Evidence map›Paper›PMID 41315962›Full record

ArticleBMC cardiovascular disorders2025

The relationship between Gensini score and rates of 30-day mortality in acute coronary syndrome patients in China.

Yi Zhang, Rong Luo, Xiaochen Sun, Jiasheng Cai, Mohammed Ahmed Al-Kaif, Zhonghua Wang, Chunlei Li, Chuntao Wu, Zilong Wang, Zhuqin Li and 1 more

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yi Zhang *Departments of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 1158 Park East Road, Shanghai, 201799, China.
Rong Luo *Departments of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 1158 Park East Road, Shanghai, 201799, China.
Xiaochen Sun *Departments of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 1158 Park East Road, Shanghai, 201799, China.
Jiasheng CaiDepartment of Cardiology, Huadong Hospiatal affiliated to Fudan University, 221 Yanan West Road, Shanghai, 200040, China.
Mohammed Ahmed Al-KaifDepartments of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 1158 Park East Road, Shanghai, 201799, China.
Zhonghua WangDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Harbin, 150001, China.
Chunlei LiDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Harbin, 150001, China.
Chuntao WuDepartments of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 1158 Park East Road, Shanghai, 201799, China.
Zilong WangDepartments of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 1158 Park East Road, Shanghai, 201799, China.
Zhuqin LiDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Harbin, 150001, China. 1980365636@qq.com.
Haibo LiuDepartments of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 1158 Park East Road, Shanghai, 201799, China. haiboliu13@fudan.edu.cn.

Funding

Qingpu District science and technology development fund project QKY2022-04Shanghai Municipal Health Commission Leading Academic Discipline Project 2022XD019
6 · The paper itself

Abstract

backgroundFew studies validated the association between Gensini scores and mortality among acute coronary syndrome (ACS) patients. Therefore, we intend to evaluate the association between the severity of CAD assessed by the Gensini score and the 30-day all-cause mortality in Chinese patients with ACS.

methodsThis study evaluated 2,742 patients diagnosed with ACS who underwent hospitalization and coronary angiography between August 2014 and November 2019 from 2 centers in China. The severity of coronary artery disease (CAD) was categorized into tertiles based on Gensini scores for each lesion: T1 (< 42), T2 (42 ≤ score < 76), and T3 (score ≥ 76). The correlation between Gensini scores and 30-day mortality was assessed using Cox regression analyses and Kaplan-Meier curves.

resultsDuring the 30-day follow-up period, 2.7% of the patients included in the study occurred mortality. Significant differences were observed in tertile Gensini scores when comparing patients who died (T1: 0.8%; T2: 2.0%; T3: 5.2%, P < 0.001). When treating Gensini scores as a continuous variable and adjusting for potential confounding factors, a positive correlation was found between Gensini scores and all-cause mortality (HR 1.012, 95% CI 1.006–1.017). Compared to individuals in the T1 group, those in higher Gensini tertiles exhibited significant increases in all-cause mortality (T2: HR 1.715, 95% CI: 0.704–4.181; T3: HR 2.376, 95% CI: 1.004–5.623; P for trend = 0.039). Subgroup analyses further demonstrated the significant association between higher Gensini scores and increased all-cause mortality was consistently observed across nearly all subgroups.

conclusionThe present study demonstrated that higher Gensini scores were positively associated with 30-day all-cause mortality among patients with ACS, underscoring their utility as a simple and practical tool for early risk stratification. Further research is warranted to validate these findings and to explore interventions guided by Gensini scores to improve outcomes in this population.

Indexed as

Acute Coronary SyndromeCoronary AngiographyDecision Support TechniquesAgedCause of DeathChinaFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexAcute coronary syndromeClinical outcomesCoronary artery diseaseGensini scoreMortality

Identifiers

PMID41315962
PMCPMC12764064

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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.