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Cited by in F6Publishing
For: Eijsvogel MM, Wiegersma S, Randerath W, Verbraecken J, Wegter-Hilbers E, van der Palen J. Obstructive Sleep Apnea Syndrome in Company Workers: Development of a Two-Step Screening Strategy with a New Questionnaire. J Clin Sleep Med 2016;12:555-64. [PMID: 26518703 DOI: 10.5664/jcsm.5690] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
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3 Geessinck FAJ, Pleijhuis RG, Mentink RJ, van der Palen J, Koffijberg H. Cost-Effectiveness Analysis of the DiagnOSAS Screening Tool Compared With Polysomnography Diagnosis in Dutch Primary Care. J Clin Sleep Med 2018;14:1005-15. [PMID: 29852908 DOI: 10.5664/jcsm.7170] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
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5 Fabius TM, Benistant JR, Bekkedam L, van der Palen J, de Jongh FHC, Eijsvogel MMM. Validation of the oxygen desaturation index in the diagnostic workup of obstructive sleep apnea. Sleep Breath 2019;23:57-63. [DOI: 10.1007/s11325-018-1654-2] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 3.8] [Reference Citation Analysis]
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8 Silva FSL, Bezerra JPDS, Mota BC, de Oliveira ACS, Sobreira-Neto MA, de Castro SS, Leite CF. Are the International Classification of Functioning, Disability and Health (ICF) domains considered in the obstructive sleep apnea instruments? An integrative review. Sleep Breath 2021;25:1089-100. [PMID: 32865728 DOI: 10.1007/s11325-020-02173-3] [Reference Citation Analysis]
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10 Maas BDPJ, Bruintjes TD, van der Zaag-loonen HJ, van Leeuwen RB. The relation between dizziness and suspected obstructive sleep apnoea. Eur Arch Otorhinolaryngol 2020;277:1537-43. [DOI: 10.1007/s00405-020-05857-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Topîrceanu A, Udrescu M, Udrescu L, Ardelean C, Dan R, Reisz D, Mihaicuta S. SAS score: Targeting high-specificity for efficient population-wide monitoring of obstructive sleep apnea. PLoS One 2018;13:e0202042. [PMID: 30183715 DOI: 10.1371/journal.pone.0202042] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
12 Chen H, Li Y, Reiber JH, de Lange J, Tu S, van der Stelt P, Lobbezoo F, Aarab G. Analyses of aerodynamic characteristics of the oropharynx applying CBCT: obstructive sleep apnea patients versus control subjects. Dentomaxillofac Radiol 2018;47:20170238. [PMID: 29076751 DOI: 10.1259/dmfr.20170238] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
13 Tsuiki S, Nagaoka T, Fukuda T, Sakamoto Y, Almeida FR, Nakayama H, Inoue Y, Enno H. Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study. Sleep Breath 2021. [PMID: 33559004 DOI: 10.1007/s11325-021-02301-7] [Reference Citation Analysis]