Evidence map›Paper›PMID 42587255›Full record

ArticleAnnals of biomedical engineering2026

Multiscale Entropy Reveals Reduced Airflow Complexity in Chronic Obstructive Pulmonary Disease: Associations with Spirometry and Diagnostic Utility.

Eduarda Martins de Faria, Cíntia Moraes de Sá Sousa, Caroline de Oliveira Ribeiro, Agnaldo José Lopes, Pedro Lopes de Melo

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2026. 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

5 authors.

Eduarda Martins de FariaBiomedical Instrumentation Laboratory, Institute of Biology, Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-5255-625X
Cíntia Moraes de Sá SousaBiomedical Instrumentation Laboratory, Institute of Biology, Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0003-4777-222X
Caroline de Oliveira RibeiroBiomedical Instrumentation Laboratory, Institute of Biology, Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-3180-3215
Agnaldo José LopesDepartment of Pulmonology, Respiratory Function Testing Laboratory, Rio de Janeiro State University, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0001-8598-4878
Pedro Lopes de MeloBiomedical Instrumentation Laboratory, Institute of Biology, Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil. plopes@uerj.br.ORCID http://orcid.org/0000-0002-2081-6619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the ability of multiscale entropy (MSE) methods to characterize alterations in airflow dynamics in chronic obstructive pulmonary disease (COPD) and to evaluate their associations with lung function and diagnostic performance.

methodsSpontaneous airflow signals were recorded during 150 s from 29 controls and 25 patients with COPD. Signal complexity was quantified using MSE, refined composite MSE (RCMSE), refined composite multiscale fuzzy entropy (RCMFE), and multiscale permutation entropy (MPE). The area under the entropy curve was calculated over predefined scale ranges (S

resultsCOPD patients showed a consistent reduction in airflow complexity across all entropy measures. Entropy indices were positively associated with spirometric parameters and inversely associated with R6, indicating progressive loss of complexity with increasing airway obstruction. The strongest correlations were observed at τ = 1, particularly with R6. Among multiscale indices, S

conclusionMultiscale entropy analysis of spontaneous airflow provides a sensitive, noninvasive approach for detecting and characterizing respiratory dysfunction in COPD. These methods capture clinically relevant alterations in airflow dynamics and offer complementary information to conventional lung function tests. Further studies are warranted to validate these findings and enhance their clinical applicability.

Indexed as

COPD diagnosticMultiscale entropyNonlinear dynamicsRespiratory entropyRespiratory oscillometryRespiratory system complexity

Identifiers

PMID42587255

What OpenQuestion holds

Textmetadata
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.