Evidence map›Paper›PMID 39182146›Full record

ReviewJournal of anesthesia, analgesia and critical care2024

Airway management and ventilation techniques in resuscitation during advanced life support: an update.

Clemens Kill, Randi Katrin Manegold, David Fistera, Joachim Risse

Abstract readReview
In one paragraph

Review in Journal of anesthesia, analgesia and critical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Clemens KillCenter of Emergency Medicine, University Hospital Essen, Essen, D-45147, Germany.
Randi Katrin ManegoldCenter of Emergency Medicine, University Hospital Essen, Essen, D-45147, Germany.
David FisteraCenter of Emergency Medicine, University Hospital Essen, Essen, D-45147, Germany.
Joachim RisseCenter of Emergency Medicine, University Hospital Essen, Essen, D-45147, Germany. joachim.risse@uk-essen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many years, ventilation has been an essential part of advanced life support (ALS) in cardiopulmonary resuscitation (CPR). Nevertheless, there is little evidence about the best method of ventilation during resuscitation for both out-of-hospital cardiac arrest (OHCA) and inhospital cardiac arrest (IHCA) patients. Effective ventilation is one of the two main keys to successful resuscitation. In this context, the question always arises as to which airway management, along with which ventilation mode, constitutes the best strategy. Conventional ventilation modes are not designed for cardiac arrest and show important limitations that must be considered when used in CPR. Manual ventilation without the use of an automated transport ventilator (ATV) could be shown to be uncontrolled in applied volumes and pressures and should be avoided. Mechanical ventilation with an ATV is therefore superior to manual ventilation, but both volume- and pressure-controlled ventilation modes are significantly influenced by chest compressions. With the newly designed chest compression synchronized ventilation (CCSV), a special ventilation mode for resuscitation is available. Further research should be conducted to obtain more evidence of the effect of ventilation during CPR on outcomes following OHCA and not only about how to secure the airway for ventilation during CPR.

Indexed as

Advanced life support (ALS)Airway managementBest ventilation strategy for CPRCardiopulmonary resuscitation (CPR)Chest compression synchronized ventilation (CCSV)Ventilation modes

Identifiers

PMID39182146
PMCPMC11344389

What OpenQuestion holds

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Registered trials

None linked

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.