Evidence map›Paper›PMID 37884922›Full record

Observational studyBMC pulmonary medicine2023

Oscillometry of the respiratory system in Parkinson's disease: physiological changes and diagnostic use.

Bruno Tavares Caldas, Fernando Carlos Vetromille Ribeiro, João Santos Pereira, Wilma Costa Souza, Agnaldo José Lopes, Pedro Lopes de Melo

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors at 3 institutions in 1 country.

Bruno Tavares CaldasDepartment of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Fernando Carlos Vetromille RibeiroDepartment of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
João Santos PereiraDepartment of Neurology, Pedro Ernesto University Hospital, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Wilma Costa SouzaCarioca Parkinson Association, Municipal Rehabilitation Center, Rio de Janeiro, Brazil.
Agnaldo José LopesDepartment of Pulmonology, Respiratory Function Testing Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Pedro Lopes de MeloDepartment of Physiological Sciences, Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil. plopes@uerj.br.
Universidade do Estado do Rio de Janeiro · BRCentro Universitário Carioca · BRHospital Universitário Pedro Ernesto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung function analysis in Parkinson's disease (PD) is often difficult due to the demand for adequate forced expiratory maneuvers. Respiratory oscillometry exams require onlyquiet tidal breathing and provide a detailed analysis of respiratory mechanics. We hypothesized that oscillometry would simplify the diagnosis of respiratory abnormalitiesin PD and improve our knowledge about the pathophysiological changes in these patients. MATERIALS AND

methodsThis observational study includes 20 controls and 47 individuals with PD divided into three groups (Hoehn and Yahr Scale 1-1.5; H&Y scale 2-3 and PD smokers).The diagnostic accuracy was evaluated by investigating the area under the receiver operating characteristic curve (AUC).

resultsInitial stages are related to increased peripheral resistance (Rp; p = 0.001). In more advanced stages, a restrictive pattern is added, reflected by reductions in dynamic compliance (p < 0.05) and increase in resonance frequency (Fr; p < 0.001). Smoking PD patients presented increased Rp (p < 0.001) and Fr (p < 0.01). PD does not introduce changes in the central airways. Oscillometric changes were correlated with respiratory muscle weakness (R = 0.37, p = 0.02). Rp showed adequate accuracy in the detection of early respiratory abnormalities (AUC = 0.858), while in more advanced stages, Fr showed high diagnostic accuracy (AUC = 0.948). The best parameter to identify changes in smoking patients was Rp (AUC = 0.896).

conclusionThe initial stages of PD are related to a reduction in ventilation homogeneity associated with changes in peripheral airways. More advanced stages also include a restrictive ventilatory pattern. These changes were correlated with respiratory muscle weakness and were observed in mild and moderate stages of PD in smokers and non-smokers. Oscillometry may adequately identify respiratory changes in the early stages of PD and obtain high diagnostic accuracy in more advanced stages of the disease.

Indexed as

Parkinson DiseaseRespiration DisordersHumansLungOscillometryRespiratory MechanicsSpirometryDiagnostic of respiratory diseasesForced oscillation techniqueRespiratory impedanceSmoking

Identifiers

PMID37884922
PMCPMC10605979
OpenAlexW4387965844

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.