Evidence map›Paper›PMID 32801683›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2020

Quantitative CT Analysis in Patients with Pulmonary Emphysema: Do Calculated Differences Between Full Inspiration and Expiration Correlate with Lung Function?

Lan Song, Jonas A Leppig, Ralf H Hubner, Bianca C Lassen-Schmidt, Konrad Neumann, Dorothea C Theilig, Felix W Feldhaus, Ute L Fahlenkamp, Bernd Hamm, Wei Song and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  3. Observational
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  11. Measuring pulmonary function in COPD using quantitative chest computed tomography analysis.European respiratory review : an official journal of the European Respiratory Society · 2021
    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

12 authors at 4 institutions in 2 countries.

Lan Song *Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Jonas A Leppig *Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Ralf H HubnerDepartment of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
Bianca C Lassen-SchmidtFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.
Konrad NeumannInstitute of Biometrics and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-9482-0971
Dorothea C TheiligDepartment of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Felix W FeldhausDepartment of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-5664-7693
Ute L FahlenkampDepartment of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Bernd HammDepartment of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Wei SongDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Zhengyu JinDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.ORCID 0000-0002-6179-9632
Felix DoellingerDepartment of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-3661-8569
Charité - Universitätsmedizin Berlin · DEChinese Academy of Medical Sciences & Peking Union Medical College · CNFraunhofer Institute for Digital Medicine · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this retrospective study was to evaluate correlations between parameters of quantitative computed tomography (QCT) analysis, especially the 15th percentile of lung attenuation (P15), and parameters of clinical tests in a large group of patients with pulmonary emphysema. Patients and Methods: One hundred and seventy-two patients with pulmonary emphysema and chronic obstructive pulmonary disease (COPD) global initiative for chronic obstructive lung disease (GOLD) stage 3 or 4 were assessed by nonenhanced thin-section CT scans in full inspiratory and expiratory breath-hold, pulmonary function test (PFT), a 6-minute walk test (6MWT), and quality of life questionnaires (SGRQ and CAT). QCT parameters included total lung volume (TLV), total emphysema score (TES), and P15, all measured at inspiration (IN) and expiration (EX). Differences between inspiration and expiration were calculated for TLV (TLV Results: CT-measured lung volume in inspiration (TLV Conclusion: Our results suggest that QCT can help predict the severity of lung function decrease in patients with pulmonary emphysema and COPD GOLD 3 or 4. Some QCT parameters, including P15

Indexed as

Pulmonary Disease, Chronic ObstructivePulmonary EmphysemaForced Expiratory VolumeHumansLungQuality of LifeRetrospective StudiesTomography, X-Ray Computedchronic obstructive pulmonary diseasepulmonary emphysemapulmonary function testquantitative CT

Identifiers

PMID32801683
PMCPMC7413697
OpenAlexW3046697835

What OpenQuestion holds

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LicenceCC BY-NC
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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.