Evidence map›Paper›PMID 37519411›Full record

ArticleResuscitation plus2023

Randomised trial of the clinical and cost effectiveness of a supraglottic airway device compared with tracheal intubation for in-hospital cardiac arrest (AIRWAYS-3): Protocol, design and implementation.

Scott Watkins, Fatimah J Chowdhury, Chloe Norman, Stephen J Brett, Keith Couper, Laura Goodwin, Doug W Gould, David Ae Harrison, Anower Hossain, Ranjit Lall and 11 more

Open access · goldAbstract read
In one paragraph

Article in Resuscitation plus, 2023. 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
4.2field-weighted citation impact, top 6% of its field
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, 12 citations in OpenAlex.

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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

21 authors at 7 institutions in 1 country.

Scott WatkinsFaculty of Health & Applied Sciences, University of the West of England, Bristol, UK.
Fatimah J ChowdhuryWarwick Clinical Trials Unit, University of Warwick, UK.
Chloe NormanWarwick Clinical Trials Unit, University of Warwick, UK.
Stephen J BrettImperial College Healthcare NHS Trust, London, UK.
Keith CouperWarwick Clinical Trials Unit, University of Warwick, UK.
Laura GoodwinFaculty of Health & Applied Sciences, University of the West of England, Bristol, UK.
Doug W GouldIntensive Care National Audit & Research Centre, London, UK.
David Ae HarrisonIntensive Care National Audit & Research Centre, London, UK.
Anower HossainWarwick Clinical Trials Unit, University of Warwick, UK.
Ranjit LallWarwick Clinical Trials Unit, University of Warwick, UK.
James MasonWarwick Clinical Trials Unit, University of Warwick, UK.
Jerry P NolanWarwick Clinical Trials Unit, University of Warwick, UK.
Henry NwankwoWarwick Clinical Trials Unit, University of Warwick, UK.
Gavin D PerkinsWarwick Clinical Trials Unit, University of Warwick, UK.
Katie SamuelNorth Bristol NHS Trust, Bristol, UK.
Behnaz SchofieldFaculty of Health & Applied Sciences, University of the West of England, Bristol, UK.
Jasmeet SoarNorth Bristol NHS Trust, Bristol, UK.
Kath StarrWarwick Clinical Trials Unit, University of Warwick, UK.
Matthew ThomasUniversity Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Sarah VossFaculty of Health & Applied Sciences, University of the West of England, Bristol, UK.
Jonathan R BengerFaculty of Health & Applied Sciences, University of the West of England, Bristol, UK.
University of Warwick · GBUniversity of the West of England · GBIntensive Care National Audit & Research Centre · GBNorth Bristol NHS Trust · GBImperial College Healthcare NHS Trust · GBRoyal United Hospital · GBUniversity Hospitals Bristol NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Survival from in-hospital cardiac arrest is approximately 18%, but for patients who require advanced airway management survival is lower. Those who do survive are often left with significant disability. Traditionally, resuscitation of cardiac arrest patients has included tracheal intubation, however insertion of a supraglottic airway has gained popularity as an alternative approach to advanced airway management. Evidence from out-of-hospital cardiac arrest suggests no significant differences in mortality or morbidity between these two approaches, but there is no randomised evidence for airway management during in-hospital cardiac arrest. The aim of the AIRWAYS-3 randomised trial, described in this protocol paper, is to determine the clinical and cost effectiveness of a supraglottic airway versus tracheal intubation during in-hospital cardiac arrest. Patients will be allocated randomly to receive either a supraglottic airway or tracheal intubation as the initial advanced airway management. We will also estimate the relative cost-effectiveness of these two approaches. The primary outcome is functional status, measured using the modified Rankin Scale at hospital discharge or 30 days post-randomisation, whichever occurs first. AIRWAYS-3 presents ethical challenges regarding patient consent and data collection. These include the enrolment of unconscious patients without prior consent in a way that avoids methodological bias. Other complexities include the requirement to randomise patients efficiently during a time-critical cardiac arrest. Many of these challenges are encountered in other emergency care research; we discuss our approaches to addressing them.

Indexed as

Airway managementCardiopulmonary resuscitationEndotracheal intubationIn-hospital cardiac arrestLaryngeal mask airwayRandomized clinical trial

Identifiers

PMID37519411
PMCPMC10371816
OpenAlexW4385406005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.