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The accurate clinical diagnosis of obstructive sleep apnoea (OSA) has been elusive, leading to reliance on objective testing via polysomnography. However, various clinical prediction algorithms and questionnaires have been developed to estimate the pretest probability of OSA which have proven clinically useful and have served to effectively inform decisions over whether or not to proceed with objective sleep testing. These include the Berlin Questionnaire, Sleep Apnoea Clinical Score and the STOP-Bang questionnaires.1–3
The authors performed a systematic review of the literature from 1966 to 2013 to examine the …
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