9049454

Source:http://linkedlifedata.com/resource/pubmed/id/9049454

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0010340, umls-concept:C0022660, umls-concept:C0026336, umls-concept:C0026339, umls-concept:C0030705, umls-concept:C1274040, umls-concept:C2349101
pubmed:issue	2
pubmed:dateCreated	1997-6-13
pubmed:abstractText	Several mathematical models are used to predict the survival of patients in renal failure and have become standards. Few of these models have been sufficiently validated, however, and their applicability at other institutions has been established.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0364441
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Feb
pubmed:issn	0301-0430
pubmed:author	pubmed-author:GoormasticMM, pubmed-author:HalstenbergW KWK, pubmed-author:PaganiniE PEP
pubmed:issnType	Print
pubmed:volume	47
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	81-6
pubmed:dateRevised	2010-11-18
pubmed:meshHeading	pubmed-meshheading:9049454-APACHE, pubmed-meshheading:9049454-Acute Kidney Injury, pubmed-meshheading:9049454-Critical Illness, pubmed-meshheading:9049454-Female, pubmed-meshheading:9049454-Humans, pubmed-meshheading:9049454-Intensive Care Units, pubmed-meshheading:9049454-Logistic Models, pubmed-meshheading:9049454-Male, pubmed-meshheading:9049454-Middle Aged, pubmed-meshheading:9049454-Models, Statistical, pubmed-meshheading:9049454-Prognosis, pubmed-meshheading:9049454-Registries, pubmed-meshheading:9049454-Renal Dialysis, pubmed-meshheading:9049454-Reproducibility of Results, pubmed-meshheading:9049454-Risk Factors, pubmed-meshheading:9049454-Treatment Outcome
pubmed:year	1997
pubmed:articleTitle	Validity of four models for predicting outcome in critically ill acute renal failure patients.
pubmed:affiliation	Department Nephrology and Hypertension, Cleveland Clinic Foundation, OH 44195, USA.
pubmed:publicationType	Journal Article, Comparative Study