Evidence map›Paper›PMID 34503520›Full record

ArticleRespiratory research2021

Prediction of lung emphysema in COPD by spirometry and clinical symptoms: results from COSYCONET.

Christina Kellerer, Rudolf A Jörres, Antonius Schneider, Peter Alter, Hans-Ulrich Kauczor, Bertram Jobst, Jürgen Biederer, Robert Bals, Henrik Watz, Jürgen Behr and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01245933 (Impact of Systemic Manifestations/Comorbidities on Clinical State, Prognosis and Utilisation of Health Care Resources in Patients With COPD), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 10% 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.

NCT01245933 completednot on this map

Impact of Systemic Manifestations/Comorbidities on Clinical State, Prognosis and Utilisation of Health Care Resources in Patients With COPD

TypeobservationalSponsorPhilipps University MarburgRan2010 to 2023Enrolled2,741ConditionsChronic Obstructive Pulmonary Disease (COPD)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Observational
  7. Review
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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

18 authors at 7 institutions in 2 countries.

Christina KellererSchool of Medicine, Institute of General Practice and Health Services Research, Technische Universität München/Klinikum Rechts der Isar, Orleansstr. 47, 81667, Munich, Germany. christina.kellerer@mri.tum.de.ORCID http://orcid.org/0000-0002-0670-6392
Rudolf A JörresInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Comprehensive Pneumology Center Munich (CPC-M), Ludwig-Maximilians-Universität München, Ziemssenstr. 1, 80336, Munich, Germany.
Antonius SchneiderSchool of Medicine, Institute of General Practice and Health Services Research, Technische Universität München/Klinikum Rechts der Isar, Orleansstr. 47, 81667, Munich, Germany.
Peter AlterDepartment of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University Marburg, German Center for Lung Research (DZL), Baldingerstrasse, 35043, Marburg, Germany.
Hans-Ulrich KauczorDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Bertram JobstDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Jürgen BiedererDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
Robert BalsDepartment of Internal Medicine V - Pulmonology, Allergology, Respiratory Intensive Care Medicine, Saarland University Hospital, Kirrberger Straße 1, 66424, Homburg, Germany.
Henrik WatzAirway Research Center North (ARCN), German Center for Lung Research (DZL), Pulmonary Research Institute at LungenClinic Grosshansdorf, Woehrendamm 80, 22927, Grosshansdorf, Germany.
Jürgen BehrDepartment of Internal Medicine V, University of Munich (LMU), Comprehensive Pneumology Center, German Center for Lung Research, Ziemssenstr. 1, 80336, Munich, Germany.
Diego Kauffmann-GuerreroDepartment of Internal Medicine V, University of Munich (LMU), Comprehensive Pneumology Center, German Center for Lung Research, Ziemssenstr. 1, 80336, Munich, Germany.
Johanna LutterComprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), Institute of Epidemiology, Helmholtz Zentrum München (GmbH) - German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Alexander HapfelmeierSchool of Medicine, Institute of General Practice and Health Services Research, Technische Universität München/Klinikum Rechts der Isar, Orleansstr. 47, 81667, Munich, Germany.
Helgo MagnussenAirway Research Center North (ARCN), German Center for Lung Research (DZL), Pulmonary Research Institute at LungenClinic Grosshansdorf, Woehrendamm 80, 22927, Grosshansdorf, Germany.
Franziska C TrudzinskiTranslational Lung Research Centre Heidelberg (TLRC), Member of the German Center for Lung Research, Thoraxklinik-Heidelberg gGmbH, Röntgenstraße 1, 69126, Heidelberg, Germany.
Tobias WelteDepartment of Pneumology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Claus F VogelmeierDepartment of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University Marburg, German Center for Lung Research (DZL), Baldingerstrasse, 35043, Marburg, Germany.
Kathrin KahnertDepartment of Internal Medicine V, University of Munich (LMU), Comprehensive Pneumology Center, German Center for Lung Research, Ziemssenstr. 1, 80336, Munich, Germany.
German Center for Lung Research · DEHeidelberg University · DETUM Klinikum · DEHelmholtz Zentrum München · DELudwig-Maximilians-Universität München · DEMedizinische Hochschule Hannover · DESaarland University · DE

Funding

Bundesministerium für Bildung und Forschung 01GI0881Deutsche Zentrum für Lungenforschung 82DZLI05A2
6 · The paper itself

Abstract

backgroundLung emphysema is an important phenotype of chronic obstructive pulmonary disease (COPD), and CT scanning is strongly recommended to establish the diagnosis. This study aimed to identify criteria by which physicians with limited technical resources can improve the diagnosis of emphysema.

methodsWe studied 436 COPD patients with prospective CT scans from the COSYCONET cohort. All items of the COPD Assessment Test (CAT) and the St George's Respiratory Questionnaire (SGRQ), the modified Medical Research Council (mMRC) scale, as well as data from spirometry and CO diffusing capacity, were used to construct binary decision trees. The importance of parameters was checked by the Random Forest and AdaBoost machine learning algorithms.

resultsWhen relying on questionnaires only, items CAT 1 & 7 and SGRQ 8 & 12 sub-item 3 were most important for the emphysema- versus airway-dominated phenotype, and among the spirometric measures FEV

conclusionsSelected items (cough, sleep, breathlessness, chest condition, slow walking) from comprehensive COPD questionnaires in combination with FEV

Indexed as

Decision TreesSeverity of Illness IndexAgedCohort StudiesComorbidityFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesPulmonary Disease, Chronic ObstructivePulmonary EmphysemaSpirometryTomography, X-Ray ComputedAdaboostCOPD phenotypesCT scanDecision treesEmphysemaRandom forest

Identifiers

PMID34503520
PMCPMC8427948
OpenAlexW3197226383

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.