Evidence map›Paper›PMID 40230657›Full record

ArticleAmerican heart journal plus : cardiology research and practice2025

Predictors of improvement in cardiovascular biomarkers with singing.

Nitin Somasundaram, Nicholas Mohrdieck, Alexis Visotcky, Jacquelyn Kulinski

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Nitin SomasundaramDivision of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, United States of America.
Nicholas MohrdieckGillings School of Public Health, University of North Carolina, Chapel Hill, NC, United States of America.
Alexis VisotckyDepartment of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States of America.
Jacquelyn KulinskiDivision of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although regular physical exercise lowers the risk of coronary heart disease in both primary and secondary prevention populations, physical exercise may be difficult for some individuals, prompting the need for alternative therapies. This study is a sub-analysis of a previously completed clinical trial that aimed to assess the effect of singing on cardiac biomarkers. The previous trial included 60 patients recruited from a cardiology clinic (mean age 61 ± 13 years; 68 % women) with measurements of vascular endothelial function and heart rate variability (HRV), and the results showed that 14 min of singing improves endothelial function acutely, similar to a short bout of physical exercise. The present sub-analysis examined whether predictive variables (prior singing experience, gender, age, enjoyment level, effort, smoking history) impacted changes in outcome measures. No significant change was seen in endothelial function or HRV based on exposure variables except for smoking status. Past smoking (compared to never smoking) predicted improvement in vascular endothelial function after singing. Abnormal baseline endothelial function was a predictor of acute improvement in endothelial function. These findings suggest that singing may have beneficial effects on vascular endothelial function, especially in patients with abnormal baseline endothelial function, regardless of singing experience.

Indexed as

Cardiac rehabilitationEndothelial functionHeart rate variabilitySinging

Identifiers

PMID40230657
PMCPMC11994343

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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.