Evidence map›Paper›PMID 41017731›Full record

ArticlePhysiological reports2025

Predictability of breathing parameters during cardiopulmonary exercise testing using entropy measurements.

Léon Genecand, Cyril Jaksic, Gaëtan Simian, Roberto Desponds, Ivan Guerreiro, Chloé Cantero, Marco Altarelli, Isabelle Frésard, Frédéric Lador, Antoine Beurnier and 4 more

Abstract read
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In one paragraph

Article in Physiological reports, 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

14 authors.

Léon GenecandService de Pneumologie, Département de Médecine, Hôpitaux Universitaires de Genève, Genève, Switzerland.ORCID 0000-0001-6965-0480
Cyril JaksicCentre de Recherche Clinique, Hôpitaux Universitaires de Genève, Genève, Switzerland.
Gaëtan SimianFaculté de Mathématique, Université de Genève, Genève, Switzerland.
Roberto DespondsFaculté de Mathématique, Université de Genève, Genève, Switzerland.
Ivan GuerreiroService de Pneumologie, Département de Médecine, Hôpitaux Universitaires de Genève, Genève, Switzerland.ORCID 0000-0002-4295-3024
Chloé CanteroService de Pneumologie, Département de Médecine, Hôpitaux Universitaires de Genève, Genève, Switzerland.
Marco AltarelliService de Pneumologie, Centre Hospitalier du Valais Romand, Hôpital du Valais, Sion, Switzerland.
Isabelle FrésardService de Pneumologie, Centre Hospitalier du Valais Romand, Hôpital du Valais, Sion, Switzerland.
Frédéric LadorFaculté de Médecine, Université de Genève, Genève, Switzerland.
Antoine BeurnierUniversité Paris-Saclay, School of Medicine, Le Kremlin-Bicêtre, France.ORCID 0000-0002-0481-3266
Pierantonio LavenezianaAP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, Hôpitaux Pitié-Salpêtrière, Saint-Antoine et Tenon, Service Des Explorations fonctionnelles de la Respiration, de l'Exercice et de la Dyspnée (Département R3S), Paris, France.
David MontaniUniversité Paris-Saclay, School of Medicine, Le Kremlin-Bicêtre, France.ORCID 0000-0002-9358-6922
Anne BergeronService de Pneumologie, Département de Médecine, Hôpitaux Universitaires de Genève, Genève, Switzerland.
Pierre-Olivier BridevauxFaculté de Médecine, Université de Genève, Genève, Switzerland.

Funding

Fondation LancardisFondation Rankers HartmannLigue pulmonaire genevoiseLigue pulmonaire valaisanne
6 · The paper itself

Abstract

Erratic breathing at rest and during exercise has been described in patients with dysfunctional breathing (DB). Sample entropy (SampEn) and approximate entropy (ApEn) were developed to assess the predictability of parameters in time series data. However, SampEn and ApEn were developed for data without trends. Their potential role in interpreting datasets during cardiopulmonary exercise testing (CPET) remains uncertain. We used simulations based on real-life exercise data to evaluate the effects of trends, varying numbers of analyzed respiratory cycles, and different coefficients used to calculate the tolerance interval on ApEn and SampEn measurements. We tested the LOESS

Indexed as

Exercise TestRespirationEntropyHumansMaleabnormal breathing patternapproximate entropycardiopulmonary exercise testingdispersiondysfunctional breathingsample entropy

Identifiers

PMID41017731
PMCPMC12477547

What OpenQuestion holds

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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.