Evidence map›Paper›PMID 41152452›Full record

ArticleScientific reports2025

Aggregate index of systemic inflammation as a new prognostic marker in patients with coronary artery disease undergoing PCI.

Tian-Ding Liu, Shuai Sun, Ying-Ying Zheng, Jin-Ying Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Tian-Ding LiuDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Road, Zhengzhou, 450052, China.
Shuai SunDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Ying-Ying ZhengDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, Liyushan Road, Urumqi, 830054, China. zhengying527@163.com.
Jin-Ying ZhangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1, Jianshe Road, Zhengzhou, 450052, China. jyzhang@zzu.edu.cn.

Funding

National Natural Science Foundation of China 82000238Natural Science Foundation of Xinjiang Uygur Autonomous Region, the Outstanding Youth Fund 2022D01E70
6 · The paper itself

Abstract

This article aim is to assess the association between the aggregate index of systemic inflammation (AISI) and long-term outcomes of coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI). 3482 patients are divided into the higher group (AISI ≥ 366) and the lower group (AISI < 366) according to cut-off value of AISI. The mean follow-up time was 37.59 ± 22.24 months. The primary endpoint includes all-cause mortality (ACM) and cardiac mortality (CM) and secondary endpoints include major adverse cardiovascular events (MACEs) and major adverse cardiovascular and cerebrovascular events (MACCEs). The results show that there are statistically significant differences in primary endpoint incidence. The incidence of ACM is 6.6% in higher group and 2.6% in lower group (P < 0.001) while the incidence of CM is 4.1% in higher group and 1.7% in lower group (P < 0.001). Cox regression analysis shows that the risk of ACM was increased to 2.298 times (HR = 2.298, 95% CI: 1.595-3.310, P < 0.001) and the risk of CM was increased to 2.160 times (HR = 2.160, 95% CI: 1.358-3.436, P = 0.001) in the higher group. Therefore, AISI is an independent predictor for CAD patients after PCI.

Indexed as

Coronary Artery DiseaseInflammationPercutaneous Coronary InterventionAgedBiomarkersFemaleHumansIncidenceMaleMiddle AgedPrognosisRisk FactorsBiomarkersAggregate index of systemic inflammationCoronary artery diseaseLong-term outcomeMortalityPercutaneous coronary intervention

Identifiers

PMID41152452
PMCPMC12568922

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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.