ReviewScandinavian journal of trauma, resuscitation and emergency medicine2025
Managing apnoea in trauma victims: the potential for dispatcher-assisted airway handling - a narrative review.
Review in Scandinavian journal of trauma, resuscitation and emergency medicine, 2025. 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.
- Predicting Critical Outcomes in Suspected Cardiopulmonary Emergencies Using Dispatch Narratives: Temporal Validation Study.Journal of medical Internet research · 2026Article
- The diamond minutes: rethinking the earliest link of the trauma chain of survival.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Trauma remains one of the leading causes of death worldwide, particularly among young adults. Despite improvements in structured trauma systems and hospital-based interventions, a substantial proportion of preventable deaths still occur in the prehospital phase, often within minutes and well before emergency medical services (EMS) intervention. Among the most critical and potentially reversible contributors to early mortality is apnoea, which can rapidly lead to hypoxic injury and death. This narrative review aims to explore the pathophysiology, epidemiology, and recognition of early post-traumatic apnoea, with a focus on dispatcher-assisted interventions during the initial minutes following trauma. Autopsy studies and trauma registries suggest that 18-43% of pre-EMS trauma fatalities involve potentially reversible apnoea. Notably, impact brain apnoea-a neurogenic cessation of breathing following blunt head trauma-and airway obstruction can frequently occur, and their identification by untrained callers is unreliable. Nevertheless, structured dispatcher questioning combined with live video technology may substantially enhance detection rates. Dispatcher-guided basic airway management, such as the jaw thrust or chin lift, has been shown in simulation settings to restore breathing in up to 60% of cases. The lateral trauma position, when executed with cervical spine considerations, offers a practical means to maintain airway patency with no greater spinal motion than that caused by a traditional log roll. Conversely, evidence supporting mouth-to-mask ventilation by laypersons remains limited, and concerns over infection continue to affect its effective uptake. Overall, early apnoea after trauma remains a great risk for survival, while bystanders represent an underestimated resource. Equipping dispatchers with standardized, evidence-based protocols-supported by new tools like live video-may offer a cost-effective approach to improving survival during the most vulnerable critical minutes after the injury.
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.