Author First name, Last name, Institution

Yauhen Statsenko, College of Medicine and Health Sciences United Arab Emirates University
Darya Smetanina, College of Medicine and Health Sciences United Arab Emirates University
Teresa Arora, Zayed UniversityFollow
Linda Östlundh, College of Medicine and Health Sciences United Arab Emirates University
Tetiana Habuza, United Arab Emirates University
Gillian Lylian Simiyu, College of Medicine and Health Sciences United Arab Emirates University
Sarah Meribout, College of Medicine and Health Sciences United Arab Emirates University
Tatsiana Talako, College of Medicine and Health Sciences United Arab Emirates University
Fransina Christina King, College of Medicine and Health Sciences United Arab Emirates University
Iryna Makhnevych, College of Medicine and Health Sciences United Arab Emirates University
Juri George Gelovani, College of Medicine and Health Sciences United Arab Emirates University
Karuna M. Das, College of Medicine and Health Sciences United Arab Emirates University
Klaus Neidl Van Gorkom, College of Medicine and Health Sciences United Arab Emirates University
Taleb M. Almansoori, College of Medicine and Health Sciences United Arab Emirates University
Fatmah Al Zahmi, Mediclinic Parkview Hospital
Miklós Szólics, College of Medicine and Health Sciences United Arab Emirates University
Fatima Ismail, College of Medicine and Health Sciences United Arab Emirates University
Milos Ljubisavljevic, College of Medicine and Health Sciences United Arab Emirates University

Document Type

Article

Source of Publication

BMJ Open

Publication Date

7-14-2023

Abstract

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.

ISSN

2044-6055

Publisher

BMJ

Volume

13

Issue

7

Disciplines

Medicine and Health Sciences

Keywords

Delirium & cognitive disorders, Magnetic resonance imaging, Multiple sclerosis, Neurophysiology

Scopus ID

85164757444

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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