Evidence map›Paper›PMID 40551798›Full record

ArticleERJ open research2025

Clonal haematopoiesis of indeterminate potential: a risk factor for future exacerbation in patients with COPD.

Jung-Kyu Lee, Hongyul An, Youngil Koh, Chang-Hoon Lee

Abstract read
In one paragraph

Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Hallmarks of the ageing lung: 10 years later.The European respiratory journal · 2026
    Review
  2. 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

4 authors.

Jung-Kyu LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-5060-7255
Hongyul AnGenome Opinion Incorporation, Seoul, Republic of Korea.
Youngil KohGenome Opinion Incorporation, Seoul, Republic of Korea.
Chang-Hoon LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are limited data regarding the clinical significance of clonal haematopoiesis of indeterminate potential (CHIP) in patients with COPD. We aimed to evaluate whether CHIP could serve as a biomarker for the long-term prognosis of patients with COPD. Methods: Next-generation sequencing was used to detect CHIP in peripheral blood mononuclear cell samples. Participants with COPD were enrolled in a prospective observational cohort between January 2013 and December 2023. We investigated the association of CHIP status with the risk of subsequent acute exacerbation and longitudinal changes in lung function, by using negative binomial regression and linear mixed regression models, respectively. Results: Among 125 patients with COPD, the CHIP-positive group was 32 (25.6%). Higher smoking intensity and COPD Assessment Test score were significantly associated with increased risk of positive CHIP status, especially in current smokers. Positive CHIP of specific genes was significantly associated with a higher risk of subsequent mild and total acute exacerbation. Positive CHIP of ASXL transcriptional regulator 1 had a lower risk of subsequent total acute exacerbation (adjusted OR 0.19, 95% CI 0.04-0.95). CHIP status did not show a statistically significant association with longitudinal changes in lung function. Conclusions: In patients with COPD, CHIP positivity was significantly associated with an increased risk of subsequent acute exacerbations, but not with longitudinal changes in lung function.

Identifiers

PMID40551798
PMCPMC12183748

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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.