Evidence map›Paper›PMID 39331333›Full record

ReviewIntensive care medicine experimental2024

Multiomic biomarkers after cardiac arrest.

Victoria Stopa, Gabriele Lileikyte, Anahita Bakochi, Prasoon Agarwal, Rasmus Beske, Pascal Stammet, Christian Hassager, Filip Årman, Niklas Nielsen, Yvan Devaux

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Intensive care medicine experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07090577 (Serial Multiomics Profiling Using Serum and Cerebrospinal Fluid Samples Following Out-of-hospital Cardiac Arrest), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT07090577 active not recruitingnot on this mapstarted 2025, after this paper: background citation

Serial Multiomics Profiling Using Serum and Cerebrospinal Fluid Samples Following Out-of-hospital Cardiac Arrest: a Prospective Observational Study

TypeobservationalSponsorChungnam National University HospitalRan2025 to 2026Enrolled15ConditionsCardiac Arrest (CA), Hypoxic-Ischemic Brain Injury, Post-Resuscitation Syndrome
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Blood N1-methyladenosine (mCritical care (London, England) · 2026
    Article
  2. Biomarkers in Cardiac Arrest: A Narrative Review.Therapeutic advances in pulmonary and critical care medicine
    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

10 authors.

Victoria StopaCardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B rue Edison, 1445, Strassen, Luxembourg.
Gabriele LileikyteDepartment of Clinical Sciences Lund, Anaesthesia and Intensive Care, Lund University, Helsingborg Hospital, Svart-brödragränden 3, 251 87, Helsingborg, Sweden.
Anahita BakochiSwedish National Infrastructure for Biological Mass Spectrometry (BioMS), Lund University, Lund, Sweden.
Prasoon AgarwalScience for Life Laboratory, Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, National Bioinformatics Infrastructure Sweden (NBIS), Lund University, 22362, Lund, Sweden.
Rasmus BeskeDepartment of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Pascal StammetDepartment of Anesthesia and Intensive Care Medicine, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Christian HassagerDepartment of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Filip ÅrmanSwedish National Infrastructure for Biological Mass Spectrometry (BioMS), Lund University, Lund, Sweden.
Niklas NielsenDepartment of Clinical Sciences Lund, Anaesthesia and Intensive Care, Lund University, Helsingborg Hospital, Svart-brödragränden 3, 251 87, Helsingborg, Sweden.
Yvan DevauxCardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B rue Edison, 1445, Strassen, Luxembourg. yvan.devaux@lih.lu.ORCID http://orcid.org/0000-0002-5321-8543

Funding

Fonds National de la Recherche Luxembourg C14/BM/8225223Fonds National de la Recherche Luxembourg C17/BM/11613033Fonds National de la Recherche Luxembourg COVID-19/2020-1/14719577/miRCOVIDHeart Foundation-Daniel Wagner YMCA projectHorizon 2020 Framework Programme 101016072
6 · The paper itself

Abstract

Cardiac arrest is a sudden cessation of heart function, leading to an abrupt loss of blood flow and oxygen to vital organs. This life-threatening emergency requires immediate medical intervention and can lead to severe neurological injury or death. Methods and biomarkers to predict neurological outcome are available but lack accuracy. Such methods would allow personalizing healthcare and help clinical decisions. Extensive research has been conducted to identify prognostic omic biomarkers of cardiac arrest. With the emergence of technologies allowing to combine different levels of omics data, and with the help of artificial intelligence and machine learning, there is a potential to use multiomic signatures as prognostic biomarkers after cardiac arrest. This review article delves into the current knowledge of cardiac arrest biomarkers across various omic fields and suggests directions for future research aiming to integrate multiple omics data layers to improve outcome prediction and cardiac arrest patient's care.

Indexed as

Artificial intelligenceBiomarkersCardiac arrestClinical outcomesMachine learningMultiomicsPrognosis

Identifiers

PMID39331333
PMCPMC11436561

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.