ArticleCureus2025
High-Quality and Intensive Post-cardiac Arrest Care Leads to Positive Outcomes: An Interesting Case Report.
Article in Cureus, 2025. 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
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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.
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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients who experience out-of-hospital cardiac arrest have a low survival rate of around 10%. Ongoing research aims to prevent such events, ensure prompt responses, and improve outcomes when they occur. We present a case of a prolonged out-of-hospital cardiac arrest with a downtime of 45 minutes that resulted in a poor EEG report and predicted a poor outcome; however, the patient has demonstrated good functional and physical recovery, which enables him to have a better quality of life. This case highlights the importance of prompt intervention in the early stages following cardiac arrest, as well as the necessity of an early holistic rehabilitation plan to maximize recovery and enhance quality of life. This approach can lead to positive outcomes despite poor initial objective tests.
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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.