Multimodal diagnostics in multiple sclerosis: predicting disability and conversion from relapsing-remitting to secondary progressive disease course - protocol for systematic review and meta-analysis.

Autor:	Statsenko Y; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE e.a.statsenko@gmail.com daryasm@uaeu.ac.ae taleb.almansoor@uaeu.ac.ae.; Medical Imaging Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, Abu Dhabi Emirate, UAE.; Big Data Analytics Center, United Arab Emirates University, Al Ain, Abu Dhabi Emirate, UAE., Smetanina D; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE e.a.statsenko@gmail.com daryasm@uaeu.ac.ae taleb.almansoor@uaeu.ac.ae.; Medical Imaging Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, Abu Dhabi Emirate, UAE., Arora T; Psychology Department, College of Natural and Health Sciences, Zayed University, Abu Dhabi, Abu Dhabi Emirate, UAE., Östlundh L; National Medical Library, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi Emirate, UAE.; Library, Örebro University, Örebro, Sweden., Habuza T; Big Data Analytics Center, United Arab Emirates University, Al Ain, Abu Dhabi Emirate, UAE.; Department of Computer Science, College of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi Emirate, UAE., Simiyu GL; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE.; Medical Imaging Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, Abu Dhabi Emirate, UAE., Meribout S; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE.; Medical Imaging Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, Abu Dhabi Emirate, UAE.; Internal Medicine Department, Maimonides Medical Center, New York, New York, USA., Talako T; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE.; Department of Oncohematology, Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology, Minsk, Belarus., King FC; Physiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE.; Neuroscience Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, Abu Dhabi Emirate, UAE., Makhnevych I; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE., Gelovani JG; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE.; Biomedical Engineering Department, Wayne State University, College of Engineering, Detroit, Michigan, USA.; Radiology Department, Siriraj Hospital, Faculty of Medicine, Mahidol University, Bangkok, Thailand.; Provost Office, United Arab Emirates University, Al Ain, Abu Dhabi Emirate, UAE., Das KM; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE., Gorkom KN; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE., Almansoori TM; Radiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE e.a.statsenko@gmail.com daryasm@uaeu.ac.ae taleb.almansoor@uaeu.ac.ae., Al Zahmi F; Neurology Department, Mediclinic Parkview Hospital, Dubai, Dubai Emirate, UAE.; Neurology Department, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, Dubai Emirate, UAE., Szólics M; Internal Medicine Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE.; Division of Neurology, Department of Medicine, Tawam Hospital, Al Ain, Abu Dhabi Emirate, UAE., Ismail F; Pediatrics Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi, UAE., Ljubisavljevic M; Physiology Department, United Arab Emirates University, College of Medicine and Health Sciences, Al Ain, Abu Dhabi Emirate, UAE.; Neuroscience Platform, ASPIRE Precision Medicine Research Institute Abu Dhabi, Al Ain, Abu Dhabi Emirate, UAE.
Jazyk:	angličtina
Zdroj:	BMJ open [BMJ Open] 2023 Jul 14; Vol. 13 (7), pp. e068608. Date of Electronic Publication: 2023 Jul 14.
DOI:	10.1136/bmjopen-2022-068608
Abstrakt:	Background: The number of patients diagnosed with multiple sclerosis (MS) has increased significantly over the last decade. The challenge is to identify the transition from relapsing-remitting to secondary progressive MS. Since available methods to examine patients with MS are limited, both the diagnostics and prognostication of disease progression would benefit from the multimodal approach. The latter combines the evidence obtained from disparate radiologic modalities, neurophysiological evaluation, cognitive assessment and molecular diagnostics. In this systematic review we will analyse the advantages of multimodal studies in predicting the risk of conversion to secondary progressive MS. Methods and Analysis: We will use peer-reviewed publications available in Web of Science, Medline/PubMed, Scopus, Embase and CINAHL databases. In vivo studies reporting the predictive value of diagnostic methods will be considered. Selected publications will be processed through Covidence software for automatic deduplication and blind screening. Two reviewers will use a predefined template to extract the data from eligible studies. We will analyse the performance metrics (1) for the classification models reflecting the risk of secondary progression: sensitivity, specificity, accuracy, area under the receiver operating characteristic curve, positive and negative predictive values; (2) for the regression models forecasting disability scores: the ratio of mean absolute error to the range of values. Then, we will create ranking charts representing performance of the algorithms for calculating disability level and MS progression. Finally, we will compare the predictive power of radiological and radiomical correlates of clinical disability and cognitive impairment in patients with MS. Ethics and Dissemination: The study does not require ethical approval because we will analyse publicly available literature. The project results will be published in a peer-review journal and presented at scientific conferences. Prospero Registration Number: CRD42022354179. Competing Interests: Competing interests: The authors declare that the research will be conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu