Supraglottic airway devices as conduits for bronchoscopic-guided tracheal intubation: A bayesian network meta-analysis of randomized controlled trials

Background Supraglottic airway (SGA) devices are increasingly used as conduits for bronchoscopic-guided tracheal intubation. Although randomized trials have compared individual devices, a comprehensive comparative synthesis across available devices is lacking. This review aims to evaluate the relative effectiveness of SGA conduits for guided tracheal intubation using a Bayesian network meta-analysis framework. Objective To compare SGA devices used as conduits for fibreoptic or bronchoscopic-guided tracheal intubation in randomized controlled trials. Eligibility Criteria Population: Adult or pediatric patients undergoing tracheal intubation via SGA conduit. Intervention/Comparator: Any SGA device used as conduit for bronchoscopic-guided intubation. Exclusions: Blind intubation techniques without endoscopic guidance. Study design: Randomized controlled trials. Outcomes Primary outcome: Overall intubation success. Secondary outcomes: First-pass success Between-study heterogeneity Treatment ranking (SUCRA) Network inconsistency Prediction intervals Ranking uncertainty (entropy) Data Synthesis A Bayesian random-effects network meta-analysis will be conducted using log-odds ratios with 95% credible intervals. Heterogeneity (τ), local inconsistency (node-splitting), global inconsistency (design-by-treatment interaction), and ranking probabilities will be assessed. Subgroup / Sensitivity Analyses Exclusion of high-risk airway cohorts Alternative node specifications Leave-one-out influence analysis Clustered analysis by structural device category