Evidence map›Paper›PMID 41091295›Full record

ArticleEndocrine2025

The relationship between blood eosinophil count and cardiovascular outcomes in prediabetes and diabetes patients with acute coronary syndrome: insights from a large Asian cohort analysis.

Xunxun Feng, Yang Liu, Haokai Qin, Sen Zhao, Jiaqi Yang, Shiwei Yang, Zhiming Zhou, Yuyang Liu, Zhijian Wang, Dongmei Shi and 2 more

Abstract read
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In one paragraph

Article in Endocrine, 2025. 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

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

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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

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

12 authors.

Xunxun Feng *Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yang Liu *Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Haokai QinBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Sen ZhaoBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jiaqi YangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Shiwei YangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhiming ZhouBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yuyang LiuBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhijian WangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Dongmei ShiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yujie Zhou *Beijing Anzhen Hospital, Capital Medical University, Beijing, China. azzyj12@163.com.
Qianyun Guo *Beijing Anzhen Hospital, Capital Medical University, Beijing, China. gqydyx3000@163.com.

Funding

Beijing Hospitals Authority Youth Programme QML20210601Beijing Municipal Administration of Hospitals' Mission plan SML20180601Beijing Municipal Natural Science Foundation 7202041Capital's Funds for Health Improvement and Research CFH 2020-2-2063China Scholarship Council (CSC) 202308110233National Key Research and Development Program of ChinaNational Key Research and Development Program of China 2022YFC3602500National Natural Science Foundation of China 82300368
6 · The paper itself

Abstract

backgroundThis study was designed to evaluate the impact of blood eosinophil count (BEC) on adverse cardiovascular events (CVE) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI), across varying different glucose metabolism statuses.

methodPatients were classified into three groups based on glucose metabolism status (diabetes mellitus [DM], prediabetes mellitus [preDM], and normal glucose regulation [NGR]). They were further divided into quintiles (Q1-Q5) based on BEC levels. The primary CVE endpoint comprised cardiac death, nonfatal stroke or myocardial infarction, and target vessel revascularization, monitored over a five-year follow-up period.

resultsDuring the follow-up, a total of 866 CVE were recorded. Patients in Q1 and Q5 demonstrated significantly higher CVE risk within the preDM and DM groups. Kaplan-Meier survival analysis revealed that Q3 exhibited the lowest incidence of CVE (p < 0.001). Incorporating BEC into the Cox regression model improved the C-statistics for CVE prediction in both preDM and DM groups. Restricted cubic spline analysis indicated a U-shaped relationship between BEC and CVE risk, with an identified inflection point at 0.11.

conclusionThese findings provided the first clinical evidence that BEC levels were associated with CVE risk in ACS patients with preDM or DM undergoing PCI.

Indexed as

Acute Coronary SyndromeDiabetes MellitusEosinophilsPrediabetic StateAgedCohort StudiesFemaleHumansLeukocyte CountMaleMiddle AgedPercutaneous Coronary InterventionRisk FactorsAcute coronary syndromeBlood eosinophil countDiabetes mellitusPercutaneous coronary interventionPrediabetes

Identifiers

PMID41091295

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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.