Evidence map›Paper›PMID 40291081›Full record

ArticleProceedings (Baylor University. Medical Center)2025

Music therapy in addition to music listening for the prevention of delirium in mechanically ventilated patients.

Jeannette Crew, Ahmed Abdelmonem, Xuan Wang, Charles Harmon, Ariel Modrykamien

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 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

5 authors.

Jeannette CrewDepartment of Internal Medicine, Baylor University Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-8009-6836
Ahmed AbdelmonemDivision of Pulmonary and Critical Care Medicine, Baylor University Medical Center, Dallas, Texas, USA.
Xuan WangBiostatistics Department, Baylor Scott & White Research Institute, Dallas, Texas, USA.
Charles HarmonMusic Therapy Department, Baylor University Medical Center, Dallas, Texas, USA.
Ariel ModrykamienDivision of Pulmonary and Critical Care Medicine, Baylor University Medical Center, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Delirium in mechanically ventilated patients has resulted in prolonged intensive care unit (ICU) and ventilator stay and higher mortality. Research has shown that a bundle containing sedation awakening and spontaneous breathing trials, appropriate choice of sedatives, early mobilization, and family engagement was associated with a reduced rate of delirium. Music listening and music therapy have also been studied, showing promising results for anxiety and pain control, but have not been studied in terms of preventing delirium. Methods: As part of a quality improvement project, we implemented a protocol of music listening and music therapy for mechanically ventilated patients. The rate of delirium, ICU and ventilator lengths of stay, and mortality were compared between groups (n = 17 protocol, n = 50 control). Results: There were no statistically significant differences in demographic characteristics, severity of illness, medical comorbidities, or cumulative doses of sedating medications between the groups. The rate of delirium between groups was not statistically significantly different (11.8% vs 16%, Conclusion: The music therapy and music listening protocol did not show a reduction of the delirium rate for mechanically ventilated patients.

Indexed as

Deliriumlength of staymechanical ventilationmusic therapysedation

Identifiers

PMID40291081
PMCPMC12026178

What OpenQuestion holds

Textmetadata
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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.