2021
DOI: 10.1111/jsr.13435
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Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD‐3

Abstract: Summary The third edition of the International Classification of Sleep Disorders (ICSD‐3) is the authoritative clinical text for the diagnosis of sleep disorders. An important issue of sleep nosology is to better understand the relationship between symptoms found in conventional diagnostic manuals and to compare classifications. Nevertheless, to our knowledge, there is no specific exhaustive work on the general structure of the networks of symptoms of sleep disorders as described in diagnostic manuals. The gen… Show more

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Cited by 12 publications
(18 citation statements)
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“…Based on the presence or absence of excessive sleepiness, the first classification system for sleep disorders distinguished Disorders of Excessive Somnolence and Disorders of Initiating and Maintaining Sleep (13). Several decades after that system was published, excessive sleepiness still plays a central role in sleep-wake nosological classifications (14,15).…”
Section: Introductionmentioning
confidence: 99%
“…Based on the presence or absence of excessive sleepiness, the first classification system for sleep disorders distinguished Disorders of Excessive Somnolence and Disorders of Initiating and Maintaining Sleep (13). Several decades after that system was published, excessive sleepiness still plays a central role in sleep-wake nosological classifications (14,15).…”
Section: Introductionmentioning
confidence: 99%
“…They reflect the relevant diagnostic criteria [4] and capture different modalities, from demographics to clinical symptoms, or electrophysiological examinations. Future approaches could alternatively consider grouping these markers and systematically weighting different data types [29] or acknowledge the relationships and overlap of symptoms [30].…”
Section: Discussionmentioning
confidence: 99%
“…Future approaches could alternatively consider grouping these markers and systematically weighting different data types [29] or acknowledge the relationships and overlap of symptoms [30].…”
Section: Limitationsmentioning
confidence: 99%
“…La quantification des relations impliquées au sein de ce modèle clinique pourra voir le jour en s'appuyant sur des données massives (big data) dans un contexte de médecine stratifiée, c'està-dire une approche permettant l'identification de sous-groupes phénotypiques de l'hypersomnolence dans une perspective diagnostique, pronostique, et thérapeutique. Un modèle prometteur de médecine stratifiée repose sur les réseaux de symptômes, introduits en 2013 par Borsboom (146) et utilisés récemment en médecine du sommeil (10). Au sein de ce modèle, l'attention est portée sur les relations entre les symptômes considérés (par ex.…”
Section: Pour Une Médecine De Précision De L'hypersomnolenceunclassified