Article ; Online: Quantification of REM sleep without atonia: A review of study methods and meta-analysis of their performance for the diagnosis of RBD.
2023 Volume 68, Page(s) 101745
Abstract: The present review focuses on REM sleep without atonia (RSWA) scoring methods. In consideration of the numerous papers published in the last decade, that used different methods for the quantification of RSWA, their systematic revision is an emerging need. ...
| Abstract | The present review focuses on REM sleep without atonia (RSWA) scoring methods. In consideration of the numerous papers published in the last decade, that used different methods for the quantification of RSWA, their systematic revision is an emerging need. We made a search using the PubMed, Embase, Scopus and Web of Science Databases, from 2010 until December 2021, combining the search term "RSWA" with "scoring methods", "IRBD", "alfasyn disease", and "neurodegenerative disease", and with each of the specific sleep disorders, diagnosed according to current criteria, with the identification of the references of interest for the topic. Furthermore, a Meta-analysis of the diagnostic performance of RSWA scoring methods, in terms of sensitivity and specificity, was carried out. The comparison of the hierarchical summary receiver-operating characteristic curves obtained for visual methods and that obtained for the automated REM sleep atonia index (RAI), shows substantially similar prediction areas indicating a comparable performance. This systematic review and meta-analysis support the validity of a series of visual methods and of the automated RAI in the quantification of RSWA with the purpose to guide clinicians in the interpretation of their results and their correct and efficient use within the diagnostic work-up for REM sleep behavior disorder. |
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| MeSH term(s) | Humans ; Muscle Hypotonia/diagnosis ; Neurodegenerative Diseases ; Polysomnography/methods ; REM Sleep Behavior Disorder/diagnosis ; Sleep, REM |
| Language | English |
| Publishing date | 2023-01-04 |
| Publishing country | England |
| Document type | Journal Article ; Meta-Analysis ; Review |
| ZDB-ID | 1414211-9 |
| ISSN | 1532-2955 ; 1087-0792 |
| ISSN (online) | 1532-2955 |
| ISSN | 1087-0792 |
| DOI | 10.1016/j.smrv.2023.101745 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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