Evidence map›Paper›PMID 39920601›Full record

Observational studyBMC pulmonary medicine2025

Respiratory abnormalities in sarcoidosis: physiopathology and early diagnosis using oscillometry combined with respiratory modeling.

Bruno Falcão Oliveira, Caroline Oliveira Ribeiro, Cíntia Moraes de Sá Sousa, Mariana Carneiro Lopes, Agnaldo José Lopes, Pedro Lopes de Melo

Abstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 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.

Bruno Falcão OliveiraDepartment of Physiology, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Caroline Oliveira RibeiroDepartment of Physiology, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Cíntia Moraes de Sá SousaDepartment of Physiology, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Mariana Carneiro LopesFaculty of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Agnaldo José LopesPulmonary Function Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Pedro Lopes de MeloDepartment of Physiology, State University of Rio de Janeiro, Rio de Janeiro, Brazil. plopes@uerj.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcoidosis is a multisystemic syndrome of uncertain etiology with abnormal respiratory findings in approximately 90% of cases. Spirometry is the most common lung function test used for assessing lung function in diagnosis and monitoring pulmonary health. Respiratory oscillometry allows a simple alternative for the analysis of respiratory abnormalities. Integer-order and fractional-order modeling have increasingly been used to interpret measurements obtained from oscillometry, offering a detailed description of the respiratory system. In this study, we aimed to enhance our understanding of the pathophysiological changes in sarcoidosis and assess the diagnostic accuracy of these models.

methodsThis observational study includes 25 controls and 50 individuals with sarcoidosis divided into normal to spirometry (SNS) and abnormal spirometry (SAS). The diagnostic accuracy was evaluated by investigating the area under the receiver operating characteristic curve (AUC).

resultsThe integer-order model showed significant airway and total resistance increases in the SNS and SAS groups. There was a reduction in compliance and an increase in peripheral resistance in the SAS group (p < 0.001). The fractional-order model showed increased energy dissipation and hysteresivity in the SNS and SAS groups. Correlation analysis revealed significant associations among model and spirometric parameters, where the strongest associations were between total resistance and FEV

conclusionThe studied models provided a deeper understanding of pulmonary mechanical changes in sarcoidosis. The results suggest that parameters obtained through the studied models enhance evaluation and enable better management of these patients. Specifically, total resistance and hysteresivity parameters demonstrated diagnostic potential, which may be beneficial for the early identification of individuals with sarcoidosis, even when spirometry results are within normal ranges.

Indexed as

LungOscillometrySarcoidosis, PulmonaryAdultAirway ResistanceCase-Control StudiesEarly DiagnosisFemaleForced Expiratory VolumeHumansMaleMiddle AgedRespiratory Function TestsROC CurveSpirometryBiomedical instrumentationDiagnose of respiratory diseasesForced oscillation techniqueFractional order modelingInteger respiratory modelingRespiratory mechanics

Identifiers

PMID39920601
PMCPMC11806852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.