Evidence map›Paper›PMID 38559325›Full record

ArticleRespiratory medicine case reports2024

Respiratory oscillometry with CT image analysis in idiopathic pulmonary fibrosis following single lung transplant.

Joyce K Y Wu, Jessica Jia-Ni Xu, Anastasiia Vasileva, Cynthia Nohra, Matthew Binnie, Shane Shapera, Jolene H Fisher, Clodagh M Ryan, Micheal McInnis, Zoltán Hantos and 1 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory medicine case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Respiratory oscillometry in monitoring lung transplant allograft function: a systematic scoping review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Article
  2. 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

11 authors.

Joyce K Y WuDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Jessica Jia-Ni XuDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Anastasiia VasilevaDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Cynthia NohraDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Matthew BinnieDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Shane ShaperaDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Jolene H FisherDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Clodagh M RyanDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.
Micheal McInnisJoint Department of Medical Imaging, University Health Network, Toronto, Canada.
Zoltán HantosDepartment of Anesthesiology and Intensive Therapy, Semmelweis University, Budapest, Hungary.
Chung-Wai ChowDivision of Respirology, Department of Medicine, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oscillometry is an emerging pulmonary function testing tool that is conducted during tidal breaths with minimal patient effort. It is highly sensitive to changes in lung mechanics. Oscillometry was recently shown to be highly associated with disease severity in idiopathic pulmonary fibrosis (IPF). The usefulness of oscillometry after single lung transplant in IPF patients is not well understood. Our study demonstrated that oscillometry can detect changes in the graft despite presence of a native fibrotic lung to provide useful information to complement spirometry.

Identifiers

PMID38559325
PMCPMC10973643

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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.