BiomarkerBased Predictive Models for Prognosis in

Authors: Xiaowei William Su Zachary Simmons Ryan Michael Mitchell Lan Kong Helen Elizabeth Stephens James Robert Connor

Publish Date: 2013/12/01

Volume: 70, Issue: 12, Pages: 1505-1511

PDF Link

Abstract

Multivariable modeling and goodnessoffit validation results using plasma A and CSF B biomarkers Dashed lines delimit predictions that are 50 above or 33 below actual total disease duration Dots represent predictions that fall within this range match upward arrowheads predictions that are above this range high and downward arrowheads predictions that are below this range low Shaded bands represent prediction limit 95 CIMultivariable modeling and goodnessoffit validation results using combined plasma and CSF biomarkers as well as plasmaCSF ratios Dashdotted lines delimit predictions that are 50 above or 33 below actual total disease duration Dots represent predictions that fall within this range match upward arrowheads predictions that are above this range high and downward arrowheads predictions that are below this range low Shaded band represents prediction limit 95 CIImportance  Although median survival in amyotrophic lateral sclerosis ALS is 2 to 4 years survival ranges from months to decades creating prognostic uncertainty Strategies to predict prognosis would benefit clinical management and outcomes assessments of clinical trials

Keywords: