1.Tuina treatment for children and adults with functional dyspepsia:a meta-analysis and systematic review of randomized controlled trials
Zijing TAO ; Zeng CAO ; Qian LIU ; Xiaoying LUO ; Gezhi ZHANG ; Shuangshuang FANG ; Sijing DU ; Yang YANG ; Wei WEI
Journal of Acupuncture and Tuina Science 2023;21(5):413-426
Objective:To evaluate the efficacy and safety of Tuina(Chinese therapeutic massage)in the treatment of functional dyspepsia(FD)in children and adults. Methods:Related articles in PubMed,Excerpta Medica Database(EMBASE),Cochrane Library,Web of Science,China Biology Medicine Disc(CBM),Wanfang Academic Journal Full-text Database(Wanfang),China National Knowledge Infrastructure(CNKI),and Chongqing VIP Database(CQVIP)were collected.The retrieval time was from each database's start to March 2022.Two researchers independently screened the literature,extracted the data,and evaluated the risk of bias in the included studies.A meta-analysis was then performed using the RevMan 5.4 software. Results:A total of 19 clinical trials were included,9 of which encompassed studies on adults while 10 were on children with FD,comprising a total of 1961 patients.The findings of the meta-analysis showed that the effective rate of FD in children and adults treated with Tuina was significantly higher than that in the control group[risk ratio(RR)=1.15,95%confidence interval(CI)(1.09,1.21),P<0.001],[RR=1.13,95%CI(1.06,1.21),P<0.001].In addition,the effective rate of FD in children and adults treated with Tuina combined with other treatments was significantly higher than that in the control group[RR=1.14,95%CI(1.07,1.21),P<0.001],[RR=1.12,95%CI(1.02,1.24),P=0.02].In terms of single symptoms,Tuina improved epigastric burning sensation score in adults[standardized mean difference(SMD)=-0.41;95%CI(-0.79,-0.02);Z=2.08;P=0.04]compared with that of the Western medicine group.Compared with children treated with oral Chinese medications(CM)or Chinese patent medicine(CPM),children with FD demonstrated lower scores of epigastric pain[SMD=-0.38,95%CI(-0.56,-0.19);Z=3.96;P<0.001],postprandial fullness[SMD=-0.30,95%CI(-0.50,-0.10);Z=2.88;P=0.004],and early satiety[SMD=-0.26,95%CI(-0.47,-0.06);Z=2.54;P=0.01]after receiving Tuina combined with CM or CPM treatment.No adverse events were reported in the Tuina treatment group,and the follow-up indicated that the symptom scores in the Tuina group improved. Conclusion:Compared with the control group,both Tuina and Tuina combined with other treatments are shown to have better effective rates,lower incidence of adverse events,and better follow-up outcomes.The study results suggest that Tuina may be a clinically viable complementary therapy.However,due to limitations in the number and quality of the included studies,the above conclusions should be verified by further high-quality studies.
2. Correlation of health literacy and mobile phone use dependence with psychopathological symptoms in middle school students
Rong YANG ; Danlin LI ; Yuhui WAN ; Shaojun XU ; Shuangshuang MA ; Wei WANG ; Hanjun ZENG ; Honglyu XU ; Huiqiong XU ; Fangbiao TAO ; Shichen ZHANG
Chinese Journal of Preventive Medicine 2019;53(3):279-283
Objective:
To explore the correlation of health literacy and mobile phone use dependence with psychopathological symptoms in middle school students.
Methods:
22 628 middle school students in Shenyang, Bengbu, Xinxiang, Ulanqab, Chongqing and Yangjiang were enrolled by multistage cluster sampling method from November 2015 to January 2016. Chinese Adolescent Interactive Health Literacy Questionnaire (CAIHLQ), Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and Multidimensional Sub-health Questionnaire of Adolescents (MSQA) were applied to acquire basic characteristics, health literacy, mobile phone use dependence and psychopathological symptoms of subjects. Subjects were classified into three groups, low level (<
3.Applying artificial intelligence for cancer immunotherapy.
Zhijie XU ; Xiang WANG ; Shuangshuang ZENG ; Xinxin REN ; Yuanliang YAN ; Zhicheng GONG
Acta Pharmaceutica Sinica B 2021;11(11):3393-3405
Artificial intelligence (AI) is a general term that refers to the use of a machine to imitate intelligent behavior for performing complex tasks with minimal human intervention, such as machine learning; this technology is revolutionizing and reshaping medicine. AI has considerable potential to perfect health-care systems in areas such as diagnostics, risk analysis, health information administration, lifestyle supervision, and virtual health assistance. In terms of immunotherapy, AI has been applied to the prediction of immunotherapy responses based on immune signatures, medical imaging and histological analysis. These features could also be highly useful in the management of cancer immunotherapy given their ever-increasing performance in improving diagnostic accuracy, optimizing treatment planning, predicting outcomes of care and reducing human resource costs. In this review, we present the details of AI and the current progression and state of the art in employing AI for cancer immunotherapy. Furthermore, we discuss the challenges, opportunities and corresponding strategies in applying the technology for widespread clinical deployment. Finally, we summarize the impact of AI on cancer immunotherapy and provide our perspectives about underlying applications of AI in the future.