Potential biomarkers identified by TMT‐based quantitative proteomics for diagnosis and classification of Guillain‐Barré syndrome

2021 ◽  
Author(s):  
Yaowei Ding ◽  
Yijun Shi ◽  
Lijuan Wang ◽  
Guoge Li ◽  
Rasha Alsamani Osman ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Guillain Barre Syndrome ◽  
Guillain Barré Syndrome ◽  
Diagnosis And Classification ◽  
Guillain Barré ◽  
Potential Biomarkers

Guillain Barré syndrome and other immune mediated neuropathies: Diagnosis and classification

2014 ◽  
Vol 13 (4-5) ◽  
pp. 525-530 ◽  
Author(s):  
Adi Hersalis Eldar ◽  
Joab Chapman
Keyword(s):  
Guillain Barre Syndrome ◽  
Immune Mediated ◽  
Guillain Barré Syndrome ◽  
Diagnosis And Classification ◽  
Guillain Barré

scholarly journals Electrophysiological classification of guillain-barré syndrome: Clinical associations and outcome

1998 ◽  
Vol 44 (5) ◽  
pp. 780-788 ◽  
Author(s):  
R. D. M. Hadden ◽  
D. R. Cornblath ◽  
R. A. C. Hughes ◽  
J. Zielasek ◽  
H.-P. Hartung ◽  
...  
Keyword(s):  
Guillain Barre Syndrome ◽  
Guillain Barré Syndrome ◽  
Clinical Associations ◽  
Guillain Barré

scholarly journals Quantitative proteomics reveals Piccolo as a candidate serological correlate of recovery from Guillain-Barré syndrome

Oncotarget ◽  
2016 ◽  
Vol 7 (46) ◽  
pp. 74582-74591 ◽  
Author(s):  
Lourdes Mateos-Hernández ◽  
Margarita Villar ◽  
Ernesto Doncel-Pérez ◽  
Marco Trevisan-Herraz ◽  
Ángel García-Forcada ◽  
...  
Keyword(s):  
Quantitative Proteomics ◽  
Guillain Barre Syndrome ◽  
Guillain Barré Syndrome ◽  
Guillain Barré

scholarly journals The contribution of the Vaccine adverse event Text Mining system to the classification of possible Guillain-Barré Syndrome reports

2013 ◽  
Vol 04 (01) ◽  
pp. 88-99 ◽  
Author(s):  
E. J. Woo ◽  
R. Ball ◽  
T. Botsis
Keyword(s):  
Adverse Event ◽  
Text Mining ◽  
Guillain Barre Syndrome ◽  
Specific Information ◽  
Diagnostic Features ◽  
Mining System ◽  
Guillain Barré Syndrome ◽  
Guillain Barré ◽  
Text Mining System

Summary Background: We previously demonstrated that a general purpose text mining system, the Vaccine adverse event Text Mining (VaeTM) system, could be used to automatically classify reports of anaphylaxis for post-marketing safety surveillance of vaccines. Objective: To evaluate the ability of VaeTM to classify reports to the Vaccine Adverse Event Reporting System (VAERS) of possible Guillain-Barré Syndrome (GBS). Methods: We used VaeTM to extract the key diagnostic features from the text of reports in VAERS. Then, we applied the Brighton Collaboration (BC) case definition for GBS, and an information retrieval strategy (i.e. the vector space model) to quantify the specific information that is included in the key features extracted by VaeTM and compared it with the encoded information that is already stored in VAERS as Medical Dictionary for Regulatory Activities (MedDRA) Preferred Terms (PTs). We also evaluated the contribution of the primary (diagnosis and cause of death) and secondary (second level diagnosis and symptoms) diagnostic VaeTM-based features to the total VaeTM-based information. Results: MedDRA captured more information and better supported the classification of reports for GBS than VaeTM (AUC: 0.904 vs. 0.777); the lower performance of VaeTM is likely due to the lack of extraction by VaeTM of specific laboratory results that are included in the BC criteria for GBS. On the other hand, the VaeTM-based classification exhibited greater specificity than the MedDRA-based approach (94.96% vs. 87.65%). Most of the VaeTM-based information was contained in the secondary diagnostic features. Conclusion: For GBS, clinical signs and symptoms alone are not sufficient to match MedDRA coding for purposes of case classification, but are preferred if specificity is the priority. Citation: Botsis T, Woo EJ, Ball R. The contribution of the vaccine adverse event text mining system to the classification of possible Guillain-Barré syndrome reports. Appl Clin Inf 2013; 4: 88–99http://dx.doi.org/10.4338/ACI-2012-11-RA-0049

Clinical classification of 103 Japanese patients with Guillain-Barré syndrome

2016 ◽  
Vol 369 ◽  
pp. 43-47 ◽  
Author(s):  
Wakerley BR ◽  
N. Kokubun ◽  
K. Funakoshi ◽  
T. Nagashima ◽  
K. Hirata ◽  
...  
Keyword(s):  
Japanese Patients ◽  
Guillain Barre Syndrome ◽  
Clinical Classification ◽  
Guillain Barré Syndrome ◽  
Guillain Barré
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