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Risk factors of in-stent restenosis in patients with diabetes mellitus after percutaneous coronary intervention: A protocol for systematic review and meta-analysis

BACKGROUND: Percutaneous coronary intervention (PCI) has become one of the effective methods for the treatment of coronary heart disease (CHD). However, it is easy to have in-stent restenosis (ISR), even cardiovascular events after PCI, which affects the therapeutic effects. The incidence of ISR in...

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Detalles Bibliográficos
Autores principales: Li, Suiping, Luo, Chao, Chen, Haimei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051985/
https://www.ncbi.nlm.nih.gov/pubmed/33847656
http://dx.doi.org/10.1097/MD.0000000000025484
Descripción
Sumario:BACKGROUND: Percutaneous coronary intervention (PCI) has become one of the effective methods for the treatment of coronary heart disease (CHD). However, it is easy to have in-stent restenosis (ISR), even cardiovascular events after PCI, which affects the therapeutic effects. The incidence of ISR in diabetes mellitus (DM) patients increased by 2 to 4 times. Early identification of the risk factors of ISR in DM patients after PCI may help clinical staff to prevent and intervene as soon as possible, so it is very important to improve the clinical outcomes of DM patients. Although scholars at home and abroad have studied and summarized the risk factors of ISR in DM patients after PCI, the conclusions are different. Therefore, in this study, meta-analysis was used to summarize the risk factors of ISR in DM patients after PCI, and to explore the characteristics of high-risk groups of ISR, thus providing reference for early identification and prevention of ISR. METHODS: We will search related literature from PubMed, Embase, Cochrane Library, Web of Science, China Biology Medicine Database, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang Database. Eligible studies will be screened based on inclusion criteria. Meanwhile, data extraction, risk of bias assessment, publication bias assessment, subgroup analysis, and quality assessment will be performed. Review Manager Version 5.3 software will be applied for data analysis. Each process is independently conducted by 2 researchers. If there is any objection, it will be submitted to a third researcher for resolution. RESULTS: We will disseminate the findings of this systematic review and meta-analysis via publications in peer-reviewed journals. CONCLUSIONS: The results of this analysis can be used to generate a risk prediction model and provide an intervention strategy for the occurrence of ISR in DM patients after PCI. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/WC87Y.