Evidence map›Paper›PMID 34261743›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2021

Measuring pulmonary function in COPD using quantitative chest computed tomography analysis.

Jens T Bakker, Karin Klooster, Rozemarijn Vliegenthart, Dirk-Jan Slebos

Open access · diamondAbstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  5. Review
  6. HighERJ open research · 2026
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  14. Diagnosis and Severity Assessment of COPD Based on Machine Learning of Chest CT Images.International journal of chronic obstructive pulmonary disease · 2025
    Article
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  19. Observational
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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

4 authors at 1 institution in 1 country.

Jens T BakkerDept of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands j.t.bakker@umcg.nl.ORCID https://orcid.org/0000-0002-0499-9793
Karin KloosterDept of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Rozemarijn VliegenthartDept of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Dirk-Jan SlebosDept of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-9555-3422
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COPD is diagnosed and evaluated by pulmonary function testing (PFT). Chest computed tomography (CT) primarily serves a descriptive role for diagnosis and severity evaluation. CT densitometry-based emphysema quantification and lobar fissure integrity assessment are most commonly used, mainly for lung volume reduction purposes and scientific efforts.A shift towards a more quantitative role for CT to assess pulmonary function is a logical next step, since more, currently underutilised, information is present in CT images. For instance, lung volumes such as residual volume and total lung capacity can be extracted from CT; these are strongly correlated to lung volumes measured by PFT.This review assesses the current evidence for use of quantitative CT as a proxy for PFT in COPD and discusses challenges in the movement towards CT as a more quantitative modality in COPD diagnosis and evaluation. To better understand the relevance of the traditional PFT measurements and the role CT might play in the replacement of these parameters, COPD pathology and traditional PFT measurements are discussed.

Indexed as

Pulmonary Disease, Chronic ObstructivePulmonary EmphysemaHumansLungLung Volume MeasurementsTomography, X-Ray Computed

Identifiers

PMID34261743
PMCPMC9518001
OpenAlexW3178719612

What OpenQuestion 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 OpenQuestion graph.