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Construction of Risk Prediction Model for Alzheimer’s Disease Based on Meta-Analysis

DOI: 10.4236/oalib.1105731, PP. 1-10

Keywords: Alzheimer’s Disease, Risk Prediction Model, Risk Factors, Logistic Regression, Meta-Analysis

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Objective: Construction of risk prediction model for Alzheimer’s disease based on Meta-analysis. Method: Documenting such as CNKI, WanFang database and VIP database, which were published in China from 2010 to 2018 and had data on risk factors for Alzheimer’s disease. Meta-analysis of standards compliant literature using RevMan5.3 software and then combine the results to obtain a comprehensive risk for each risk factor, the risk prediction model is established based on the natural logarithmic trans-formation value of the comprehensive risk. Result: A total of 28 articles were included in the literature. There are 7 risk factors entering the model through data screening and they were family history of dementia, ApoE, education level, brain trauma, drinking history, family history of dementia and gender and smoking history, a total of 2,229,980 patients were included. Conclusion: Ultimately the model will be used to effectively control risk factors and slow the progression of the disease.


[1]  Li, J.C., Huang, J.C., Zhu, Y.F., et al. (2017) Evaluation and Analysis of Early Risk Factors for Alzheimer’s Disease. Chinese Journal of Health Statistics, 34, 756-760.
[2]  Zhu, Q. and Chen, X.X. (2017) Epidemiological Investigation of Alzheimer’s Disease. Chinese Journal of Physical Medicine and Rehabilitation, 39, 866-869.
[3]  Zhang, C.B., Gao, K. and Yang, G.J. (2010) Simulation Comparison between Discriminant Analysis and Logistic Regression. Journal of Statistics and Information, 28, 19-25.
[4]  Yi, S.H., Yi, Y.S., Liu, T.C., et al. (2008) Logistic Regression Analysis of Colorectal Cancer Prognosis. Modern Chinese Medicine, 14, 969-971.
[5]  Htenstein, M.J. (1987) Guidelines for Reading Case Control Studies. Journal of Chronic Diseases, 40, 893?903.
[6]  Zhang, T., Hu, G.Y. and Lin, Y.L. (2016) Correlation between Apoe Allele Frequency and Lipid Metabolism in Patients with Alzheimer’s Disease. Journal of Practical Medicine, 32, 127-129.
[7]  Mai, Y.C. (2010) Correlation between Interleukin-8 and Apolipoprotein E Gene Poly-morphisms and Late Onset Alzheimer’s Disease. Journal of Sun Yat-sen University: Medical Science Edition, 31, 118-121.
[8]  Ye, C. and Liu, Q. (2010) Exploratory Study on Risk Assessment Model of Colorectal Cancer in Population. Evidence-Based Medicine, 10, 86-91.
[9]  Liu, J.P. (2006) Evidence-Based Chinese Medicine Clinical Research Methodology. People’s Medical Publishing House, Beijing.


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