ReviewMedical principles and practice : international journal of the Kuwait University, Health Science Centre2021
Pulseless Electrical Activity: Detection of Underlying Causes in a Prehospital Setting.
Review in Medical principles and practice : international journal of the Kuwait University, Health Science Centre, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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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.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Serial Ultrasound-Guided Carotid Artery Compression During Chest Compressions for Assessing Circulatory Status: A Prospective Pilot Diagnostic Study.Diagnostics (Basel, Switzerland) · 2026Article
- ECG characteristics as indicators of the aetiology of pulseless electrical activity: a systematic review.British paramedic journal · 2025Article
- Outcome, compliance with inclusion criteria and cost of extracorporeal cardiopulmonary resuscitation (ECPR) in out-of-hospital cardiac arrest: A retrospective cohort study.Resuscitation plus · 2024Article
- Out-of-hospital cardiac arrest in school sports in Japan: Possible next steps.Resuscitation plus · 2024Article
- Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest.Resuscitation plus · 2024Article
- Prone restraint cardiac arrest in in-custody and arrest-related deaths.Journal of forensic sciences · 2022Article
- Timing and Identification of the Cause and Treatment of a Cardiac Arrest: A Potential Survival Benefit.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022Article
- Rat model of asphyxia-induced cardiac arrest and resuscitation.Frontiers in neuroscience · 2022Review
- A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest.Entropy (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The proportion of out-of-hospital cardiac arrests (OHCAs) with pulseless electrical activity (PEA) as initial rhythm is increasing. PEA should be managed by identifying the underlying cause of the arrest and treating it accordingly. This often poses a challenge in the chaotic prehospital environment with only limited resources available. The aim of this study was to review the diagnostic tools available in a prehospital setting, and their interpretation during cardiac arrest (CA) with PEA as initial rhythm. A systematic literature search of the PubMed database was performed. Articles were assessed for eligibility by title, abstract, and full text. Ultrasonography has become a great asset in detecting underlying causes, and a variety of protocols have been proposed. There are currently no studies comparing these protocols regarding their feasibility and their effect on patient survival. Further research concerning the relationship between electrocardiogram characteristics and underlying causes is required. Limited evidence suggests a role for point-of-care testing in detecting hyperkalemia and a role for capnography in the diagnosis of asphyxia CA. Multiple studies describe a prognostic potential. Although evidence about the prognostic potential of cerebral oximetry in OHCA is accumulating, its diagnostic potential is still unknown. In the management of OHCA, anamnestic and clinical information remains the initial source of information in search for an underlying cause. Ultrasonographic evaluation should be performed subsequently, both for detecting an underlying cause and discriminating between true PEA and pseudo PEA. Comparative studies are required to identify the best ultrasonographic protocol, which can be included in resuscitation guidelines.
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