Evidence map›Paper›PMID 35576775›Full record

ArticleRespiratory medicine2022

Depressive and anxiety symptoms in patients with COPD: A network analysis.

Abebaw M Yohannes, Martino Belvederi Murri, Nicola A Hanania, Elizabeth A Regan, Anand Iyer, Surya P Bhatt, Victor Kim, Gregory L Kinney, Robert A Wise, Michelle N Eakin and 2 more

Abstract read
In one paragraph

Article in Respiratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Trial
  2. Observational
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  11. Depression and Anxiety Among Patients with COPD: A Nationwide Study from Lithuania.International journal of chronic obstructive pulmonary disease · 2026
    Observational
  12. Article
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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

12 authors.

Abebaw M YohannesDepartment of Physical Therapy, Azusa Pacific University, Azusa, CA, USA. Electronic address: ayohannes@apu.edu.
Martino Belvederi MurriInstitute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.
Nicola A HananiaSection of Pulmonary and Critical Care Medicine, Baylor College of Medicine, Houston, TX, USA.
Elizabeth A ReganDepartment of Medicine, National Jewish Health, Denver, CO, USA.
Anand IyerDivision of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, AL, USA; School of Nursing, University of Alabama, Birmingham, AL, USA; Center for Palliative and Supportive Care, Division of Gerontology, Geriatrics, and Palliative Care, University of Alabama at Birmingham, Birmingham, AL, USA.
Surya P BhattDivision of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, AL, USA.
Victor KimDepartment of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.
Gregory L KinneyDepartment of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
Robert A WiseDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University of School Medicine, Baltimore, USA.
Michelle N EakinDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University of School Medicine, Baltimore, USA.
Karin F HothDepartment of Psychiatry and Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA.
COPDGene Investigators

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

backgroundIndividuals with Chronic Obstructive Pulmonary Disease (COPD) often develop anxiety and depression, which worsen illness management and prognosis. Physical and psychological symptoms, contextual and illness-related factors display complex reciprocal interactions, which give rise to heterogeneous presentations. Examining the patterns of association between specific physical and psychological symptoms in patients with COPD may help to focus on the precision of the patient-centred care. RESEARCH QUESTION: We used network analyses to examine the links between symptoms of COPD, depression and anxiety.

methodsData from 1587 individuals with COPD from the COPDGene study were included. We estimated a Bayesian Gaussian Graphical Model to highlight the unique associations between symptoms of COPD (assessed with the COPD Assessment Test), depression and anxiety (assessed with the Hospital Anxiety and Depression Scale (HADS), while examining the role of sociodemographic characteristics, lung function tests, and health status.

resultsUnique Variable Analysis reduced 14 HADS items to Tension/worry (chronic anxiety), Fear/panic (acute anxiety), Restlessness, Anhedonia, Sadness and Slowing. In network analyses, chest-tightness was related to acute anxiety, while cough and weakness were connected with core depressive symptoms (sadness and lack of pleasure). Chronic anxiety was linked with acute anxiety and depressive symptoms. Findings were confirmed accounting for the role of confounders, including lung function, sex, ethnicity and lifestyle factors. A simulation based on our model yielded distinct predictions about anxiety and depression in two participants with similar COPD severity, but different symptom profiles.

conclusionNetwork analyses highlighted specific associations between symptoms of COPD, depression and anxiety. Accounting for symptom-level interactions may help to promote personalized treatment approaches.

Indexed as

DepressionPulmonary Disease, Chronic ObstructiveAnxietyBayes TheoremHealth StatusHumansAnxietyCOPDDepressionDyspnoeaNetwork analysisPanicWorries

Identifiers

PMID35576775
PMCPMC10698756

What OpenQuestion holds

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Registered trials

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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.