Evidence map›Paper›PMID 40688254›Full record

ArticleResuscitation plus2025

Proteomic analysis of serum samples after cardiac arrest: Rationale and design of a TTM-trial substudy.

Gabriele Lileikyte, Anahita Bakochi, Marc Isaksson, Filip Årman, Marion Moseby-Knappe, Johan Malmström, Niklas Nielsen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Resuscitation plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Gabriele LileikyteDepartment of Clinical Sciences Helsingborg, Anaesthesia and Intensive Care, Lund University, Skåne University Hospital, Malmö, Sweden.
Anahita BakochiSwedish National Infrastructure for Biological Mass Spectrometry (BioMS), Lund University, Lund, Sweden.
Marc IsakssonSwedish National Infrastructure for Biological Mass Spectrometry (BioMS), Lund University, Lund, Sweden.
Filip ÅrmanSwedish National Infrastructure for Biological Mass Spectrometry (BioMS), Lund University, Lund, Sweden.
Marion Moseby-KnappeDepartment of Clinical Sciences Lund, Neurology and Rehabilitation, Lund University, Skåne University Hospital, Lund, Sweden.
Johan MalmströmSwedish 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, Helsingborg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A pilot study investigating proteomic profiles from 78 patients from the Target Temperature Management after Out-of-hospital Cardiac arrest (TTM) trial revealed 35 proteins associated to functional outcome, and six proteins associated to targeted temperature management at 33 °C. We present the protocol for a study investigating proteomic profiles in the full cohort of the TTM-trial biobank. The aim is to stratify protein profiles based on survival, functional outcome, targeted temperature management, and MIRACLE2 score in order to search for potential novel biomarkers. Methods: All patients with available serum samples at 24, 48, and/or 72 h after return of spontaneous circulation ( Conclusion: This prospective study will provide information about proteomic profiles after cardiac arrest and may give insight for identification of novel biomarkers for prediction of outcome.

Indexed as

Heart arrestHypothermic temperature controlOut-of-hospital cardiac arrestPrognosticationProteomicsTargeted temperature management

Identifiers

PMID40688254
PMCPMC12272939

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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.