rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
7
|
pubmed:dateCreated |
2010-7-12
|
pubmed:abstractText |
Improving long-term survival after lung transplantation can be facilitated by identifying patient characteristics that are predictors of positive long-term outcomes. Validated survival modeling is important for guiding clinical decision-making, case-mix adjustment in comparative effectiveness research and refinement of the lung allocation system (LAS).
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pubmed:grant |
|
pubmed:commentsCorrections |
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Jul
|
pubmed:issn |
1557-3117
|
pubmed:author |
|
pubmed:issnType |
Electronic
|
pubmed:volume |
29
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
731-8
|
pubmed:dateRevised |
2011-5-5
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pubmed:meshHeading |
pubmed-meshheading:20382034-Adolescent,
pubmed-meshheading:20382034-Adult,
pubmed-meshheading:20382034-Aged,
pubmed-meshheading:20382034-Decision Support Techniques,
pubmed-meshheading:20382034-Female,
pubmed-meshheading:20382034-Humans,
pubmed-meshheading:20382034-Lung Transplantation,
pubmed-meshheading:20382034-Male,
pubmed-meshheading:20382034-Middle Aged,
pubmed-meshheading:20382034-Models, Statistical,
pubmed-meshheading:20382034-Patient Selection,
pubmed-meshheading:20382034-Predictive Value of Tests,
pubmed-meshheading:20382034-ROC Curve,
pubmed-meshheading:20382034-Regression Analysis,
pubmed-meshheading:20382034-Resource Allocation,
pubmed-meshheading:20382034-Survival Rate,
pubmed-meshheading:20382034-Time Factors,
pubmed-meshheading:20382034-Tissue and Organ Procurement,
pubmed-meshheading:20382034-Young Adult
|
pubmed:year |
2010
|
pubmed:articleTitle |
Development of a predictive model for long-term survival after lung transplantation and implications for the lung allocation score.
|
pubmed:affiliation |
Department of Medicine, University of Washington, Seattle, WA, USA. cderuit1@u.washington.edu
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural,
Validation Studies
|