K; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Welch Center for Prevention, Epidemiologyand Clinical Research, Baltimore, MD, USA., Ballew SH; Optimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA. Shoshana.Ballew@nyulangone.org., Alencar de Pinho N; Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France., Ärnlöv J; Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.; School of Health and Social Studies, Dalarna University, Falun, Sweden., Barreto SM; Department of Preventive Medicine, School of Medicine and Hospital das Clínicas/Empresa Brasileira de Serviços Hospitalares and Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Bell S; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK., Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, and Network Aging Research, Heidelberg University, Heidelberg, Germany., Carrero JJ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden.; Division of Nephrology, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden., Chinnadurai R; Department of Renal Medicine, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK., Ciemins E; AMGA (American Medical Group Association), Alexandria, VA, USA., Gansevoort RT; Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands., Jassal SK; University of California San Diego, La Jolla, CA, USA.; San Diego VA Health Care System, San Diego, CA, USA., Jung KJ; Institute for Health Promotion, Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea., Kirchner HL; Department of Population Health Sciences, Research Institute, Geisinger, Danville, PA, USA., Konta T; Department of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan., Kovesdy CP; Medicine-Nephrology, Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis, TN, USA., Luo L; Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands., Pandit K; Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA., Rahman M; Division of Nephrology and Hypertension, University Hospitals Cleveland Medical Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Case Western Reserve University, Cleveland, OH, USA., Robinson-Cohen C; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA., Sabanayagam C; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.; Ophthalmology and Visual Sciences Academic Clinical Programme (EYE-ACP), Duke-NUS Medical School, Singapore, Singapore., Schultheiss UT; Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.; Department of Medicine IV, Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.; Synlab, MVZ Humangenetik Freiburg GmbH, Freiburg, Germany., Shlipak M; Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.; General Internal Medicine Division, Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA., Staplin N; Renal Studies Group, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK., Tonelli M; Department of Medicine, University of Calgary, Calgary, AB, Canada., Wang AY; Department of Renal Medicine, Singapore General Hospital, Duke-National University of Singapore, Singapore, Singapore., Wen CP; Institute of Population Health Science, National Health Research Institutes/China Medical University Hospital, Zhunan, Taiwan., Woodward M; The George Institute for Global Health, University of New South Wales, Sydney, Australia.; The George Institute for Global Health, Imperial College London, London, UK., Lees JS; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.
Corporate Authors: CKD Prognosis Consortium
Source: British journal of cancer [Br J Cancer] 2025 Nov; Vol. 133 (10), pp. 1535-1543. Date of Electronic Publication: 2025 Sep 06.
Publication Type: Journal Article; Meta-Analysis
Journal Info: Publisher: Nature Publishing Group on behalf of Cancer Research UK Country of Publication: England NLM ID: 0370635 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-1827 (Electronic) Linking ISSN: 00070920 NLM ISO Abbreviation: Br J Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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