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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353991/
The 35 biomarker classifier gave sensitivity of 56%, specificity was 93% and the AUC on ROC analysis was 0.86. This study supports the potential for urinary proteomic biomarker models to assist with the diagnosis of acute stroke in those with mild symptoms.Cited by: 26
https://www.researchgate.net/publication/225054859_Urinary_Proteomics_to_Support_Diagnosis_of_Stroke
Accurate diagnosis in suspected ischaemic stroke can be difficult. We explored the urinary proteome in patients with stroke (n = 69), compared to controls (n = 33), and developed a biomarker model for the diagnosis of stroke.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0035879
Urinary Proteomics to Support Diagnosis of Stroke Accurate diagnosis in suspected ischaemic stroke can be difficult. We explored the urinary proteome in patients with stroke (n = 69), compared to controls (n = 33), and developed a biomarker model for the diagnosis of stroke.Cited by: 26
https://omictools.com/a4017fa716d3f1ed6c1cf32e3d0d9950-protocol
Urinary Proteomics to Support Diagnosis of Stroke Accurate diagnosis in suspected ischaemic stroke can be difficult. We explored the urinary proteome in patients with stroke (n = 69), compared to controls (n = 33), and developed a biomarker model for the diagnosis of stroke.
http://adsabs.harvard.edu/abs/2012PLoSO...735879D
Title: Urinary Proteomics to Support Diagnosis of Stroke: Authors: Dawson, Jesse; Walters, Matthew; Delles, Christian; Mischak, Harald; Mullen, William: Publication ...
https://www.academia.edu/26719190/Urinary_Proteomics_to_Support_Diagnosis_of_Stroke
Urinary Proteomics to Support Diagnosis of Stroke
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