Evidence map›Paper›PMID 39361621›Full record

SynthesisPloS one2024

High blood eosinophils predict the risk of COPD exacerbation: A systematic review and meta-analysis.

Fangying Chen, Mei Yang, Hao Wang, Lian Liu, Yongchun Shen, Lei Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Predictors of Acute Exacerbations in COPD: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2026
    Pooled it
  3. Trial
  4. Article
  5. Review
  6. Observational
  7. Review
  8. Article
  9. Severe COPD Exacerbators Requiring Multiple ICU Admissions Over Time: Insights of a French Cohort.International journal of chronic obstructive pulmonary disease · 2026
    Article
  10. Article
  11. Predicting COPD Exacerbations: From Data Mining to Clinical Decision-Making.International journal of chronic obstructive pulmonary disease · 2026
    Article
  12. Review
  13. Article
  14. Article
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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

6 authors.

Fangying ChenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Mei YangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hao WangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0001-7662-7115
Lian LiuLaboratory of Pulmonary Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yongchun ShenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lei ChenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-3476-0035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between blood eosinophils and COPD exacerbation has been controversial. This study aims to investigate whether high blood eosinophils predict the risk of COPD exacerbation across different thresholds and subgroups.

methodsPubMed, Embase and Web of science were searched for randomized controlled trial (RCT) and observational studies regarding the relationship between blood eosinophils and COPD exacerbation. Pooled risk ratio (RR) for COPD exacerbation was calculated using the Mantel-Haenszel method with a random-effects model.

resultsA total of 21 studies (1 RCT and 20 observational studies) with 79868 participants were included. Thresholds of high blood eosinophils including absolute counts (200, 300 and 400 cell/μL) and percentages (2%, 3% and 4%) were analyzed respectively. Pooled analyses suggested that high blood eosinophils were significantly associated with increased risk of COPD exacerbation when using the thresholds of 300 cells/μL (RR 1.21, 95%CI 1.12-1.30, P <0.001, 16 studies), 400 cells/μL (RR 1.79, 95%CI 1.41-2.28, P <0.001, 3 studies), 2% (RR 1.26, 95%CI 1.02-1.55, P = 0.030, 10 studies) and 4% (RR 1.44, 95%CI 1.05-1.96, P = 0.022, 4 studies), but not 200 cells/μL and 3% (P>0.05). Moreover, high blood eosinophils contributed to moderate-severe exacerbation of COPD by the cutoffs of 300 cells/μL (RR 1.30, 95%CI 1.16-1.45, P<0.001, 11 studies) and 2% (RR 1.33, 95%CI 1.02-1.76, P = 0.037, 8 studies). In subgroup analyses, the pooled results further showed a significant association between high blood eosinophils (especially over 300 cells/μL) and risk of COPD exacerbation among patients from Europe and Asia, and whether with stable or exacerbation phase at baseline, and regardless of the follow-up time (≤ or > 1year).

conclusionsThis study demonstrates that high blood eosinophils (over 300 cells/μL or 2%) could predict the risk of moderate-severe exacerbation of COPD in specific subgroups. However, large sample-sized, prospective, and well-designed studies are required to validate the present findings.

Indexed as

Disease ProgressionEosinophilsPulmonary Disease, Chronic ObstructiveHumansLeukocyte CountRandomized Controlled Trials as TopicRisk Factors

Identifiers

PMID39361621
PMCPMC11449345

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Registered trials

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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.