目的系统评价莫诺拉韦治疗新型冠状病毒感染(COVID-19)的疗效与安全性。方法计算机检索CNKI、VIP、WanFang Data、PubMed、Web of Science、Cochrane Library和Epistemonikos COVID-19 L OVE数据库,搜集莫诺拉韦治疗COVID-19的随机对照...
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目的系统评价莫诺拉韦治疗新型冠状病毒感染(COVID-19)的疗效与安全性。方法计算机检索CNKI、VIP、WanFang Data、PubMed、Web of Science、Cochrane Library和Epistemonikos COVID-19 L OVE数据库,搜集莫诺拉韦治疗COVID-19的随机对照试验(RCT),检索时限均从建库至2023年7月。由2名研究者独立筛选文献、提取资料并评价纳入研究的偏倚风险后,采用RevMan 5.4软件进行Meta分析。结果共纳入9个RCT,包括30675例患者。Meta分析结果显示,两组患者的28~29天住院率、28~29天死亡率、14~15天PCR检测结果转阴率和不良事件发生率的差异均无统计学意义(P>0.05)。莫诺拉韦组显著增加4类系统性器官疾病的不良事件发生率。结论当前证据显示,莫诺拉韦的安全性和对伴有进展为重症高风险COVID-19患者的益处尚不明确。受纳入研究数量和质量的限制,上述结论尚待更多高质量研究予以验证。
急性缺血性脑卒中(AIS)是一种严重影响人类健康相关的疾病,其拥有高发病率和高死亡率,并与吸烟、高脂饮食等不良生活习惯相关,人工智能(AI)比如机器学习(ML)和深度学习(DL),可以实现从临床及辅助检查尤其是成像学检查中提取特征数据,经过算法处理,得出可信结果。近几年AI更多地应用于医院系统的工作中,并成为临床工作及科研项目有力的帮手。本文全面综述了AI预测急性缺血性脑卒中(AIS)患者在经过血管内治疗,尤其是经过血栓切除术治疗后的预后情况,从而实现精准有效的临床管理和护理决策。此外,本文还批判性地评估了现有研究的局限性,并且指出了新的研究方向,最终目标是提高AIS患者的生存率。Acute ischemic stroke (AIS) is a serious human health-related disease that is characterized by elevated morbidity and mortality rates. It is often linked to detrimental lifestyle behaviors, including smoking and high-fat dietary intake. The advent of artificial intelligence (AI), encompassing machine learning (ML) and deep learning (DL) methodologies, facilitates the extraction and analysis of feature data derived from clinical and ancillary assessments, particularly imaging studies. These data are processed through sophisticated algorithms to yield reliable outcomes. In recent years, AI has been increasingly integrated into hospital systems, emerging as a formidable tool in both clinical practice and research initiatives. This paper presents a comprehensive analysis of AI applications in predicting the prognosis of acute ischemic stroke (AIS) patients following endovascular interventions, with a particular focus on thrombectomy procedures. The objective is to enhance the accuracy and efficacy of clinical management and care decision-making processes. Furthermore, the study critically examines the limitations inherent in current research and identifies prospective avenues for future investigation, ultimately aiming to improve the survival outcomes of AIS patients.
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