Evidence map›Paper›PMID 32725552›Full record

ArticleEJNMMI research2020

Correlation of positron emission tomography ventilation-perfusion matching with CT densitometry in severe emphysema.

Asha Bonney, Carrie-Anne Wagner, Shankar Siva, Jason Callahan, Pierre-Yves Le Roux, Diane M Pascoe, Louis Irving, Michael S Hofman, Daniel P Steinfort

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

Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 85% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 3 institutions in 1 country.

Asha BonneyDepartment of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Carrie-Anne WagnerDepartment of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Shankar SivaDepartment of Medicine, University of Melbourne, Parkville, Victoria, Australia.
Jason CallahanDepartment of Radiation Oncology, Sir Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Pierre-Yves Le RouxDepartment of Molecular Imaging and Therapeutic Nuclear Medicine, Sir Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Diane M PascoeDepartment of Medicine, University of Melbourne, Parkville, Victoria, Australia.
Louis IrvingDepartment of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Michael S HofmanDepartment of Medicine, University of Melbourne, Parkville, Victoria, Australia.
Daniel P SteinfortDepartment of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia. daniel.steinfort@unimelb.edu.au.
Peter MacCallum Cancer Centre · AUThe Royal Melbourne Hospital · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmphysema severity is frequently measured on CT via densitometry. Correlation with scintigraphic and spirometric functional measures of ventilation or perfusion varies widely, and no prior study has evaluated correlation between densitometry and lobar ventilation/perfusion in patients with severe emphysema. The aim of this study was to evaluate the utility and findings of gallium-68 (

methodsFourteen consecutive patients undergoing evaluation for bronchoscopic lung volume reduction between March 2015 and March 2018 underwent

resultsCT densitometry assessment of emphysema correlated only weakly (R

conclusionsAssessment of lobar pulmonary function by

Indexed as

BronchoscopyEmphysemaPerfusionPETVentilation

Identifiers

PMID32725552
PMCPMC7387398
OpenAlexW3046151479

What OpenQuestion holds

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LicenceCC BY
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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.