Evidence map›Paper›PMID 35396320›Full record

ArticleBMJ open respiratory research2022

Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis.

Joyce K Y Wu, Jin Ma, Lena Nguyen, Emily Leah Dehaas, Anastasiia Vasileva, Ehren Chang, Jady Liang, Qian Wen Huang, Antonio Cassano, Matthew Binnie and 6 more

Abstract read
In one paragraph

Article in BMJ open respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

16 authors.

Joyce K Y WuDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Jin MaBiostatistics Research Unit, University Health Network, Toronto, Ontario, Canada.
Lena NguyenMedicine, University of Toronto, Toronto, Ontario, Canada.
Emily Leah DehaasMedicine, University of Toronto, Toronto, Ontario, Canada.
Anastasiia VasilevaDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Ehren ChangMedicine, University of Toronto, Toronto, Ontario, Canada.
Jady LiangMedicine, University of Toronto, Toronto, Ontario, Canada.
Qian Wen HuangMedicine, University of Toronto, Toronto, Ontario, Canada.
Antonio CassanoDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Matthew BinnieDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Shane ShaperaDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Jolene FisherDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Clodagh M RyanDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Micheal Chad McInnisJoint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
Zoltán HantosDepartment of Anesthesiology and Intensive Therapy, Semmelweis University, Budapest, Hungary.
Chung-Wai ChowDepartment of Medicine, University Health Network, Toronto, Ontario, Canada Chung-Wai.Chow@uhn.ca.ORCID 0000-0001-9344-8522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMarkers of idiopathic pulmonary fibrosis (IPF) severity are based on measurements of forced vital capacity (FVC), diffusing capacity (DLCO) and CT. The pulmonary vessel volume (PVV) is a novel quantitative and independent prognostic structural indicator derived from automated CT analysis. The current prospective cross-sectional study investigated whether respiratory oscillometry provides complementary data to pulmonary function tests (PFTs) and is correlated with PVV.

methodsFrom September 2019 to March 2020, we enrolled 89 patients with IPF diagnosed according to international guidelines. We performed standard spectral (5-37 Hz) and novel intrabreath tracking (10 Hz) oscillometry followed by PFTs. Patients were characterised with the gender-age-physiology (GAP) score. CT images within 6 months of oscillometry were analysed in a subgroup (26 patients) using automated lung texture analysis. Correlations between PFTs, oscillometry and imaging variables were investigated using different regression models.

findingsThe cohort (29F/60M; age=71.7±7.8 years) had mild IPF (%FVC=70±17, %DLCO=62±17). Spectral oscillometry revealed normal respiratory resistance, low reactance, especially during inspiration at 5 Hz (X5in), elevated reactance area and resonance frequency. Intrabreath oscillometry identified markedly low reactance at end-inspiration (XeI). XeI and X5in strongly correlated with FVC (r

interpretationXeI is an independent marker of IPF severity that offers additional information to standard PFTs. The data provide a cogent rationale for adding oscillometry in IPF assessment.

Indexed as

Idiopathic Pulmonary FibrosisAgedCross-Sectional StudiesHumansMiddle AgedOscillometryRespiratory Function TestsTomography, X-Ray ComputedImaging/CT MRI etcInterstitial FibrosisLung Physiology

Identifiers

PMID35396320
PMCPMC8996008

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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.