Evidence map›Paper›PMID 39448064›Full record

Observational studyRespirology (Carlton, Vic.)2025

Diffusion capacity and static hyperinflation as markers of disease progression predict 3-year mortality in COPD: Results from COSYCONET.

Hendrik Pott, Barbara Weckler, Swetlana Gaffron, Roman Martin, Dieter Maier, Peter Alter, Frank Biertz, Tim Speicher, Wilhelm Bertrams, Anna Lena Jung and 6 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Respirology (Carlton, Vic.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
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

16 authors.

Hendrik PottDepartment of Medicine, Pulmonary and Critical Care Medicine, Clinic for Airway Infections, University Medical Centre Marburg, Philipps-University Marburg, Marburg, Germany.ORCID 0000-0002-6842-143X
Barbara WecklerDepartment of Medicine, Pulmonary and Critical Care Medicine, Clinic for Airway Infections, University Medical Centre Marburg, Philipps-University Marburg, Marburg, Germany.
Swetlana GaffronViscovery Gmbh, Vienna, Austria.
Roman MartinHeinrich Heine University Düsseldorf, Machine Learning for Medical Data, Institute for Computer Science, Düsseldorf, Germany.ORCID 0000-0001-7678-7856
Dieter MaierLabvantage-Biomax GmbH, Munich, Germany.
Peter AlterDepartment of Medicine, Pulmonary and Critical Care Medicine, University of Marburg (UMR), Member of the German Centre for Lung Research [DZL], Marburg, Germany.ORCID 0000-0002-2115-1743
Frank BiertzCAPNETZ Foundation, Medical University Hannover, Hannover, Germany.
Tim SpeicherDepartment of Medicine, Pulmonary and Critical Care Medicine, University of Marburg (UMR), Member of the German Centre for Lung Research [DZL], Marburg, Germany.
Wilhelm BertramsInstitute for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Marburg, Germany.
Anna Lena JungInstitute for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Marburg, Germany.ORCID 0000-0002-7762-4597
Katrin LaakmannInstitute for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Marburg, Germany.
Dominik HeiderInstitute for Medical Informatics, University of Münster, Münster, Germany.
Miel WoutersMaastricht University Medical Centre, Maastricht, the Netherlands and Sigmund Freud Private University, Vienna, Austria.
Claus F VogelmeierDepartment of Medicine, Pulmonary and Critical Care Medicine, University of Marburg (UMR), Member of the German Centre for Lung Research [DZL], Marburg, Germany.
Bernd SchmeckDepartment of Medicine, Pulmonary and Critical Care Medicine, Clinic for Airway Infections, University Medical Centre Marburg, Philipps-University Marburg, Marburg, Germany.ORCID 0000-0002-2767-3606
COSYCONET Study Group

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research; BMBF) 01 GI 0881Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research; BMBF) FKZ 01ZZ2318ADeutsche Forschungsgemeinschaft SFB/TR-84 TP C01Deutsches Zentrum für Lungenforschung 82DZLI05C2ERACoSysMed2-SysMed-COPD FKZ 031L0140Hessisches Ministerium für Wissenschaft und Kunst (LOEWE Habitat)PermedCOPD FKZ 01EK2203AVon-Behring-Röntgen-Stiftung 66-LV07
6 · The paper itself

Abstract

BACKGROUND AND

objectiveChronic obstructive pulmonary disease (COPD) exhibits diverse patterns of disease progression, due to underlying disease activity. We hypothesized that changes in static hyperinflation or KCO % predicted would reveal subgroups with disease progression unidentified by preestablished markers (FEV

methodsAnalysing data of 1364 patients from the German observational COSYCONET-cohort, disease progression and improvement patterns were assessed for their impact on mortality via Cox hazard regression models. Association of biomarkers and COPD Assessment test items with phenotypes of disease progression or improvement were evaluated using logistic regression and random forest models.

resultsIncreased risk of 18-54-month mortality was linked to decrease in KCO % predicted (7.5% increments) and FEV

conclusionIn a multicentric cohort of COPD, new markers of current disease activity predicted mid-term mortality and could not be anticipated by baseline biomarkers.

Indexed as

Pulmonary Diffusing CapacityPulmonary Disease, Chronic ObstructiveAgedBiomarkersDisease ProgressionFemaleForced Expiratory VolumeGermanyHumansMaleMiddle AgedPrognosisBiomarkerschronic obstructive pulmonary diseaseclinical respiratory medicineCOPDCOSYCONET cohortcytokinehyperinflationinflammationrespiratory function tests

Identifiers

PMID39448064
PMCPMC11788467

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.