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30 September 2019, Volume 2 Issue 3 Previous Issue   
Article
Effect of Transitional Care Model on Low Birth Weight Premature Infants: a meta-analysis
Ya-Nan Leng, Ming Sang, Ting-Ting Liu, Yu-Qi Li, Xiao-Li Pang
Medical Data Mining. 2019, 2 (3): 90-99.   https://doi.org/10.12032/mdm2018021
Abstract ( 119 )     PDF (520KB) ( 26 )  
Objective: To systematically review the effect of Transitional Care model (TCM) on the growth and development of premature infants. Methods: Randomized controlled trials (RCTs) or quasi-RTCs regarding the effect of TCM in low birth weight premature infants were retrieved in electronic databases such as the Cochrane Library, PubMed, EMbase, Web of Science, CBM (Chinese Biomedicine Database), CNKI (China National Knowledge Infrastructure), VIP (Chinese Scientific Journals Database) and Wanfang Database. Then, we adopted RevMan 5.3 software to perform a meta-analysis. Results: A total of 11 articles were included, including 1282 preterm infants. The result showed that compared with the routine care model, TCM can effectively increase the weight when premature infants discharged one week [MD=225.57, 95%CI (171.78, 279.37), P<0.001], increase the weight after discharged one month [MD=0.89, 95%CI (0.72, 1.06), P<0.001], increase the weight after discharged three months [MD=670.44, 95%CI (527.65, 813.23), P<0.001], promote the height of newborns [MD=4.54, 95%CI (2.42, 6.65), P<0.001], reduce readmission rate [RR=0.38, 95%CI (0.25, 0.58), P<0.001], alleviate adverse skin reactions [RR=0.33, 95%CI (0.22, 0.50), P<0.001], increase nursing satisfaction of the families [RR=1.21, 95%CI (1.13, 1.31), P<0.001]. Conclusion: TCM can effectively promote the growth and development of the low birth weight premature infants, reduce the hospital readmission rate, alleviate adverse skin reactions of premature infants and improve the nursing satisfaction of the families. However, due to the limitation of the region and quality of the included studies, which the accuracy of the result still be treated with more caution. Further high-quality studies are needed to verify the conclusion.
Meta-analysis of Integrated Traditional Chinese and Western Medicine in Treating H Type Hypertension
Jia He, Wen Liu, Wei Zhang, Li-Jin Zhang
Medical Data Mining. 2019, 2 (3): 100-109.   https://doi.org/10.12032/mdm2018024
Abstract ( 43 )     PDF (344KB) ( 9 )  

Abstract 

Objective: The aim of this study was to compare the clinical emcacy of integration of traditional Chinese medicine (TCM) and we stern medicine, and the western medicine therapy for H type hypertension. Methods: The randomized contmlled trials were collected via searching the internet. The literatures were screened according to inclusion and exclusion criteria. All the assignments were performed by two researchers. If there was disagreement between the two researchers, we would ask evidence based medicine expert for advice, to get an optimal result. The database included the ChianInfo (1978—2015), the Superstar database (1955—2017), the CBM(1985—2017), CNKI(1984—2017), PubMed(1966—2017). Accordingto Meta analysis, the RevMan 5.2 software was used to recover and analyze the literatures, and make the assessment of the integration of TCM and westem medicine in treating H Type Hypertension. Results: In the study, 12 trials were included. The total number of cases is 1139. The Meta analysis results showed that: Compared with western medicine the integration of TCM and western medicine would improve the antihypertensive efficacy [OR=0.39, 95%CI (0.25, 0.59), Z=4.38(P< 0.0001)],lower Hcy levels [WMD=-1.93, 95%CI (-2.27, 0.21), Z=4.38 (P< 0.0001)]. Conclusion: The combination therapy can effectively reduce Hcy levels, control blood pressure, better than Western medicine.

Effects of Pilates exercise on balance, walking and lower limbs motor function in stroke patients: A meta-analysis
Ya-Nan Leng, Min Zhang, Yu-Qi Li, Ting-Ting Liu, Xiao-Li Pang
Medical Data Mining. 2019, 2 (3): 110-117.   https://doi.org/10.12032/mdm2018022
Abstract ( 95 )     PDF (477KB) ( 48 )  
Objective: To systematically evaluate the effects of Pilates exercise on balance, walking and lower limbs motor function in stroke patients. Methods: The literature databases such as the Cochrane Library, EMbase, PubMed, Web of Science, Chinese Biomedicine Database (CBM), China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP) and Wan Fang database (Wan Fang) were retrieved. Randomized controlled trials (RCTs) regarding the effects of Pilates exercise on balance, walking and lower limbs motor function of stroke patients were retrieved. Data were collected and evaluated independently by two researchers. Then, we adopted RevMan 5.3 software to perform a meta-analysis. Results: A total of 5 RCTs were included, including 182 subjects were chosen. The result showed that compared with the routine care group, Pilates exercise can effectively improve the balance of stroke patients when they have trained eight weeks [MD=4.71, 95%CI (2.14, 7.28), P=0.0003], shorten the time of the Timed Up and Go test (TUG) [MD=-1.63, 95%CI (-2.69, -0.56), P=0.003], increase the stride velocity [MD=3.83, 95%CI (1.43, 6.23), P=0.002]. However, the evidence did not support the effectiveness of Pilates exercise on increasing the score of Fugl-Meyer Assessment-Lower Extremity (FMA-LE) of stroke patients [MD=6.70, 95%CI (-3.46, 16.86), P=0.20]. Conclusion: The findings suggest that Pilates could improve the balance and walking speed of stroke patients. However, there still is the lack of the evidence in improving lower limb function. Due to the limitation of the quality of the included studies. high-quality studies still should be conducted to investigate the effect of Pilates exercise in stroke patients.
Application status and development of big data in medical education in China
Ke-Jia Liu, Yu-Di Cao, Yue Hu, Li-Jiao Wei
Medical Data Mining. 2019, 2 (3): 118-125.   https://doi.org/10.12032/mdm2018023
Abstract ( 67 )     PDF (301KB) ( 18 )  
With the development of information technology, big data has been widely used in medical education in China. Through the analysis of the definition, characteristics and development process of big data, summarized the transformation of domestic big data medical education mode compared with the traditional medical education mode in the teaching mode reform, research method innovation, teaching courses optimization, teaching key extension and the teaching quality monitoring. Based on this, this paper expounds the impact and challenge of big data on medical education, and makes an outlook on its development prospect, indicating that the future development of big data will be open, popular and trending. At the same time, some suggestions on further optimization direction of China's big data medical education are put forward.
Effects of Written Emotional Disclosure on Burden, Trauma Symptoms and Health Status in Primary Caregivers of The Patient: A meta-analysis
Ya-Nan Leng, Min Zhang, Ting-Ting Liu, Yu-Qi Li, Xiao-Li Pang
Medical Data Mining. 2019, 2 (3): 126-133.   https://doi.org/10.12032/mdm2018025
Abstract ( 54 )     PDF (508KB) ( 15 )  

Abstract 

Objective: The meta-analysis aims to evaluate the efficacy of written emotional disclosure on burden, trauma symptoms and health status in primary caregivers of the patient. Methods: Randomized controlled trials (RCTs) of written emotional disclosure in primary caregivers of the patient were retrieved from multiple electronic databases such as the Cochrane Library, PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP), Chinese Biomedicine Database (CBM) and Wan Fang database (Wan Fang) until August 2019. The eligible studies were screened and evaluated independently by two researchers. Then, we analyzed the extracted data by RevMan 5.3 software. Results: A total of 7 randomized controlled trials (RCT) with 352 primary caregivers were included. The quality evaluation grade of the 3 articles included in the literature was “A”, and the rests was “B”. Meta-analysis showed that compared with the control group, written emotional disclosure could alleviate the burden of patients' primary caregivers [SMD = 0.26, 95% CI (0.02, 0.49), P = 0.03]. The results showed that there was no significant difference between the two groups in alleviating trauma-like symptoms [MD = 3.30, 95% CI (-4.52, 11.11), P = 0.41]. There was no significant difference in the mean score of the General Health Questionnaire (GHQ) between the two groups [MD = -1.94, 95% CI (-11.11, 7.23), P = 0.68]. Besides, there was no significant difference between the two groups in improving their physical and mental health [SMD = 0.28, 95% CI (-0.17, 0.73), P = 0.22; SMD = -0.43, 95% CI (-0.88, 0.02), P = 0.06]. Conclusion: Written emotional disclosure can effectively alleviate the burden in patients' primary caregivers. However, the effects on trauma-like symptoms, the GHQ score and health status need to be verified by further studies.