Evidence map›Paper›PMID 34834436›Full record

ArticleJournal of personalized medicine2021

Effects of Algorithmic Music on the Cardiovascular Neural Control.

Alfredo Raglio, Beatrice De Maria, Francesca Perego, Gianluigi Galizia, Matteo Gallotta, Chiara Imbriani, Alberto Porta, Laura Adelaide Dalla Vecchia

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

8 authors at 2 institutions in 1 country.

Alfredo RaglioIRCCS Istituti Clinici Scientifici Maugeri, 27100 Pavia, Italy.
Beatrice De MariaIRCCS Istituti Clinici Scientifici Maugeri, 20138 Milan, Italy.ORCID 0000-0001-5360-3137
Francesca PeregoIRCCS Istituti Clinici Scientifici Maugeri, 20138 Milan, Italy.ORCID 0000-0003-3973-6931
Gianluigi GaliziaIRCCS Istituti Clinici Scientifici Maugeri, 28010 Veruno, Italy.
Matteo GallottaIRCCS Istituti Clinici Scientifici Maugeri, 20138 Milan, Italy.
Chiara ImbrianiIRCCS Istituti Clinici Scientifici Maugeri, 27100 Pavia, Italy.
Alberto PortaDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-6720-9824
Laura Adelaide Dalla VecchiaIRCCS Istituti Clinici Scientifici Maugeri, 20138 Milan, Italy.ORCID 0000-0002-6516-0959
Istituti Clinici Scientifici Maugeri · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Music influences many physiological parameters, including some cardiovascular (CV) control indices. The complexity and heterogeneity of musical stimuli, the integrated response within the brain and the limited availability of quantitative methods for non-invasive assessment of the autonomic function are the main reasons for the scarcity of studies about the impact of music on CV control. This study aims to investigate the effects of listening to algorithmic music on the CV regulation of healthy subjects by means of the spectral analysis of heart period, approximated as the time distance between two consecutive R-wave peaks (RR), and systolic arterial pressure (SAP) variability. We studied 10 healthy volunteers (age 39 ± 6 years, 5 females) both while supine (REST) and during passive orthostatism (TILT). Activating and relaxing algorithmic music tracks were used to produce possible contrasting effects. At baseline, the group featured normal indices of CV sympathovagal modulation both at REST and during TILT. Compared to baseline, at REST, listening to both musical stimuli did not affect time and frequency domain markers of both SAP and RR, except for a significant increase in mean RR. A physiological TILT response was maintained while listening to both musical tracks in terms of time and frequency domain markers, compared to baseline, an increase in mean RR was again observed. In healthy subjects featuring a normal CV neural profile at baseline, algorithmic music reduced the heart rate, a potentially favorable effect. The innovative music approach of this study encourages further research, as in the presence of several diseases, such as ischemic heart disease, hypertension, and heart failure, a standardized musical stimulation could play a therapeutic role.

Indexed as

algorithmic musicarterial pressure variabilitybaroreflexcardiovascular neural controlheart rate variabilityMelomics-Healthmusic listening

Identifiers

PMID34834436
PMCPMC8618683
OpenAlexW3211249228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.