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Bayes序贯判决应用于二值临床试验
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作者 龚秀芳 钱文娣 《上海师范大学学报(自然科学版)》 2001年第1期32-37,共6页
应用 Bayes序贯判决于结果变量为二值的临床试验 .把病人范围和治疗效果引进损失函数 ,能减少计算复杂性 .
关键词 成组序贯临床试验 Bayes序贯判决 损失函数 判决理论 二项分布 病人范围 治疗效果
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Targeted therapy of gastric cancer:current and prospective strategies 被引量:1
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作者 Tingting Huang Hong Qiu Xianglin Yuan 《Oncology and Translational Medicine》 2018年第2期41-47,共7页
Gastric cancer is the third leading cause of cancer-related death worldwide. Surgery is currently the only curative treatment strategy. Chemotherapy has shown limited efficacy in advanced gastric cancer patients with ... Gastric cancer is the third leading cause of cancer-related death worldwide. Surgery is currently the only curative treatment strategy. Chemotherapy has shown limited efficacy in advanced gastric cancer patients with a median overall survival of less than one year. Thus, new treatments are urgently needed. Trastuzumab and Ramucirumab are the only targeted therapies approved currently. Most Phase Ⅲ clinical trials evaluating targeted drugs in gastric cancer have failed. This review will evaluate relevant clinical trials with targeted therapies performed in gastric cancer patients, discuss the possible reasons for the failure, and indicate new possibilities to enhance gastric cancer treatment. 展开更多
关键词 gastric cancer targeted therapy clinical trials
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Mobile health applications for the care of patients with breast cancer:A scoping review
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作者 Tingting Cai Yueshi Huang +3 位作者 Yuxia Zhang Zhenqi Lu Qingmei Huang Changrong Yuan 《International Journal of Nursing Sciences》 CSCD 2021年第4期470-476,I0007,共8页
Objectives:In recent years,the use of mobile health applications(mHealth apps)to deliver care for patients with breast cancer has increased exponentially.This study aimed to summarize the available evidence on develop... Objectives:In recent years,the use of mobile health applications(mHealth apps)to deliver care for patients with breast cancer has increased exponentially.This study aimed to summarize the available evidence on developing mHealth apps to care for patients with breast cancer and identify the need for systematic efforts.Methods:A scoping review was performed according to Arksey and O’Malley’s framework,aiming to identify eligible research studies in PubMed,CINAHL,and Web of Science between January 2010 and December 2020.All identified studies were screened,extracted,and analyzed independently by two reviewers.Results:A total of 676 studies were retrieved,and eight eligible studies were finally included.Four themes emerged:the involvement of patients and health professionals in the phases of design and development,patients’preferences,the characteristics of patients,and the motivators to use mHealth apps.The results indicated promising prospects for using mHealth apps to care for patients with breast cancer and identified the need for systematic efforts to develop and validate relevant apps.Conclusions:The attributes of patient characteristics,needs,and patient-reported outcomes data are vital components for developing mHealth apps for patients with breast cancer.Additionally,collaborative efforts,including patients,nurses,and other significant health professionals,should develop mHealth apps for breast cancer care.Additional research focusing on the design and development of mHealth apps for patients with breast cancer is warranted. 展开更多
关键词 Breast neoplasms Health promotion Mobile application Nursing care PATIENTS Scoping review
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A bioinformatics method for predicting long noncoding RNAs associated with vascular disease 被引量:2
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作者 LI JianWei GAO Cheng +6 位作者 WANG YuChen MA Wei TU Jian WANG JunPei CHEN ZhenZhen KONG Wei CUI QingHua 《Science China(Life Sciences)》 SCIE CAS 2014年第8期852-857,共6页
Long noncoding RNAs(lncRNAs)play important roles in human diseases including vascular disease.Given the large number of lncRNAs,however,whether the majority of them are associated with vascular disease remains unknown... Long noncoding RNAs(lncRNAs)play important roles in human diseases including vascular disease.Given the large number of lncRNAs,however,whether the majority of them are associated with vascular disease remains unknown.For this purpose,here we present a genomic location based bioinformatics method to predict the lncRNAs associated with vascular disease.We applied the presented method to globally screen the human lncRNAs potentially involved in vascular disease.As a result,we predicted 3043 putative vascular disease associated lncRNAs.To test the accuracy of the method,we selected 10 lncRNAs predicted to be implicated in proliferation and migration of vascular smooth muscle cells(VSMCs)for further experimental validation.The results confirmed that eight of the 10 lncRNAs(80%)are validated.This result suggests that the presented method has a reliable prediction performance.Finally,the presented bioinformatics method and the predicted vascular disease associated lncRNAs together may provide helps for not only better understanding of the roles of lncRNAs in vascular disease but also the identification of novel molecules for the diagnosis and therapy of vascular disease. 展开更多
关键词 vascular disease lncRNAs BIOINFORMATICS
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