PP118 A Survival Analysis Of The Lag Times In The Publication Of Network Meta-Analyses

Introduction The use of inconsistent and outdated information may significantly compromise healthcare decision-making. We aimed to assess the extent lag times in publication indexing network meta-analyses (NMAs). Methods Searches for NMAs on drug interventions were performed PubMed (May 2020). Lag measured as time between last systematic search date article's submission, acceptance, online publication, indexing, Medical Subject Heading (MeSH) allocation. Correlations trends calculated by means Spearman's rank correlation coefficient. Time-to-event analyses considering independent variables such geographical origin, journal impact factor, Scopus CiteScore, open access status. Results included 1,245 NMAs. median from article submission was 6.8 months 11.6 months, respectively. Only five percent authors updated their literature searches after submission. There a very slight decreasing historical trend acceptance (r =−0.087; p = 0.01), =−0.08; 0.008), =−0.080; 0.007). Journal factor influenced MeSH allocation process (log-rank 0.02). Slight differences observed when comparing subscription journals. Conclusions Authors need update before reduce evidence production time. Peer reviewers editors should ensure that comply with NMA standards encourage development living meta-analyses.