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10.1186/s12916-015-0403-7 http://scihub22266oqcxt.onion/10.1186/s12916-015-0403-7 C4581470!4581470 !26400574     free     free     free       BMC+Med 2015 ; 13 (?): 165 Nephropedia Template TP {{tp|p=26400574 |t=2015. Models of disease behavior in idiopathic pulmonary fibrosis |pdf=|usr=}}{{26400574 }} gab.com Text Models of disease behavior in idiopathic pulmonary fibrosis JO: BMC Med http://www.kidney.de/pget.php?&tw=1&pmid=26400574 #FOAvip Idiopathic pulmonary fibrosis is a diffuse parenchymal lung disease of unknown cause. The natural history of disease can vary considerably, making it difficult to predict the clinical trajectory for an individual patient. Accurate prognostication is desirable for clinical management as well as for cohort enrichment in clinical trials of therapeutics. Clinical and biomarker models of disease behavior have been developed to improve prognostication in idiopathic pulmonary fibrosis, with moderate predictive capabilities. Integrated prediction models that combine both clinical and biomarker variables will improve prognostication for patients and improved cohort enrichment strategies for clinical trials. This goal may be best achieved through collaborative patient registries with prospectively collected biological samples that allow for characterization of disease behavior in idiopathic pulmonary fibrosis. Twit Text FOAVip Models of disease behavior in idiopathic pulmonary fibrosis ????BMC Med http://www.kidney.de/pget.php?&tw=1&pmid=26400574 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26400574 #FOAvip English Wikipedia <ref>{{Cite pmid|26400574 }}</ref> Models of disease behavior in idiopathic pulmonary fibrosis #MMPMID26400574 Johannson KA ; Ley B ; Collard HR BMC Med 2015[Sep]; 13 (?): 165 PMID26400574 show ga Idiopathic pulmonary fibrosis is a diffuse parenchymal lung disease of unknown cause. The natural history of disease can vary considerably, making it difficult to predict the clinical trajectory for an individual patient. Accurate prognostication is desirable for clinical management as well as for cohort enrichment in clinical trials of therapeutics. Clinical and biomarker models of disease behavior have been developed to improve prognostication in idiopathic pulmonary fibrosis, with moderate predictive capabilities. Integrated prediction models that combine both clinical and biomarker variables will improve prognostication for patients and improved cohort enrichment strategies for clinical trials. This goal may be best achieved through collaborative patient registries with prospectively collected biological samples that allow for characterization of disease behavior in idiopathic pulmonary fibrosis. |Biomarkers/*metabolism [MESH] |Humans [MESH] |Idiopathic Pulmonary Fibrosis/*genetics [MESH]Models of disease behavior in idiopathic pulmonary fibrosis (epmc).pdf DeepDyve Pubget Overpricing