Evidence map›Paper›PMID 39415757›Full record

Trial reportAnaesthesia and intensive care2025

The effect of deep versus awake removal of the laryngeal mask airway on the incidence of emergence delirium in paediatric tonsillectomy: A randomised controlled trial.

Dhruv Kapoor, Eliza A Tweddle, Luke Baitch

Abstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in Anaesthesia and intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Dhruv KapoorAlbury-Wodonga Rural Clinical School, UNSW Medicine, Albury, Australia.ORCID 0000-0001-9015-1037
Eliza A TweddleAlbury-Wodonga Rural Clinical School, UNSW Medicine, Albury, Australia.
Luke BaitchAlbury-Wodonga Rural Clinical School, UNSW Medicine, Albury, Australia.ORCID 0000-0002-1093-1912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergence delirium, characterised by inconsolable crying, perceptual disturbances and thrashing, occurs in young children during the recovery phase from general anaesthesia. Our aim was to determine whether timing of laryngeal mask airway removal (deeply anaesthetised versus awake) influenced the incidence of emergence delirium in children after tonsillectomy. A single-centre, randomised controlled trial was conducted at Albury Wodonga Health, a regional hospital in Australia. Included patients were two to seven years old, American Society of Anesthesiologists physical status classification 1-2, undergoing elective tonsillectomy (with or without adenoidectomy or grommet insertion) under general anaesthesia. Patients were randomised to have their laryngeal mask removed whilst deeply anaesthetised (in the operating theatre) or after awakening (in the post-anaesthesia care unit (PACU)). Pediatric Anesthesia Emergence Delirium score was determined at 5 and 20 min after eye opening, and frequency of complications (cough, vomiting, excessive salivation, oxygen desaturation and laryngospasm) in the PACU were recorded. Sixty-two patients were randomised to deep laryngeal mask removal and 62 to awake. In the awake versus deep groups, 33 (53%) versus 40 (65%) participants had emergence delirium at 5 min (odds ratio (OR) 0.63, 95% confidence interval (CI) 0.30 to 1.29,

Indexed as

Anesthesia, GeneralEmergence DeliriumLaryngeal MasksTonsillectomyAnesthesia Recovery PeriodChildChild, PreschoolFemaleHumansIncidenceMaleWakefulnessairway managementAnesthesia generalemergence deliriumlaryngeal maskstonsillectomy

Identifiers

PMID39415757
PMCPMC11796287

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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.