Evidence map›Paper›PMID 42266944›Full record

ArticleFrontiers in medicine2026

Resident eosinophils in patients with chronic obstructive pulmonary disease: a pilot study.

Wei Sun, Sijie Liu, Ruonan Xu, Jiawei Jin, Chao Ren, Jing Wang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Wei SunDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Sijie LiuDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Ruonan XuDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Jiawei JinDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Chao RenDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Jing WangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Eosinophilic inflammation is involved in approximately 20% of patients with chronic obstructive pulmonary disease (COPD). Research examining the role of eosinophils in the initiation and progression of COPD has yielded varying conclusions, potentially attributable to the different subtypes of eosinophils. Methods: In this prospective observational study from Jan 2025 and Jun 2025, we included 27 patients with stable COPD and 10 controls. Blood samples were collected for eosinophil isolation, and flow-cytometry analysis was used to determine the subtype of eosinophil: resident eosinophils (rEos: Siglec-8 Results: The absolute number and proportion of rEos was significantly lower in patients with stable COPD compared to healthy controls. The absolute number of rEos (cell/uL) serves as a biomarker for predicting COPD (AUC 0.856; 95% CI 0.736-0.975). A ratio below 1.955 (odds ratio 0.231; 95% CI 0.063-0.841; Conclusion: rEos levels were notably lower in stable COPD patients compared to healthy individuals and were associated with COPD presence. Future research should include larger, diverse groups in multicenter studies to confirm the role of rEos in COPD and conduct basic experiments to investigate the molecular and cellular pathways of eosinophilic phenotypes in COPD patients.

Indexed as

chronic obstructive pulmonary diseasecytokineeosinophilprognosistype 2 inflammation

Identifiers

PMID42266944
PMCPMC13243407

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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.