Computed Tomography versus Sleep Endoscopy (DISE) to Predict the Effectiveness of Mandibular Advancement Devices in Adult Patients with Obstructive Sleep Apnea: A Protocol for Systematic Review.
Pedro Miguel Teixeira Carvas CebolaCristina CaroçaHelena DonatoAna CamposSara Simões DiasJoão PaçoAna Cristina MansoPublished in: Journal of clinical medicine (2023)
Obstructive sleep apnea is a sleep disorder with a high prevalence in the world population. The mandibular advancement device is one of the options for treating obstructive sleep apnea. Neck computed tomography and drug-induced sleep endoscopy are complementary diagnostic tests that may help predict the effectiveness of mandibular advancement devices. This study aims to analyze the best method for predicting the effectiveness of mandibular advancement devices in the therapeutic approach to obstructive sleep apnea. PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science Core Collection databases will be comprehensively searched. We will include randomized clinical trials, non-randomized prospective or retrospective clinical studies, case controls, cohort studies, and case series. Two authors will independently conduct data extraction and assess the literature quality of the studies. The analysis of the included literature will be conducted by Revman 5.3 software. The outcomes that will be analyzed are craniofacial characteristics, cephalometric assessments, site and type of obstruction of the upper airway, mean values of the apnea-hypopnea index, and SaO 2 verified in the initial and follow-up polysomnography. This study will provide reliable, evidence-based support for the clinical application of mandibular advancement devices for obstructive sleep apnea.
Keyphrases
- obstructive sleep apnea
- positive airway pressure
- computed tomography
- systematic review
- drug induced
- sleep apnea
- randomized controlled trial
- physical activity
- liver injury
- cone beam computed tomography
- sleep quality
- positron emission tomography
- magnetic resonance imaging
- public health
- clinical trial
- double blind
- open label
- metabolic syndrome
- electronic health record
- deep learning
- study protocol
- insulin resistance
- adverse drug
- adipose tissue
- dual energy
- data analysis
- phase ii
- placebo controlled