Evidence map›Paper›PMID 42067210›Full record

ArticleThe European respiratory journal2026

Distribution of blood eosinophil counts in the Chinese general population.

Peiji Yao, Lan Yang, Dan Liu, Dongyu He, Lei Li, Yifei Lin, Jin Huang, Weimin Li

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PubMed Full text at PMC Publisher
In one paragraph

Article in The European respiratory journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Peiji YaoDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, China.ORCID https://orcid.org/0009-0005-1833-1822
Lan YangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, China.
Dan LiuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, China.
Dongyu HeDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, China.
Lei LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, China.
Yifei LinDepartment of Urology, Laboratory of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-3184-9213
Jin HuangDepartment of Urology, Laboratory of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
Weimin LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, China weimi003@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent clinical assessments of blood eosinophil (EOS) count often overlook demographic variability, particularly in Asian populations, where large-scale data remain scarce. We aimed to define demographic-specific distributions of EOS counts and identify factors associated with elevated levels in the general Chinese population.

methodsUsing a large-scale Chinese health-check population dataset comprising over 680 000 participants (2010-2023), we conducted a cross-sectional study to characterise overall and demographic-stratified distributions of blood EOS counts and construct age- and sex-specific percentile curves. We then applied multivariable regression to quantify associations between EOS counts and selected respiratory and systemic conditions, adjusting for key demographic and clinical covariates. Robustness was evaluated through sensitivity analyses.

resultsEOS counts showed a right-skewed distribution (median (interquartile range) 100 (60-170) cells·μL

conclusionsIn this large Chinese health-check population, blood EOS counts showed substantial demographic heterogeneity. These findings support age- and sex-stratified reference ranges and may inform more context-specific thresholds for eosinophilia in clinical practice.

Indexed as

EosinophilsLeukocyte CountAdolescentAdultAgedAged, 80 and overAge FactorsAsthmaBody Mass IndexChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle Aged

Identifiers

PMID42067210
PMCPMC13550824

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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.