Evidence map›Paper›PMID 37057091›Full record

ArticleERJ open research2023

Quantitative computed tomography and visual emphysema scores: association with lung function decline.

Meghan C Koo, Wan C Tan, Jim C Hogg, Jean Bourbeau, Cameron J Hague, Jonathon A Leipsic, Miranda Kirby

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  8. Observational
  9. Quantitative Analysis for Lung Disease on Thin-Section CT.Diagnostics (Basel, Switzerland) · 2023
    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

7 authors at 3 institutions in 1 country.

Meghan C KooDepartment of Physics, Ryerson University, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-4853-1447
Wan C TanCentre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada.
Jim C HoggCentre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada.
Jean BourbeauMontreal Chest Institute of the Royal Victoria Hospital, McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-7649-038X
Cameron J HagueCentre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada.
Jonathon A LeipsicCentre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada.
Miranda KirbyDepartment of Physics, Ryerson University, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-2951-784X
University of British Columbia · CAMcGill University Health Centre · CAToronto Metropolitan University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computed tomography (CT) visual emphysema score is a better predictor of mortality than single quantitative CT emphysema measurements in COPD, but there are numerous CT measurements that reflect COPD-related disease features. The purpose of this study was to determine if linear combinations of quantitative CT measurements by principal component analysis (PCA) have a greater association with forced expiratory volume in 1 s (FEV Methods: In this retrospective, longitudinal study, demographic, spirometry and CT images were acquired. CT visual emphysema score and quantitative analysis were performed; low attenuation area <950 HU (LAA Results: Quantitative CT measures (LAA Conclusions: PCA with a combination of CT measurements reflecting several different COPD-related disease features independently predicted baseline lung function and increased the relative importance of quantitative CT compared with visual emphysema score for predicting lung function decline.

Identifiers

PMID37057091
PMCPMC10086696
OpenAlexW4321638904

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.