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Advances in the diagnosis and detection of chronic kidney disease.

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Title: Advances in the diagnosis and detection of chronic kidney disease.
Authors: Lees JS; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK., Zhang L; Renal Division, Department of Medicine, Peking University First Hospital, Beijing Key Laboratory of Research, Development and Translational Application of Multimodal Intelligent Diagnosis and Treatment System, Beijing, China; National Institute of Health Data Science, State Key Laboratory of Vascular Homeostasis and Remodelling, Peking University, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang Province, China. Electronic address: zhanglx@bjmu.edu.cn., Anandh U; Department of Nephrology, Amrita Institute of Medical Sciences and Research Centre, Faridabad, Delhi, India., Kronbichler A; Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria., Fisher LA; Caribbean Institute For Health Research, University of the West Indies, Kingston, Jamaica; Faculty of Medical Sciences, Department of Medicine, University of the West Indies, Kingston, Jamaica., Borg M; School of Public Health, Adelaide University, Adelaide, SA, Australia., Wang AY; Department of Renal Medicine, Singapore General Hospital, Singapore; Duke-National University of Singapore, Singapore., Levin A; Division of Nephrology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Source: Lancet (London, England) [Lancet] 2026 Jun 13; Vol. 407 (10546), pp. 2414-2428. Date of Electronic Publication: 2026 Jun 03.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 2985213R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1474-547X (Electronic) Linking ISSN: 01406736 NLM ISO Abbreviation: Lancet Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Advances in the diagnosis and detection of chronic kidney disease.
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  Data: <searchLink fieldCode="AU" term="%22Lees+JS%22">Lees JS</searchLink>; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK; Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Renal Division, Department of Medicine, Peking University First Hospital, Beijing Key Laboratory of Research, Development and Translational Application of Multimodal Intelligent Diagnosis and Treatment System, Beijing, China; National Institute of Health Data Science, State Key Laboratory of Vascular Homeostasis and Remodelling, Peking University, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang Province, China. Electronic address: zhanglx@bjmu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Anandh+U%22">Anandh U</searchLink>; Department of Nephrology, Amrita Institute of Medical Sciences and Research Centre, Faridabad, Delhi, India.<br /><searchLink fieldCode="AU" term="%22Kronbichler+A%22">Kronbichler A</searchLink>; Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria.<br /><searchLink fieldCode="AU" term="%22Fisher+LA%22">Fisher LA</searchLink>; Caribbean Institute For Health Research, University of the West Indies, Kingston, Jamaica; Faculty of Medical Sciences, Department of Medicine, University of the West Indies, Kingston, Jamaica.<br /><searchLink fieldCode="AU" term="%22Borg+M%22">Borg M</searchLink>; School of Public Health, Adelaide University, Adelaide, SA, Australia.<br /><searchLink fieldCode="AU" term="%22Wang+AY%22">Wang AY</searchLink>; Department of Renal Medicine, Singapore General Hospital, Singapore; Duke-National University of Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Levin+A%22">Levin A</searchLink>; Division of Nephrology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
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  Data: <searchLink fieldCode="JN" term="%222985213R%22">Lancet (London, England)</searchLink> [Lancet] 2026 Jun 13; Vol. 407 (10546), pp. 2414-2428. <i>Date of Electronic Publication: </i>2026 Jun 03.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>2985213R <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-547X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201406736%22">01406736 </searchLink><i>NLM ISO Abbreviation: </i>Lancet <i>Subsets: </i>MEDLINE
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        Value: 10.1016/S0140-6736(26)00702-6
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      – TitleFull: Advances in the diagnosis and detection of chronic kidney disease.
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            – D: 13
              M: 06
              Text: 2026 Jun 13
              Type: published
              Y: 2026
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