Evidence map›Paper›PMID 38253034›Full record

ArticleRespiration; international review of thoracic diseases2024

Blood Eosinophil Count and Its Determinants in a Chinese Population-Based Cohort.

Mei Yang, Yao Lv, Shijie Tang, Dan Xu, Diandian Li, Zenglin Liao, Xiaoou Li, Lei Chen

Open access · greenAbstract read
In one paragraph

Article in Respiration; international review of thoracic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Normal Blood Eosinophil Counts in Humans.Respiration; international review of thoracic diseases · 2024
    Article
  6. 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

8 authors at 2 institutions in 1 country.

Mei YangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yao LvDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Shijie TangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Dan XuLab of Pulmonary Diseases, West China Hospital, Sichuan University, Chengdu, China.
Diandian LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Zenglin LiaoDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Xiaoou LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Lei ChenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

National Key Research and Development Program of China 2016YFC0901100
6 · The paper itself

Abstract

introductionBlood eosinophil count has been shown markedly variable across different populations. However, its distribution in Chinese general population remains unclear. We aimed to investigate blood eosinophil count and its determinants in a Chinese general population.

methodsIn this population-based study, general citizens of Sichuan province in China were extracted from the China Pulmonary Health study. Data on demographics, personal and family history, living condition, lifestyle, spirometry, and complete blood count test were obtained and analyzed. A stepwise multivariate binary logistic regression analysis was performed to identify determinants of high blood eosinophils (>75th percentile).

resultsA total of 3,310 participants were included, with a mean age (standard deviation) of 47.0 (15.6) years. In total population, the median blood eosinophil count was 110.0 (interquartile range [IQR]: 67.2-192.9) cells/μL, lower than that in smokers (133.4 cells/μL, IQR: 79.3-228.4) and patients with asthma (140.7 cells/μL, IQR: 79.6-218.2) or post-bronchodilator airflow limitation (141.5 cells/μL, IQR: 82.6-230.1), with a right-skewed distribution. Multivariate analyses revealed that oldness (aged ≥60 years) (odds ratio [OR]: 1.66, 95% confidence interval [CI]: 1.11-2.48), smoking ≥20 pack-years (OR: 1.90, 95% CI: 1.20-3.00), raising a dog/cat (OR: 1.72, 95% CI: 1.17-2.52), and occupational exposure to dust, allergen, and harmful gas (OR: 1.58, 95% CI: 1.15-2.15) were significantly associated with high blood eosinophils.

conclusionThis study identifies a median blood eosinophil count of 110.0 cells/μL and determinants of high blood eosinophils in a Chinese general population, including oldness (aged ≥60 years), smoking ≥20 pack-years, raising a dog/cat, and occupational exposure to dust, allergen, and harmful gas.

Indexed as

AsthmaEosinophiliaPulmonary Disease, Chronic ObstructiveAdultAgedAllergensDustEosinophilsHumansLeukocyte CountMiddle AgedAllergensDustBlood eosinophilChinese general populationChronic obstructive pulmonary diseaseEpidemiologySmoking

Identifiers

PMID38253034
PMCPMC10871690
OpenAlexW4391090860

What OpenQuestion holds

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Registered trials

None linked

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.