Evidence map›Paper›PMID 38561664›Full record

SynthesisBMC cardiovascular disorders2024

Systemic immune-inflammation index as a novel predictor of major adverse cardiovascular events in patients undergoing percutaneous coronary intervention: a meta-analysis of cohort studies.

Chunyu Zhang, Minghao Li, Lin Liu, Li Deng, Xie Yulei, Yi Zhong, Bin Liao, Lu Yu, Jian Feng

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
9.6field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Chunyu Zhang *Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Stem Cell Immunity and Regeneration Key Laboratory of Luzhou, Luzhou, Sichuan, China.
Minghao Li *Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Stem Cell Immunity and Regeneration Key Laboratory of Luzhou, Luzhou, Sichuan, China.
Lin Liu *Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Stem Cell Immunity and Regeneration Key Laboratory of Luzhou, Luzhou, Sichuan, China.
Li DengDepartment of Rheumatology, The Affifiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Xie YuleiSchool of Rehabilitation, Capital Medical University, Beijing, China.
Yi ZhongDepartment of Cardiology, The Affiliated Hospital of Southwest Medical University, Stem Cell Immunity and Regeneration Key Laboratory of Luzhou, Luzhou, Sichuan, China.
Bin LiaoDepartment of Cardiovascular Surgey, The Afilated Hospital of Southwest Medical University, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Luzhou, Sichuan, China.
Lu YuDepartment of Respiratory Medicine, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu, China. 244560349@qq.com.
Jian FengDepartment of Cardiology, The Affiliated Hospital of Southwest Medical University, Stem Cell Immunity and Regeneration Key Laboratory of Luzhou, Luzhou, Sichuan, China. jerryfeng@swmu.edu.cn.
Affiliated Hospital of Southwest Medical University · CNSouthwest Medical University · CNCapital Medical University · CNSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CN

Funding

China International Medical Foundation 2022-N-01-33 projectGulin County People's Hospital - Affiliated Hospital of Southwest Medical University Science and Technology strategic Cooperation 2022GLXNYDFY13Hejiang People's Hospital - Southwest Medical University Science and Technology Strategic Cooperation Project 2021HJXNYD13Luzhou Municipal People's Government - Southwest Medical University Science and Technology Strategic Cooperation 2021LZXNYD-J33Sichuan Science and Technology Program 2022YFS0610
6 · The paper itself

Abstract

backgroundThe Systemic Immune-Inflammation Index (SII), a novel marker of inflammation based on neutrophil, platelet, and lymphocyte counts, has demonstrated potential prognostic value in patients undergoing percutaneous coronary intervention (PCI). Our aim was to assess the correlation between the SII and major adverse cardiovascular events following percutaneous coronary intervention.

methodsWe searched PubMed, Web of Science, Embase, and The Cochrane Library from inception to November 20, 2023, for cohort studies investigating the association between SII and the occurrence of MACEs after PCI. Statistical analysis was performed using Revman 5.3, with risk ratios (RRs) and 95% confidence intervals (CIs) as relevant parameters.

resultsIn our analysis, we incorporated a total of 8 studies involving 11,117 participants. Our findings revealed that a high SII is independently linked to a increased risk of MACEs in PCI patients (RR: 2.08,95%CI: 1.87-2.32, I

conclusionsElevated SII may serve as a potential predictor for subsequent occurrence of MACEs in patients undergoing PCI.

trial registrationOur protocol was registered in PROSPERO (registration number: CRD42024499676).

Indexed as

InflammationNeutrophilsPercutaneous Coronary InterventionPredictive Value of TestsAgedCoronary Artery DiseaseFemaleHumansLymphocyte CountMaleMiddle AgedPlatelet CountRisk AssessmentRisk FactorsTreatment OutcomeMeta-­analysisPercutaneous coronary interventionPrognosisSystemic immune-inflammation index

Identifiers

PMID38561664
PMCPMC10985984
OpenAlexW4393376333

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.