Effects of avoidance versus use of neuromuscular blocking agents for facilitation of tracheal intubation in children and infants.
Michelle Icka ChristensenMatias VestedAndreas CreutzburgAnders Kehlet NørskovLars Hyldborg LundstrømArash AfshariPublished in: Acta anaesthesiologica Scandinavica (2024)
This protocol follows the preferred reporting items for systematic reviews and meta-analyses protocols recommendations. We will include all randomized controlled clinical trials assessing the effects of avoidance versus the use of NMBA for facilitation of tracheal intubation (oral or nasal) using direct laryngoscopy or video laryngoscopy in pediatric participants (<18 years). Our primary outcome is incidence of difficult tracheal intubation. Secondary outcomes include incidence of serious adverse events, failed intubation, events of upper airway discomfort or injury, and difficult laryngoscopy. We will conduct a thorough database search to identify relevant trials, including CENTRAL, MEDLINE, EMBASE, BIOSIS, Web of Science, CINAHL, and trial registries. Two review authors will independently handle the screening of literature and data extraction. Each trial will be evaluated for major sources of bias with the "classic risk of bias tool" used in the Cochrane Collaboration tool from 2011. We will use Review manager (RevMan) or R with the meta package to perform the meta-analysis. We will perform a trial sequential analysis on the meta-analysis of our primary outcome, providing an estimate of statistical reliability. Two review authors will independently assess the quality of the body of evidence using the grading of recommendations assessment, development, and evaluation (GRADE) approach. We will use GRADEpro software to conduct the GRADE assessments and to create "Summary of the findings" tables.
Keyphrases
- systematic review
- meta analyses
- phase iii
- clinical trial
- phase ii
- cardiac arrest
- study protocol
- open label
- randomized controlled trial
- double blind
- risk factors
- public health
- placebo controlled
- clinical practice
- young adults
- drinking water
- adverse drug
- metabolic syndrome
- quality improvement
- emergency department
- electronic health record
- adipose tissue
- machine learning
- artificial intelligence