ArticleInternational journal of emergency medicine2025
Quantitative effects of mechanical cardiopulmonary resuscitation devices in rural American emergency medical services: a retrospective cohort study.
Article in International journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- 2025 Korean Guidelines for Cardiopulmonary Resuscitation: Part 10. Education and system implementation for enhanced chain of survival.Clinical and experimental emergency medicine · 2026Guideline
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEmergency medical service agencies increasingly utilize medical devices which perform external chest compressions during cardiac arrest. Due to the unique staffing and budget considerations of the rural emergency medical services environment, an investigation of mechanical cardiopulmonary resuscitation in this setting is warranted. Studying the effects of new technologies in the rural environment promotes improvement of the standard of rural prehospital care. This study evaluated the effect of mechanical cardiopulmonary resuscitation use on rural out-of-hospital cardiac arrest performance measures.
methodsFive hundred eighty-five rural cardiac arrests were assessed from National Emergency Medical Services Information System 2017-2019 data. Using both linear and logistic multivariate regression analysis, the effect of mechanical cardiopulmonary resuscitation on the incidence of a return of spontaneous circulation, the first defibrillation interval, and the first cardiac epinephrine administration interval was assessed.
resultsIn rural cardiac arrest with initial presentation of a shockable rhythm, the use of mechanical cardiopulmonary resuscitation devices delayed initial defibrillation by 21.5% (p < 0.05). A 15.1% (p < 0.05) delay in first administration of epinephrine was also found when mechanical cardiopulmonary resuscitation was used. Incidence of return of spontaneous circulation was unchanged between manual and mechanical cardiopulmonary resuscitation conditions.
conclusionsCurrent rural mechanical cardiopulmonary resuscitation device use can have a negative effect on prompt delivery of vital interventions. Our findings suggest that improvements to equipment training may help remedy improper utilization of mechanical cardiopulmonary resuscitation devices. Delaying application of mechanical cardiopulmonary resuscitation devices until time-sensitive interventions are complete may result in a better standard of care. Proper use of mechanical cardiopulmonary resuscitation devices may help to overcome inherent difficulties faced by rural prehospital clinicians.
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.