Evidence map›Paper›PMID 35141291›Full record

ArticleFrontiers in cardiovascular medicine2021

Predictive Value of Gensini Score in the Long-Term Outcomes of Patients With Coronary Artery Disease Who Underwent PCI.

Kai-Yang Wang, Ying-Ying Zheng, Ting-Ting Wu, Yi-Tong Ma, Xiang Xie

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Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
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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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3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kai-Yang WangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ting-Ting WuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yi-Tong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGensini score is an effective tool used to evaluate the severity of coronary artery disease (CAD). Whether the Gensini score has predictive value for the clinical outcomes of patients with CAD after percutaneous coronary intervention (PCI) has not been investigated.

methodsAll patients were from the Clinical Outcomes and Risk Factors of Patients with Coronary Heart Disease after PCI (CORFCHD-PCI), a retrospective cohort study involving 5,672 patients with CAD who underwent PCI, such as 2,110 patients with diabetes and 3,562 patients without diabetes, from January 2008 to December 2017. Patients were divided into three groups according to the tertile of Gensini score: first tertile (Gensini score <11 points), second tertile (Gensini score 11-38 points), and third tertile (Gensini score >38 points). The median follow-up time was 31.0 (interquartile range, IQR: 30.0) months. Compared the differences in clinical outcomes between the groups. Multivariate Cox regression analyses were performed to assess the predictive value of the Gensini score for outcomes over up to 10 years of follow-up.

resultsIn the population without diabetes, there were significant differences between the three groups in the incidences of all-cause mortality (ACM,

conclusionThe present study indicated that the Gensini score is an independent predictor of long-term adverse outcomes in patients with CAD who underwent PCI, and it has more predictive value in the population with diabetes.

Indexed as

clinical outcomescoronary artery diseasediabetic populationGensini scorepercutaneous coronary intervention

Identifiers

PMID35141291
PMCPMC8818732

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