19142021

Source:http://linkedlifedata.com/resource/pubmed/id/19142021

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0011945, umls-concept:C0232804, umls-concept:C0332152, umls-concept:C0439234, umls-concept:C0449774, umls-concept:C2698872
pubmed:issue	2
pubmed:dateCreated	2009-2-27
pubmed:abstractText	Establishing a comprehensive characterization of kidney function decline before dialysis is necessary to predict dialysis onset and prepare patients for replacement therapy.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101159763
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	1660-2110
pubmed:author	pubmed-author:AmbrogiVaninaV, pubmed-author:BoiniStéphanieS, pubmed-author:BriançonSergeS, pubmed-author:FrimatLucL, pubmed-author:KesslerMichèleM, pubmed-author:ThillyNathalieN, pubmed-author:VirionJean-MarcJM
pubmed:copyrightInfo	Copyright 2009 S. Karger AG, Basel.
pubmed:issnType	Electronic
pubmed:volume	111
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	c95-c101
pubmed:meshHeading	pubmed-meshheading:19142021-Aged, pubmed-meshheading:19142021-Aged, 80 and over, pubmed-meshheading:19142021-Female, pubmed-meshheading:19142021-Glomerular Filtration Rate, pubmed-meshheading:19142021-Humans, pubmed-meshheading:19142021-Kidney Failure, Chronic, pubmed-meshheading:19142021-Kidney Function Tests, pubmed-meshheading:19142021-Male, pubmed-meshheading:19142021-Middle Aged, pubmed-meshheading:19142021-Nonlinear Dynamics, pubmed-meshheading:19142021-Predictive Value of Tests, pubmed-meshheading:19142021-Registries, pubmed-meshheading:19142021-Renal Dialysis, pubmed-meshheading:19142021-Time Factors
pubmed:year	2009
pubmed:articleTitle	Patterns and predictors of kidney function decline in the last year prior to dialysis.
pubmed:affiliation	Department of Clinical Epidemiology and Evaluation, CEC-CIE6 Inserm, University Hospital of Nancy, EA 4003, Nancy University, Nancy, France.
pubmed:publicationType	Journal Article, Comparative Study, Research Support, Non-U.S. Gov't, Multicenter Study