ReviewJournal of the American College of Emergency Physicians open2026
Management of Mechanical Ventilation in Emergency Medicine: A Scoping Review.
Review in Journal of the American College of Emergency Physicians open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Invasive mechanical ventilation is used for approximately 250,000 emergency medicine (EM) patients annually and continues to increase. Despite rising volumes, EM clinicians receive limited training in ventilation management. Much of the existing evidence is derived from other environments, which may not fully apply to the unique conditions of EM. This scoping review broadly categorizes literature on invasive ventilation specific to EM patients and clinicians and identifies knowledge gaps to direct future research. Methods: Following Preferred Reporting Items for Systematic Review and Meta-Analysis extension for Scoping Reviews Checklist guidelines, this review comprehensively mapped the literature on optimizing invasive mechanical ventilation in EM. Studies involving EM patients or clinicians were included. Searches in MEDLINE, EMBASE, and CINAHL identified relevant studies, which were screened and data were extracted by multiple reviewers. Identified studies were analyzed and categorized thematically. Results: From 4386 articles, 65 studies met inclusion criteria. Studies focused on EM patients (54 studies) and clinicians (11 studies). The following 6 themes emerged: tidal volume management (32 studies); ventilator adjustments (15); sedation and neuromuscular blockade (15); education, knowledge, and assessment (10); bundled care (8); and oxygen/carbon dioxide management (8). Some studies fit multiple themes. The variability of study methods and topics precluded synthesis of data; however, some key results were found in the most studied themes. Specifically, ventilation bundles that include low tidal volume ventilation may be associated with reduced mortality. Sedation practices were highly variable, and achieving lighter sedation in EM patients may be an ideal target for future study. Additionally, EM clinicians lack training and comfort in managing invasive mechanical ventilation. Significant gaps in EM-specific evidence and variable adherence to recommended practices were also identified, highlighting opportunities for improved education and care strategies. Conclusion: Limited research exists on invasive mechanical ventilation management in EM. Although strategies like tidal volume restriction show promise, evidence specific to the EM setting remains sparse. Further research is required to identify critical interventions to improve outcomes for emergency patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.