Ontology highlight
ABSTRACT: Background
The optimal timing for immune checkpoint inhibitor (ICI) therapy in patients with operable non-small cell lung cancer (NSCLC) remains a subject of clinical uncertainty. This Bayesian network meta-analysis (NMA) aimed to compare the efficacy of ICIs administered in neoadjuvant, adjuvant, and perioperative settings.Methods
A systematic review of randomized controlled trials (RCTs) published up to September 1, 2024, identified eight eligible studies comprising a total of 3,659 patients. Primary outcomes included disease-free survival (DFS) and event-free survival (EFS). A Bayesian framework was used to estimate hazard ratios (HRs) and 95% credible intervals (CrIs), with treatment efficacy ranked using the surface under the cumulative ranking curve (SUCRA). Risk of b
SUBMITTER: Petrelli F
PROVIDER: S-EPMC12432603 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature