20948723

Source:http://linkedlifedata.com/resource/pubmed/id/20948723

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0011644, umls-concept:C0024115, umls-concept:C1292734, umls-concept:C1522326, umls-concept:C1801960
pubmed:dateCreated	2010-10-15
pubmed:abstractText	Recent randomized trials suggest that evidence-based algorithms for systemic sclerosis can be developed to identify patients at risk for lung disease, follow lung disease progression, and modify disease with therapies of proven benefit. Recognition of disease subsets allows physicians to integrate physiology, overlapping disease manifestations, and predictable drug effects into a comprehensive disease management program.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101506841
pubmed:status	PubMed-not-MEDLINE
pubmed:issn	1757-5931
pubmed:author	pubmed-author:KravitzJared NJN, pubmed-author:StrangeCharlieC
pubmed:issnType	Electronic
pubmed:volume	1
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:year	2009
pubmed:articleTitle	How should we treat vascular and fibrotic lung disease in scleroderma?
pubmed:affiliation	Division of Pulmonary and Critical Care Medicine, Medical University of South Carolina 96 Jonathan Lucas St, Suite 812 CSB, Charleston, SC 29425 USA.
pubmed:publicationType	Journal Article