ReviewMedicina (Kaunas, Lithuania)2024
Age as a Mortality Predictor in ECPR Patients.
Review in Medicina (Kaunas, Lithuania), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- The effect of initial rhythm on patient outcome in refractory cardiac arrest requiring extracorporeal cardiopulmonary resuscitation: A retrospective, multicentre registry cohort study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026Article
- Artificial Intelligence in Cardiopulmonary Resuscitation.Medicina (Kaunas, Lithuania) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracorporeal cardiopulmonary resuscitation (ECPR) is an advanced technique using extracorporeal membrane oxygenation (ECMO) to support patients with refractory cardiac arrest. Age significantly influences ECPR outcomes, with younger patients generally experiencing better survival and neurological outcomes due to many aspects. This review explores the impact of age on ECPR effectiveness, emphasizing the need to consider age alongside other clinical factors in patient selection. Survival rates differ notably between in-hospital (IHCA) and out-of-hospital cardiac arrest (OHCA), highlighting the importance of rapid intervention. The potential of artificial intelligence to develop predictive models for ECPR outcomes is discussed, aiming to improve decision-making. Ethical considerations around age-based treatment decisions are also addressed. This review advocates for a balanced approach to ECPR, integrating clinical and ethical perspectives to optimize patient outcomes across all age groups.
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.