Evidence map›Paper›PMID 40535613›Full record

ArticleResuscitation plus2025

How likely is the patient to be in cardiac arrest? Caller breathing descriptors in ambulance calls that were dispatched as cardiac arrest.

Nirukshi Perera, Marine Riou, Tanya Birnie, Judith Finn, Austin Whiteside, David Majewski, Stephen Ball

Registry-linked trialAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT07695766 nacompletednot on this mapstarted 2026, after this paper: background citation

Evaluation of CPR Training and Agonal Breathing Recognition Among New Taipei City Police Officers in Out-of-Hospital Cardiac Arrest Events

TypeinterventionalSponsorFar Eastern Memorial HospitalRan2026 to 2026Enrolled3,439ConditionsOut-of-hospital Cardiac Arrest (OHCA), Agonal Breathing, Cardiopulmonary Resuscitation TrainingArmsCPR Refresher and Agonal Breathing Recognition Training
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nirukshi PereraPrehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Curtin University, Bentley, Western Australia, Australia.
Marine RiouPrehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Curtin University, Bentley, Western Australia, Australia.
Tanya BirniePrehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Curtin University, Bentley, Western Australia, Australia.
Judith FinnPrehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Curtin University, Bentley, Western Australia, Australia.
Austin WhitesidePrehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Curtin University, Bentley, Western Australia, Australia.
David MajewskiPrehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Curtin University, Bentley, Western Australia, Australia.
Stephen BallPrehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Curtin University, Bentley, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Agonal breathingCall-takerCommunicationEmergency medical dispatchEmergency medical servicesOut-of-hospital cardiac arrestRecognition

Identifiers

PMID40535613
PMCPMC12173704

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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.