Evidence map›Paper›PMID 41403468›Full record

ArticleFrontiers in physiology2025

Entropy as a marker of physiological transition during pediatric cardiopulmonary exercise testing.

Kaleigh O'Hara, Donald E Brown, Dan M Cooper, Annamarie Stehli, Shlomit Radom Aizik, Natalie Kupperman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 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

6 authors.

Kaleigh O'HaraSchool of Data Science, University of Virginia, Charlottesville, VA, United States.
Donald E BrownSchool of Data Science, University of Virginia, Charlottesville, VA, United States.
Dan M CooperInstitute for Clinical and Translational Science, University of California, Irvine, CA, United States.
Annamarie StehliDepartment of Pediatrics, Pediatric Exercise and Genomics Research Center, University of California, Irvine, CA, United States.
Shlomit Radom Aizik *Department of Pediatrics, Pediatric Exercise and Genomics Research Center, University of California, Irvine, CA, United States.
Natalie Kupperman *School of Data Science, University of Virginia, Charlottesville, VA, United States.

Funding

Institute for Clinical and Translational ScienceUM1TR004927 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAN M COOPER, Eric J. Vilain · 2024 to 2026
$12.2M
Transforming Exercise Testing and Physical Activity Assessment in Children: New Approaches to Advance Clinical Translational Research in Child HealthU01TR002004 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, RADOM-AIZIK, SHLOMIT · 2018 to 2022
$6.5M
NCATS NIH HHS U01 TR002004NCATS NIH HHS UM1 TR004927
6 · The paper itself

Abstract

This research analyzed the sample entropy (SampEn) of breath-by-breath cardiopulmonary exercise testing (CPET) data from 170 healthy pediatric participants (85 males) 8 to 18-years-old, using a Bayesian statistics approach. SampEn measures the complexity of time series data, providing quantitative insight into the predictability of breathing patterns in pediatric participants. To address non-stationarity, signals were differenced prior to SampEn calculation. In addition to sex and age group comparisons, we examined SampEn before and after the midpoint of each participant's CPET to assess how SampEn changes as exercise intensity increases. We corroborated previous findings that SampEn decreases in the later half of CPET for healthy pediatric participants for oxygen uptake

Indexed as

bayesian statisticsbreath-by-breathcardiopulmonary exercise testingentropypediatrics

Identifiers

PMID41403468
PMCPMC12702724

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.