Evidence map›Paper›PMID 41583933›Full record

ArticleResuscitation plus2026

The Pre-ECPR score for predicting favorable neurological outcomes after extracorporeal cardiopulmonary resuscitation: protocol for external validation in the Prague OHCA trial cohort.

Bengt Redfors, Radim Špaček, Anna Henningsson, Lukas Lannemyr, Petra Kmoníčková, Josef Holub, Henrik Imberg, Jan Belohlavek

Abstract read
In one paragraph

Article in Resuscitation plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bengt RedforsDepartment of Cardiothoracic Anesthesia and Intensive Care, Sahlgrenska University Hospital, Gothenburg, Region Västra Götaland, Sweden.
Radim ŠpačekDepartment of Cardiology, Hospital AGEL-Trinec Podlesi a.s., Trinec, Czech Republic.
Anna HenningssonDepartment of Cardiothoracic Anesthesia and Intensive Care, Sahlgrenska University Hospital, Gothenburg, Region Västra Götaland, Sweden.
Lukas LannemyrDepartment of Cardiothoracic Anesthesia and Intensive Care, Sahlgrenska University Hospital, Gothenburg, Region Västra Götaland, Sweden.
Petra Kmoníčková2nd Department of Internal Medicine, Cardiovascular Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czech Republic.
Josef Holub2nd Department of Internal Medicine, Cardiovascular Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czech Republic.
Henrik ImbergStatistiska Konsultgruppen Sweden, Gothenburg, Sweden.
Jan Belohlavek2nd Department of Internal Medicine, Cardiovascular Medicine, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: No clear consensus exists for extracorporeal cardiopulmonary resuscitation (ECPR) patient selection in refractory cardiac arrest. Evidence suggests that current binary criteria yield either low favorable outcome rates, when being liberal, or exclude potential survivors, when being restrictive. The Pre-ECPR score, which uses logistic regression to give a single predicted probability of favorable outcome (modified Rankin Scale 0-3), demonstrated significantly better discriminatory ability than the Extracorporeal Life Support Organization "Example of selection criteria for ECPR". This protocol outlines the methodology for external validation of the Pre-ECPR score using the ECPR-treated patients from the randomized Prague Out-of-Hospital Cardiac Arrest (OHCA) trial. Methods: The validation cohort comprises the 92 ECPR-treated patients of the Prague OHCA trial. The Pre-ECPR score incorporates eight predictors: age, no-flow time/initial rhythm combination, total cardiac arrest duration, signs of life, pupil dilation, end-tidal CO Conclusion: This external validation will indicate whether the Pre-ECPR score retains its predictive performance in an independent OHCA population. The results will provide essential evidence for its potential to improve ECPR patient selection beyond conventional binary selection criteria.

Indexed as

Cardiopulmonary resuscitationExtracorporeal membrane oxygenationHeart arrestPatient selectionPredictive value of testsReproducibility of resultsTreatment outcomeValidation studies as topic

Identifiers

PMID41583933
PMCPMC12825072

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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.