Transcranial magnetic stimulation enhances the specificity of multiple sclerosis diagnostic criteria: a critical narrative review.

Journal: PeerJ

Volume: 12

Issue: 

Year of Publication: 

Affiliated Institutions:  Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada. Faculty of Health Sciences, Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON, Canada.

Abstract summary 

Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease that involves attacks of inflammatory demyelination and axonal damage, with variable but continuous disability accumulation. Transcranial magnetic stimulation (TMS) is a noninvasive method to characterize conduction loss and axonal damage in the corticospinal tract. TMS as a technique provides indices of corticospinal tract function that may serve as putative MS biomarkers. To date, no reviews have directly addressed the diagnostic performance of TMS in MS. The authors aimed to conduct a critical narrative review on the diagnostic performance of TMS in MS.The authors searched the Embase, PubMed, Scopus, and Web of Science databases for studies that reported the sensitivity and/or specificity of any reported TMS technique compared to established clinical MS diagnostic criteria. Studies were summarized and critically appraised for their quality and validity.Seventeen of 1,073 records were included for data extraction and critical appraisal. Markers of demyelination and axonal damage-most notably, central motor conduction time (CMCT)-were specific, but not sensitive, for MS. Thirteen (76%), two (12%), and two (12%) studies exhibited high, unclear, and low risk of bias, respectively. No study demonstrated validity for TMS techniques as diagnostic biomarkers in MS.CMCT has the potential to: (1) enhance the specificity of clinical MS diagnostic criteria by "ruling in" true-positives, or (2) revise a diagnosis from relapsing to progressive forms of MS. However, there is presently insufficient high-quality evidence to recommend any TMS technique in the diagnostic algorithm for MS.

Authors & Co-authors:  Snow Murphy Chaves Moore Ploughman

Study Outcome 

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Statistics
Citations :  Adeniyi O, Aguel F, Agyeman A, Amur S, Bouri K, Canos D, Capanna K, Chakravarty AG, Cho DS, Fitzpatrick S, Irony I, Krainak D, Kunkoski EL, Lababidi S, Leptak C, Mattes W, Mishina E, Pacanowski MA, Papadopoulos EJ, Peiris V, Puri R, Ruiz J, Temple RJ, Turfle R, Wang SJ, Zhang B, Lively TG, McShane LM. BEST (Biomarkers, EndpointS, and other Tools) Resource. Silver Spring, MD, USA: US Food and Drug Administration (FDA); 2016. FDA-NIH biomarker working group.
Authors :  5
Identifiers
Doi : e17155
SSN : 2167-8359
Study Population
Male,Female
Mesh Terms
Other Terms
Biomarker;Central motor conduction time;Diagnosis;Literature review;Multiple sclerosis;Transcranial magnetic stimulation
Study Design
Study Approach
Country of Study
Publication Country
United States