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Utilizing cloud-based technology to construct a precise network management model for statin therapy in Alzheimer's disease - A meta-analysis.
- Source :
-
Tropical Journal of Pharmaceutical Research . Sep2023, Vol. 22 Issue 9, p1991-1997. 7p. - Publication Year :
- 2023
-
Abstract
- Purpose: To investigate the use and applications of Internet cloud technology to construct a network management model for statin therapy in Alzheimer's disease in Hainan Province. Method: Randomized controlled trials (RCTs) investigating the prevention and treatment of Alzheimer's disease (AD) with statins were employed in this study. Computerized searches were conducted using PubMed, EM-BASE, Cochrane Library, Chinese National Knowledge Infrastructure (CNKI), WANFANG Data, and Curriculum-Based Measurement (CBM) retrieval systems, with a retrieval timeframe of April 2012. After literature screening, data extraction, and quality evaluation, Meta-analysis was performed using Review Manager 5.1.0 software. Results: A total of 827 publications were obtained, and 3 RCTs were included after the full texts were studied. While there was no significant advantage of statin use at 3 and 6 months after intervention, the study group exhibited higher Mini-Mental State Examination (MMSE) scores than the control group one year later (p < 0.05). Also, statin use did not have a significant effect on Activities of Daily Living (ADL) scores one year after intervention (p < 0.05). The occurrence of adverse reactions in the two groups was not statistically significant (p > 0.05). Conclusion: The use of Internet cloud technology for building an Alzheimer's disease network management system simplifies the process of Alzheimer's disease diagnosis and treatment, and reduces the cost of Alzheimer's disease services. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15965996
- Volume :
- 22
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Tropical Journal of Pharmaceutical Research
- Publication Type :
- Academic Journal
- Accession number :
- 172934457
- Full Text :
- https://doi.org/10.4314/tjpr.v22i9.30