Evidence map›Paper›PMID 32606651›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2020

Differences Between Central Airway Obstruction and Chronic Obstructive Pulmonary Disease Detected with the Forced Oscillation Technique.

Masanori Yasuo, Yoshiaki Kitaguchi, Yayoi Tokoro, Makoto Kosaka, Yosuke Wada, Takumi Kinjo, Atsuhito Ushiki, Hiroshi Yamamoto, Masayuki Hanaoka

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2020. 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
0.5field-weighted citation impact, top 30% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Observational
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

9 authors at 1 institution in 1 country.

Masanori Yasuo *The First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0003-3779-728X
Yoshiaki Kitaguchi *The First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0002-3922-4082
Yayoi TokoroThe First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0002-0220-4782
Makoto KosakaThe First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Yosuke WadaThe First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0003-3349-2980
Takumi KinjoThe First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Atsuhito UshikiThe First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Hiroshi YamamotoThe First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0002-4056-9264
Masayuki HanaokaThe First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Shinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obstructive ventilatory disturbances occur in both chronic obstructive pulmonary disease (COPD), a typical disease representative of peripheral airway obstruction, and central airway obstruction (CAO). Pulmonary function tests (PFTs), which depend on patient effort, are traditionally used to evaluate lung function. The forced oscillation technique (FOT) is an effort-independent method for examining lung function during tidal breathing. The FOT is used universally to assess respiratory function in patients with COPD. Several studies have measured FOT to assess ventilatory disturbances in CAO. The results showed that FOT measurements in patients with CAO were similar to those reported in patients with COPD. However, no studies have compared FOT measurements directly between CAO and COPD. The aim of this study was to identify differences in ventilatory disturbances between peripheral and central airway obstructions in COPD and CAO, before patients received pharmacological therapy or bronchoscopic interventions, respectively. Patients and Methods: We retrospectively included 16 patients with CAO (10 cases of tracheal obstruction and 6 cases of bronchial obstruction) and 75 treatment-naïve patients with COPD (60 cases in Global Initiative for Chronic Obstructive Lung Disease [GOLD] stage II and 15 cases in GOLD stage III) that were admitted from December 2013 to May 2017. Prior to treatment, patients were examined with the FOT and PFTs. Results: All parameters measured with the FOT in the inspiratory phase were significantly worse in patients with CAO than in patients with COPD. The PFTs showed that the CAO group had a significantly lower peak expiratory flow rate. In the airway wall thickening phenotype of COPD, a difference between the inspiratory and expiratory phases of the resonance frequency (ΔFres) was the best indicator for distinguishing between peripheral and central airway obstructions. Conclusion: This study compared differences between CAO and COPD (mainly GOLD stage II). We found that the FOT measurement, ΔFres, was the optimal indicator of the difference between the airway wall thickening COPD phenotype and CAO. Thus, the difference might be due to mechanical changes that occur in COPD with airway wall thickening.

Indexed as

Airway ObstructionPulmonary Disease, Chronic ObstructiveAirway ResistanceForced Expiratory VolumeHumansOscillometryRespiratory Function TestsRetrospective Studiescentral airway obstructionCOPDforced oscillation techniquepulmonary function testquality of life

Identifiers

PMID32606651
PMCPMC7310967
OpenAlexW3035813122

What OpenQuestion holds

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LicenceCC BY-NC
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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.