Evidence map›Paper›PMID 40452073›Full record

Observational studyBMC cardiovascular disorders2025

Predicting the prognosis of diabetic patients undergoing percutaneous coronary intervention: the value of the Naples prognostic score in a real-world clinical study.

Mengzhu Zhou, Xue Zhang, Xiaohua Guo, Junying Duan, Haifeng Zhang, Xing Liu, Tong Liu, Kangyin Chen, Changle Liu

Abstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mengzhu Zhou *Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Xue Zhang *Department of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Xiaohua GuoDepartment of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Junying DuanDepartment of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Haifeng ZhangDepartment of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Xing LiuDepartment of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Tong LiuDepartment of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Kangyin ChenDepartment of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China. chenkangyin@vip.126.com.
Changle LiuDepartment of Cardiology, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, 300211, China. lcl1979_2001@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Naples prognostic score (NPS) evaluates the body's systemic inflammatory and metabolic status. However, its relevance for patients with diabetes mellitus (DM) undergoing percutaneous coronary intervention (PCI) is uncertain.

methodsThis study involved 1,485 diabetes patients following PCI from 2019 to 2023. Participants were divided into two groups based on their NPS. The primary endpoint was major adverse cardiovascular events (MACE). Secondary endpoints included components of MACE [all-cause mortality, recurrent myocardial infarction (MI), target vessel revascularization (TVR)], as well as cardiac death and stroke.

resultsThe novel NPS model demonstrated greater predictive capacity for cardiac death in comparison to the conventional diabetes risk score (AUC: 0.711 vs. 0.560, ∆AUC: +0.151, P = 0.044).The NPS model exhibited comparable predictive power to the GRACE score with respect to MACE events, with the difference proving to be statistically non-significant (∆AUC: -0.002, P = 0.940). Kaplan-Meier analysis revealed higher incidences of MACE (8.0% vs. 3.6%, P < 0.001), all-cause mortality (4.1% vs. 1.0%, P < 0.001), cardiac death (2.9% vs. 0.4%, P < 0.001), and stroke (4.1% vs. 2.2%, P = 0.035) in the high-risk NPS group compared to the low-risk group. Multivariate analysis identified high-risk NPS as an independent predictor of MACE (HR: 2.34; 95% CI: 1.50-3.67; P < 0.001), all-cause mortality (HR: 4.20; 95% CI: 1.95-9.04; P < 0.001), and cardiac death (HR: 6.68; 95% CI: 2.25-19.85; P < 0.001). These associations remained significant after adjusting for multiple risk factors.

conclusionHigh-risk NPS correlates with a higher incidence of cardiovascular events in diabetic patients following PCI. Additionally, NPS is a more reliable predictor of survival outcomes than other inflammatory and metabolic indicators. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Coronary Artery DiseaseDecision Support TechniquesDiabetes MellitusPercutaneous Coronary InterventionAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRecurrenceRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeCardiovascular eventsDiabetes mellitusNaples prognostic scorePercutaneous coronary interventionPrognosis

Identifiers

PMID40452073
PMCPMC12128268

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.