ArticleResuscitation plus2025
How likely is the patient to be in cardiac arrest? Caller breathing descriptors in ambulance calls that were dispatched as cardiac arrest.
Article in Resuscitation plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07695766 (Evaluation of CPR Training and Agonal Breathing Recognition Among New Taipei City Police Officers in Out-of-Hospital Cardiac Arrest Events), which is not on this map. Cited by 1 paper.
What it found
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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.
Evaluation of CPR Training and Agonal Breathing Recognition Among New Taipei City Police Officers in Out-of-Hospital Cardiac Arrest Events
Who cites it
1 citing paper in PubMed.
- Logistic regression and simulation modelling to evaluate survival effects of EMS response time in suspected cardiac arrest.BMC 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In emergency ambulance calls, callers use a variety of ways to describe patients' breathing, or the absence thereof. Call-takers have the task of interpreting these descriptions, and for unconscious patients, determining if they fit with the dispatch system's requirements for a cardiac arrest. We aimed to categorise the breathing descriptions callers use and determine the likelihood of patients being in cardiac arrest for different breathing description categories. Method: Using call audio and ambulance dispatch data from St John Western Australia (Jan-Jun 2021) for cases dispatched as out-of-hospital cardiac arrest (OHCA) during initial "case entry" questioning, we created a schema of breathing descriptors and coded calls for their occurrence. For each descriptor we determined the percentage of cases confirmed by Emergency Medical Services (EMS) as being in arrest (true positive cases) on arrival at the scene. Results: Of 375 cases dispatched as OHCA, 85.3% (320) were true positives. Callers used a wide range of descriptors, across 23 categories. Descriptors with a high percentage of true positive cases were Conclusion: Patients who are dispatched as OHCA by call-takers have a diverse range of caller descriptors for their breathing status. While descriptor categories varied in the percentage of EMS-confirmed OHCAs, none had a low percentage. We recommend exposing call-takers to the broad range of breathing descriptors which can be applied to their role in identifying OHCA and addressing caller perceptions of patient signs of life.
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