Prevalence and influencing factors of sleep disorders in patients with CRS: a protocol for systematic review and meta-analysis

• Published in: BMJ open Vol. 13; no. 12; p. e078430
• Main Authors: Wu, Yuqi, Fu, Yijie, He, Yuanqiong, Gong, Xinru, Fan, Hongli, Han, Zhoutong, Zhu, TianMin, Li, Hui
• Format: Journal Article
• Language: English
• Published: England British Medical Journal Publishing Group 30.12.2023; BMJ Publishing Group LTD; BMJ Publishing Group
• Series: Protocol
• Subjects: Adult otolaryngology; Chronic Disease; Chronic illnesses; Disease; Ear, Nose and Throat/Otolaryngology; EPIDEMIOLOGY; Meta-analysis; Paediatric otolaryngology; Patients; Pediatrics; Quality of life; Risk Factors; Sleep disorders; Software; Systematic review; Adult otolaryngology; Paediatric otolaryngology; Chronic Disease; Risk Factors; EPIDEMIOLOGY
• ISSN: 2044-6055; 2044-6055
• DOI: 10.1136/bmjopen-2023-078430

BackgroundChronic rhinosinusitis (CRS) is a common chronic disease that seriously affects patients’ quality of life and imposes a heavy physical and mental burden on patients. There is growing evidence that sleep disorders are strongly associated with patients with CRS. However, there is no systematic evidence to clarify the prevalence and influencing factors of sleep disorders in patients with CRS with nasal polyps (NP) (CRSwNP) and CRS without NP (CRSsNP). For this reason, this study will systematically analyse the prevalence of sleep disorders in patients with CRSwNP and CRSsNP and explore the related influencing factors.Methods and analysisWe will electronically search PubMed, Web of Science, Embase, Cochrane, Ovid, Scopus, the China National Knowledge Infrastructure, the Wanfang database, the China Biomedical Literature Database and the China Scientific Journals Database from the establishment of the database to September 2023 to collect the prevalence of sleep disorders in patients with CRSwNP or CRSsNP and related studies on factors affecting sleep disorders. Two researchers will independently conduct literature screening and data extraction and evaluate the quality of the included studies using the Newcastle-Ottawa Quality Scale and Agency for Healthcare Research and Quality scales. The extracted data will be meta-analysed using Review Manager 5.3 and Stata 14.0 software, and the quality of the evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation. Publication bias will be assessed using the funnel plots, Egger’s test and Begg’s test.Ethics and disseminationThis review will not require ethical approval, as we will only use research data from the published documents. Our final findings will be published in a peer-reviewed, open-access journal for dissemination.PROSPERO registration numberCRD42023446833.