ArticleCureus2024
Role of Point-of-Care Ultrasound (POCUS) in Cardiac Arrest: A Case Report.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute pulmonary embolism (PE) is a significant cause of cardiac arrests, with subsequent high mortality worldwide. Early recognition of acute PE allows earlier diagnosis, stabilization, and risk stratification, which are crucial in deciding the most adequate treatment option. However, diagnosis is sometimes difficult due to nonspecific clinical presentation. We report a case of successful cardiopulmonary resuscitation with the identification of this reversible cause of cardiac arrest using point-of-care ultrasound in cardiopulmonary arrest (POCUS-CA), thus allowing appropriate prompt life-saving treatment.
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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.