Predictive Value Of Inflammatory Factors On Coronary Restenosis After Percutaneous Coronary Intervention In Patients With Coronary Heart Disease A Protocol For Systematic Review And Meta-Analysis

MEDICINE(2021)

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摘要
Background Evidence reveals that inflammatory factors can predict coronary restenosis in patients suffering from coronary heart disease (CHD) after percutaneous coronary intervention (PCI). Perhaps, inflammatory factors are promising biomarkers for the diagnosis of coronary restenosis after PCI. However, the accuracy of inflammatory factors has not been systematically evaluated. Therefore, it is necessary to perform a meta-analysis to certify the diagnostic values of inflammatory factors on coronary restenosis after PCI. Methods China National Knowledge Infrastructure (CNKI), Wanfang, VIP, China Biology Medicine disc (CBM), PubMed, EMBASE, Cochrane Library and Web of Science were searched for relevant studies to explore the potential diagnostic values of inflammatory factors on coronary restenosis after PCI from inception to January 2021. All data were extracted by 2 experienced researchers independently. The risk of bias about the meta-analysis was confirmed by the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The data extracted were synthesized and heterogeneity was investigated as well. All of the above statistical analyses were carried out with Stata 16.0. Results The results of this meta-analysis will be submitted to a peer-reviewed journal for publication. Conclusion This study clarified confusions about the specificity and sensitivity of inflammatory factors on coronary restenosis after PCI, thus further guiding their promotion and application. Ethics and dissemination Ethical approval will not be necessary since this systematic review and meta-analysis will not contain any private information of participants or violate their human rights.
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关键词
biomarker, coronary heart disease, coronary restenosis, diagnosis, inflammatory factors, meta-analysis, percutaneous coronary intervention
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