Evidence map›Paper›PMID 41142209›Full record

ArticleResuscitation plus2025

Cadiology intensive care in patients with out-of-hospital cardiac arrest or cardiogenic shock.

Vera Garcheva, Tobias J Pfeffer, Johann Bauersachs, Andreas Schäfer

Abstract read
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. 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

4 authors.

Vera GarchevaCardiac Arrest Centre, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Tobias J PfefferCardiac Arrest Centre, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Johann BauersachsCardiac Arrest Centre, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Andreas SchäferCardiac Arrest Centre, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite advances in therapy, mortality remains high after out-of-hospital cardiac arrest (OHCA) and cardiogenic shock (CS). While recent trials have improved CS care, OHCA management appears to have stagnated following neutral or negative results. Objectives: To evaluate the Hannover Cardiac Resuscitation Algorithm (HaCRA) for standardized early diagnostic and therapeutic management of OHCA and CS patients prior to intensive care admission. Methods: All OHCA and CS patients admitted under HaCRA underwent structured evaluation for ventilatory and circulatory support, including non-invasive imaging, cardiac catheterization with revascularization, mechanical circulatory support, therapeutic hypothermia, and invasive haemodynamic monitoring. A cardiology intensive care team supervised care from admission to intensive care. Results: A total of 946 OHCA and 506 CS patients were treated. Mechanical circulatory support was required in 21 % of OHCA patients. Among CS patients receiving a micro-axial flow pump, 49 % had been resuscitated beforehand. OHCA mortality was 44 % overall, 33 % in shockable rhythms, and 61 % in non-shockable rhythms. Patients meeting inclusion criteria of the Conclusions: Implementation of HaCRA, coordinated by cardiology consultants trained in both interventional cardiology and intensive care, standardizes the management of OHCA and CS and may improve outcomes in these critically ill populations.

Indexed as

Cardiac arrestCardiogenic shockCardiopulmonary resuscitationIntensive careTherapeutic hypothermia

Identifiers

PMID41142209
PMCPMC12547704

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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.