Evidence map›Paper›PMID 39104954›Full record

ArticleERJ open research2024

Symptom burden and its associations with clinical characteristics in patients with COPD: a clustering approach.

Sarah Houben-Wilke, Qichen Deng, Daisy J A Janssen, Frits M E Franssen, Martijn A Spruit

Abstract read
In one paragraph

Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. How People with COPD Perceive and Communicate Exacerbations: A Multicountry Survey Study.International journal of chronic obstructive pulmonary disease · 2025
    Article
  8. Article
  9. 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

5 authors.

Sarah Houben-WilkeDepartment of Research and Development, Ciro, Horn, The Netherlands.ORCID https://orcid.org/0000-0001-6214-0365
Qichen DengDepartment of Research and Development, Ciro, Horn, The Netherlands.ORCID https://orcid.org/0000-0003-3835-9142
Daisy J A JanssenDepartment of Research and Development, Ciro, Horn, The Netherlands.ORCID https://orcid.org/0000-0002-1827-9869
Frits M E FranssenDepartment of Research and Development, Ciro, Horn, The Netherlands.ORCID https://orcid.org/0000-0002-1633-6356
Martijn A SpruitDepartment of Research and Development, Ciro, Horn, The Netherlands.ORCID https://orcid.org/0000-0003-3822-7430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Symptom burden in patients with COPD is often under-recognised. In this cross-sectional analysis, we aimed to study the severity of a variety of (non-)respiratory symptoms in patients with and without COPD and to explore the associations between clusters based on symptom severity and other clinical characteristics. Methods: Characteristics were assessed in 538 patients with COPD from primary, secondary and tertiary care and 116 non-COPD participants. The severity of 20 symptoms was measured using a visual analogue scale (VAS), ranging from 0 mm (no symptom) to 100 mm (maximum severity). K-means cluster analysis was applied to symptom severity in the patient sample only. Results: People with COPD were comparable with non-COPD participants in terms of gender (58% Conclusions: People with COPD report a high burden of respiratory as well as non-respiratory symptoms. Cluster analysis demonstrated a co-occurrence of different levels of symptom severity, highlighting the heterogeneity of symptoms experience. Identifying clusters of patients with shared symptom experiences will help us to understand the impact of the disease and define integrated, multidimensional treatment strategies.

Identifiers

PMID39104954
PMCPMC11299006

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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.