ArticleJournal of the American College of Emergency Physicians open2024
The i-gel
Article in Journal of the American College of Emergency Physicians open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Airway management by ambulance nurses during out-of-hospital cardiac arrest.Resuscitation plus · 2025Article
- The i-gelJournal of the American College of Emergency Physicians open · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Unlike randomized controlled trials, practical real-world studies can offer important information about implementation of prehospital interventions, particularly in community settings where there may be reluctance to adopt new practices. We present the results of a natural experiment that was driven by mandated COVID-19 pandemic-driven shift from endotracheal intubation (ETI) to the i-gel Methods: This pre/post study compared airway placement metrics in prehospital patients requiring advance airway management for non-trauma-related conditions. Data from EMS records were extracted over 2 years, 12 months pre-pandemic, and 12 months post-pandemic. During the pre-COVID-19 year, the EMS protocols utilized ETI as the primary advanced airway device (ETI group). Post-pandemic paramedics were mandated to utilize i-gel Results: There were 199 adult patients, 83 (42%) in the ETI group and 116 (58%) in the SGA group. First-pass success was significantly higher with SGA 96% (92%-99%) than ETI 68% (57%-78%) with paramedics citing the inability to visualize the airway in 52% of ETI cases. Time to first-pass success was significantly shorter in the SGA group (5.9 min [5.1-6.7 min]) than in the ETI group (8.3 min [6.9-9.6 min]), as was time to overall successful placement at 6.0 min (5.1-6.8 min) versus 9.6 min (8.2-11.1 min), respectively. Multiple placement attempts were required in 26% of ETI cases and 1% of the SGA cases. There were no statistically significant differences in the number and types of complications between the cohorts. Return of spontaneous circulation (on/before emergency department [ED] arrival), mortality at 28 days, intensive care unit length of stay, or ventilator-free days between the groups were not statistically different between the groups. Conclusion: In this natural experiment, the SGA performed significantly better than ETI in first-pass airway device placement success and was significantly faster in achieving first-pass success, and overall airway placement, thus potentially reducing exposure to respiratory pathogens. Practical real-world studies can offer important information about implementation of prehospital interventions, particularly in community settings and in systems with a low frequency of tracheal intubations.
Indexed as
Identifiers
What OpenQuestion holds
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.