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痴呆症患者家庭照顾者实施在线教育项目的挑战:整合性综述
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作者 文雨婷 邢钰蓉 +2 位作者 丁亚萍 许文浍 汪晓晓 《International Journal of Nursing Sciences》 CSCD 2023年第1期121-128,共8页
目的旨在关注在线教育项目的组成部分和设计,了解为痴呆症患者的家庭照顾者进行在线教育项目的挑战。方法采用Whittemore&Knafl五步法对7个电子数据库进行系统检索。采用混合方法评价工具(Mixed Methods Appraisal Tool)对纳入研究... 目的旨在关注在线教育项目的组成部分和设计,了解为痴呆症患者的家庭照顾者进行在线教育项目的挑战。方法采用Whittemore&Knafl五步法对7个电子数据库进行系统检索。采用混合方法评价工具(Mixed Methods Appraisal Tool)对纳入研究质量进行评价。结果共检索到25256篇文献,最终纳入49项研究。痴呆家庭照顾者在线教育项目在实施过程中的挑战主要包括内容组成(无用或重复的信息,痴呆症相关知识不全面,文化或性别不同对获取内容的影响)、传递形式(互动有限,时间安排受限,对传统信息传递形式的偏好)以及执行(项目技术问题,使用者电子健康素养,保真度评估)3类问题。结论深入了解痴呆症患者家庭照顾者在线教育项目的挑战有助于指导未来的研究者构建最佳在线教育项目。融入文化特色、考虑结构化构建策略、优化互动设计以及增加保真度评估,这些措施可能有助于在线教育项目的实施。 展开更多
关键词 痴呆症 家庭照顾者 在线教育 综述 基于互联网的干预
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5-Hydroxymethylome in Circulating Cell-free DNA as A Potential Biomarker for Non-small-cell Lung Cancer 被引量:7
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作者 Ji Zhang Xiao Han +9 位作者 Chunchun Gao yurong xing Zheng Qi Ruijuan Liu Yueqin Wang Xiaojian Zhang Yun-Gui Yang Xiangnan Li Baofa Sun Xin Tian 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2018年第3期187-199,共13页
Non-small-cell lung cancer (NSCLC), the most common type of lung cancer accounting for 85% of the cases, is often diagnosed at advanced stages owing to the lack of efficient early diagnostic tools. 5-Hydroxymetbylcy... Non-small-cell lung cancer (NSCLC), the most common type of lung cancer accounting for 85% of the cases, is often diagnosed at advanced stages owing to the lack of efficient early diagnostic tools. 5-Hydroxymetbylcytosine (ShmC) signatures in circulating cell-free DNA (cfDNA) that carries the cancer-specific epigenetic patterns may represent the valuable biomarkers for discriminat- ing tumor and healthy individuals, and thus could be potentially useful for NSCLC diagnosis. Here, we employed a sensitive and reliable method to map genome-wide 5hmC in the cfDNA of Chinese NSCLC patients and detected a significant 5hmC gain in both the gene bodies and promoter regions in the blood samples from tumor patients compared with healthy controls. Specifically, we identi- fied six potential biomarkers from 66 patients and 67 healthy controls (mean decrease accuracy 〉 3.2, P 〈 3.68E-19) using machine-learning-based tumor classifiers with high accuracy. Thus, the unique signature of 5hmC in tumor patient's cfDNA identified in our study may provide valuable information in facilitating the development of new diagnostic and therapeutic modalities for NSCLC. 展开更多
关键词 5-Hydroxymethylcytosine Lung cancer Cell-free DNA BIOMARKER 5hmC-Seal
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