Evidence map›Paper›PMID 39775185›Full record

ArticleScientific reports2025

Comparison of Gensini score and SYNTAX score for predicting in-stent restenosis in patients with coronary artery disease and drug-eluting stent implantation.

Min-Tao Gai, Shi-Qi Yan, Ming-Yuan Wang, Amanguli Ruze, Ling Zhao, Qiu-Lin Li, Bang-Hao Zhao, An-Xia Deng, Su Hu, Xiao-Ming Gao

Abstract readComparative Study
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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Min-Tao GaiState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, Clinical Medical Research Institute, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, 137 Liyushan Road, Urumqi, 830011, China.
Shi-Qi YanState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, Clinical Medical Research Institute, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, 137 Liyushan Road, Urumqi, 830011, China.
Ming-Yuan WangState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, Clinical Medical Research Institute, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, 137 Liyushan Road, Urumqi, 830011, China.
Amanguli RuzeState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, Clinical Medical Research Institute, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, 137 Liyushan Road, Urumqi, 830011, China.
Ling ZhaoXinjiang Key Laboratory of Medical Animal Model Research, Urumqi, China.
Qiu-Lin LiXinjiang Key Laboratory of Medical Animal Model Research, Urumqi, China.
Bang-Hao ZhaoXinjiang Key Laboratory of Medical Animal Model Research, Urumqi, China.
An-Xia DengXinjiang Key Laboratory of Medical Animal Model Research, Urumqi, China.
Su HuXinjiang Key Laboratory of Medical Animal Model Research, Urumqi, China.
Xiao-Ming GaoState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, Clinical Medical Research Institute, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, 137 Liyushan Road, Urumqi, 830011, China. xiaoming.gao@xjmu.edu.cn.

Funding

Foundation of State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia SKL-HIDCA-2022-7Foundation of State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia SKL-HIDCA-2023-27Key Program of the Natural Science Foundation of Xinjiang Science and Technology Department 2024D01D24National Natural Science Foundation of China 82060073Natural Science Foundation of Xinjiang Uygur Autonomous Region 2022D01C768Youth Science and Technology Elite Talent Program of the Xinjiang Medical University XYD2024Q03
6 · The paper itself

Abstract

The present study was aimed to investigate whether Gensini score or SYNTAX score was a valuable tool to predict in-stent restenosis (ISR) in coronary artery disease (CAD) patients with drug-eluting stents (DES) implantation. A retrospective case-control study and a validating retrospective cohort study were designed. All subjects' information was collected from the First Affiliated Hospital of Xinjiang Medical University. A total of 916 patients were enrolled in the case-control study, and 961 subjects were included in the retrospective-cohort study. In the case-control study, significant differences were observed between the ISR and non-ISR groups regarding baseline characteristics and clinical examinations, including waist circumference, systolic blood pressure, blood glucose levels, ApoA1 levels, left ventricular ejection fraction, lesion vessels, Gensini score, and SYNTAX score (all P < 0.05). All parameters showing significant differences were also associated with ISR (all P < 0.05). However, after adjustment for confounders, both Gensini score [tertile 3 vs. tertile 1 with OR 95%CI: 15.61 (5.37-45.39)] and SYNTAX score [high risk ≥ 33 vs. low risk ≤ 22 with OR 95%CI 12.61 (5.14-30.94)] were still independently associated with ISR. Furthermore, Gensini score [AUC 95%CI: 0.81 (0.78-0.84)] and SYNTAX score [AUC 95%CI: 0.76 (0.72-0.79)] showed a moderate ability to predict ISR. The predictors were further verified in a cohort validation study, which confirmed that the Gensini score was a better predictor for ISR than SYNTAX score, with an AUC and 95%CI of 0.67 (0.60-0.73) and 0.53 (0.46-0.60), respectively. Gensini score showed a higher capability to predict ISR than SYNTAX score in CAD patients with DES implantation. SYNTAX score may also be a useful tool for assessing the risk of ISR in patients with multivessel lesions.

Indexed as

Coronary Artery DiseaseCoronary RestenosisDrug-Eluting StentsAgedCase-Control StudiesCoronary AngiographyFemaleHumansMaleMiddle AgedPercutaneous Coronary InterventionRetrospective StudiesRisk FactorsROC CurveCoronary artery diseaseDrug-eluting stentGensini scoreIn-stent restenosisSYNTAX score

Identifiers

PMID39775185
PMCPMC11706961

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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.