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Title of Journal: JAMA Neurol

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Abbravation: JAMA Neurology

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American Medical Association

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DOI

10.1002/aic.690380202

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ISSN

2168-6149

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Biomarker-Based Predictive Models for Prognosis in Amyotrophic Lateral Sclerosis

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
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Abstract

Multivariable modeling and goodness-of-fit 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% CI.Multivariable modeling and goodness-of-fit validation results using combined plasma and CSF biomarkers as well as plasma-CSF ratios. Dash-dotted 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% CI.Importance  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.


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References

citation_title=Individual survival time prediction using statistical models.; citation_author=Henderson R; citation_author=Keiding N; citation_journal_title=J Med Ethics; citation_year=2005; citation_volume=31; citation_issue=12; citation_pages=703-706;


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