Evidence map›Paper›PMID 38961495›Full record

SynthesisCritical care (London, England)2024

Extracorporeal cardiopulmonary resuscitation versus standard treatment for refractory out-of-hospital cardiac arrest: a Bayesian meta-analysis.

Samuel Heuts, Johannes F H Ubben, Michal J Kawczynski, Andrea Gabrio, Martje M Suverein, Thijs S R Delnoij, Petra Kavalkova, Daniel Rob, Arnošt Komárek, Iwan C C van der Horst and 5 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Endovascular resuscitation: an expert practice review.Emergency medicine journal : EMJ · 2026
    Review
  2. Coronary angiography in cardiac arrest patients undergoing extracorporeal cardiopulmonary resuscitation.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2026
    Article
  3. Article
  4. Article
  5. [Post-Resuscitation care in the intensive care unit].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. ECPR-the evolving role in cardiac arrest.Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Samuel Heuts *Department of Cardiothoracic Surgery, Maastricht University Medical Center, MUMC+), P. Debyelaan 25, 6229HX, Maastricht, The Netherlands. sam.heuts@mumc.nl.
Johannes F H Ubben *Department of Anesthesiology and Pain Medicine, Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands.
Michal J KawczynskiDepartment of Cardiothoracic Surgery, Maastricht University Medical Center, MUMC+), P. Debyelaan 25, 6229HX, Maastricht, The Netherlands.
Andrea GabrioDepartment of Methodology and Statistics, University Maastricht, Maastricht, The Netherlands.
Martje M SuvereinDepartment of Intensive Care Medicine, Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands.
Thijs S R DelnoijDepartment of Intensive Care Medicine, Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands.
Petra Kavalkova2nd Department of Medicine-Department of Cardiovascular Medicine, First Medical School, General University Hospital and Charles University in Prague, Prague, Czech Republic.
Daniel Rob2nd Department of Medicine-Department of Cardiovascular Medicine, First Medical School, General University Hospital and Charles University in Prague, Prague, Czech Republic.
Arnošt KomárekDepartment of Probability and Mathematical Statistics, Faculty of Mathematics and Statistics, Charles University in Prague, Prague, Czech Republic.
Iwan C C van der HorstCardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, The Netherlands.
Jos G MaessenDepartment of Cardiothoracic Surgery, Maastricht University Medical Center, MUMC+), P. Debyelaan 25, 6229HX, Maastricht, The Netherlands.
Demetris Yannopoulos *Center for Resuscitation Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Jan Bělohlávek *2nd Department of Medicine-Department of Cardiovascular Medicine, First Medical School, General University Hospital and Charles University in Prague, Prague, Czech Republic.
Roberto Lorusso *Department of Cardiothoracic Surgery, Maastricht University Medical Center, MUMC+), P. Debyelaan 25, 6229HX, Maastricht, The Netherlands.
Marcel C G van de Poll *Department of Intensive Care Medicine, Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outcomes of several randomized trials on extracorporeal cardiopulmonary resuscitation (ECPR) in patients with refractory out-of-hospital cardiac arrest were examined using frequentist methods, resulting in a dichotomous interpretation of results based on p-values rather than in the probability of clinically relevant treatment effects. To determine such a probability of a clinically relevant ECPR-based treatment effect on neurological outcomes, the authors of these trials performed a Bayesian meta-analysis of the totality of randomized ECPR evidence.

methodsA systematic search was applied to three electronic databases. Randomized trials that compared ECPR-based treatment with conventional CPR for refractory out-of-hospital cardiac arrest were included. The study was preregistered in INPLASY (INPLASY2023120060). The primary Bayesian hierarchical meta-analysis estimated the difference in 6-month neurologically favorable survival in patients with all rhythms, and a secondary analysis assessed this difference in patients with shockable rhythms (Bayesian hierarchical random-effects model). Primary Bayesian analyses were performed under vague priors. Outcomes were formulated as estimated median relative risks, mean absolute risk differences, and numbers needed to treat with corresponding 95% credible intervals (CrIs). The posterior probabilities of various clinically relevant absolute risk difference thresholds were estimated.

resultsThree randomized trials were included in the analysis (ECPR, n = 209 patients; conventional CPR, n = 211 patients). The estimated median relative risk of ECPR for 6-month neurologically favorable survival was 1.47 (95%CrI 0.73-3.32) with a mean absolute risk difference of 8.7% (- 5.0; 42.7%) in patients with all rhythms, and the median relative risk was 1.54 (95%CrI 0.79-3.71) with a mean absolute risk difference of 10.8% (95%CrI - 4.2; 73.9%) in patients with shockable rhythms. The posterior probabilities of an absolute risk difference > 0% and > 5% were 91.0% and 71.1% in patients with all rhythms and 92.4% and 75.8% in patients with shockable rhythms, respectively.

conclusionThe current Bayesian meta-analysis found a 71.1% and 75.8% posterior probability of a clinically relevant ECPR-based treatment effect on 6-month neurologically favorable survival in patients with all rhythms and shockable rhythms. These results must be interpreted within the context of the reported credible intervals and varying designs of the randomized trials. REGISTRATION: INPLASY (INPLASY2023120060, December 14th, 2023, https://doi.org/10.37766/inplasy2023.12.0060 ).

Indexed as

Bayes TheoremCardiopulmonary ResuscitationOut-of-Hospital Cardiac ArrestExtracorporeal Membrane OxygenationHumansRandomized Controlled Trials as TopicTreatment OutcomeBayesian statistical inferenceConventional cardiopulmonary resuscitationExtracorporeal cardiopulmonary resuscitationNeurologically favorable survivalOut-of-hospital cardiac arrestRandomized controlled trials

Identifiers

PMID38961495
PMCPMC11223393

What OpenQuestion holds

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Registered trials

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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.