Model-based Meta-analysis: Method and Evaluation_Chinese Journal of Evidence-Based Medicine

Authors：

 WANGChen , LILu-jin , YANGJuan ,  ZHENGQing-shan

Center for Drug Clinical Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China;

Corresponding author：

ZHENGQing-shan, Email: qingshan.zheng@drugchina.net

Keywords：

Model-based meta-analysis; Meta-analysis; Mathematical model; Covariate

DOI：

10.7507/1672-2531.20160129

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Model-based meta-analysis (MBMA) is a new type of quantitative analysis method, random effects in statistics will be found and put into the model as well as covariates. The final model has a strong predictive ability, can be conducted to make clinical decisions and evaluation. For its complexity, MBMA study is difficult to perform which restricted its application. By summarizing current published MBMA studies as well as the authors' experience, this article introduced the principle, method and status of MBMA.

Citation： WANGChen, LILu-jin, YANGJuan, ZHENGQing-shan. Model-based Meta-analysis: Method and Evaluation. Chinese Journal of Evidence-Based Medicine, 2016, 16(7): 847-850. doi: 10.7507/1672-2531.20160129 Copy

1.	Mould DR. Model-Based Meta-Analysis:An important tool for making quantitative decisions during drug development. Clin Pharmacol Ther, 2012, 92(3):283-286.
2.	Ahn JE, French JL. Longitudinal aggregate data model-based meta-analysis with NONMEM:approaches to handling within treatment arm correlation. J Pharmacokinet Pharmacodyn, 2010, 37(2):179-201.
3.	罗杰, 冷卫东, 主编. 系统评价/Meta分析理论与实践. 北京:军事医学科学出版社, 2013:1-5.
4.	Glass GV. Primary, secondary, and meta-analysis of research. Educ Res, 1976, 5(10):3-8.
5.	Schnee S, Enoch M, Noriega-Crespo A, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ, 1997, 315(7129):629-634.
6.	Rd BJ. The promise and problems of meta-analysis. New Engl J Med, 1997, 337(8):559-561.
7.	Mandema JW, Gibbs M, Boyd RA, et al. Model-based meta-analysis for comparative efficacy and safety:application in drug development and beyond. Clin Pharmacol Ther, 2011, 90(6):766-769.
8.	Felsenstein J. Jackknife, bootstrap and other resampling methods in regression analysis. Ann Appl Stat, 1986, 14(4):1308-1310.
9.	Wang DD, Zhang S. Standardized visual predictive check versus visual predictive check for model evaluation. J Clin Pharmacol, 2012, 52(1):39-54.
10.	Kunsch HR. The jackknife and the bootstrap for general stationary observations. Ann Appl Stat, 2010, 17(3):1217-1241.
11.	Bonate PL, Floret S, Bentzen C. Population pharmacokinetics of APOMINE:a meta-analysis in cancer patients and healthy males. Br J Clin Pharmacol, 2004, 58(2):142-155.
12.	Mandema JW, Hermann D, Wang W, et al. Model-based development of gemcabene, a new lipid-altering agent. Aaps J, 2005, 7(3):E513-E522.
13.	Gibbs J P, Jill F, Todd B, et al. Quantitative model of the relationship between dipeptidyl peptidase-4 (DPP-4) inhibition and response:meta-analysis of alogliptin, saxagliptin, sitagliptin, and vildagliptin efficacy results. J Clin Pharmacol, 2012, 52(10):1494-1505.
14.	Gross JL, Rogers J, Polhamus D, et al. A novel model-based meta-analysis to indirectly estimate the comparative efficacy of two medications:an example using DPP-4 inhibitors, sitagliptin and linagliptin, in treatment of type 2 diabetes mellitus. BMJ Open, 2013, 3(3):1-11.
15.	Mandema JW, Cox E, Alderman J. Therapeutic benefit of eletriptan compared to sumatriptan for the acute relief of migraine pain——results of a model-based meta-analysis that accounts for encapsulation. Cephalalgia, 2005, 25(25):715-725.
16.	Mandema JW, Salinger DH, Baumgartner SW, et al. A dose-response meta-analysis for quantifying relative efficacy of biologics in rheumatoid arthritis. Clin Pharmacol Ther, 2011, 90(6):828-835.
17.	Jang J, Le LJ, Wang K, et al. Race differences:modeling the pharmacodynamics of rosuvastatin in Western and Asian hypercholesterolemia patients. Acta Pharmacol Sin, 2011, 32(1):116-125.
18.	Li L, Lv Y, Xu L, et al. Quantitative efficacy of soy isoflavones on menopausal hot flashes. Br J Clin Pharmacol, 2014, 79(4):593-604.
19.	孙谊, 李良, 周田彦, 等. 基于模型的荟萃分析比较非布索坦与别嘌醇在痛风患者中的血尿酸下降应答率的影响. 药学学报, 2014, 49(12):1674-1683.
20.	Pgcertpharm PA, Braund R, Duffull SB. A model-based meta-analysis of the influence of factors that impact adherence to medications. J Clin Pharmacol, 2015, 40(1):24-31.

1. Mould DR. Model-Based Meta-Analysis:An important tool for making quantitative decisions during drug development. Clin Pharmacol Ther, 2012, 92(3):283-286.
2. Ahn JE, French JL. Longitudinal aggregate data model-based meta-analysis with NONMEM:approaches to handling within treatment arm correlation. J Pharmacokinet Pharmacodyn, 2010, 37(2):179-201.
3. 罗杰, 冷卫东, 主编. 系统评价/Meta分析理论与实践. 北京:军事医学科学出版社, 2013:1-5.
4. Glass GV. Primary, secondary, and meta-analysis of research. Educ Res, 1976, 5(10):3-8.
5. Schnee S, Enoch M, Noriega-Crespo A, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ, 1997, 315(7129):629-634.
6. Rd BJ. The promise and problems of meta-analysis. New Engl J Med, 1997, 337(8):559-561.
7. Mandema JW, Gibbs M, Boyd RA, et al. Model-based meta-analysis for comparative efficacy and safety:application in drug development and beyond. Clin Pharmacol Ther, 2011, 90(6):766-769.
8. Felsenstein J. Jackknife, bootstrap and other resampling methods in regression analysis. Ann Appl Stat, 1986, 14(4):1308-1310.
9. Wang DD, Zhang S. Standardized visual predictive check versus visual predictive check for model evaluation. J Clin Pharmacol, 2012, 52(1):39-54.
10. Kunsch HR. The jackknife and the bootstrap for general stationary observations. Ann Appl Stat, 2010, 17(3):1217-1241.
11. Bonate PL, Floret S, Bentzen C. Population pharmacokinetics of APOMINE:a meta-analysis in cancer patients and healthy males. Br J Clin Pharmacol, 2004, 58(2):142-155.
12. Mandema JW, Hermann D, Wang W, et al. Model-based development of gemcabene, a new lipid-altering agent. Aaps J, 2005, 7(3):E513-E522.
13. Gibbs J P, Jill F, Todd B, et al. Quantitative model of the relationship between dipeptidyl peptidase-4 (DPP-4) inhibition and response:meta-analysis of alogliptin, saxagliptin, sitagliptin, and vildagliptin efficacy results. J Clin Pharmacol, 2012, 52(10):1494-1505.
14. Gross JL, Rogers J, Polhamus D, et al. A novel model-based meta-analysis to indirectly estimate the comparative efficacy of two medications:an example using DPP-4 inhibitors, sitagliptin and linagliptin, in treatment of type 2 diabetes mellitus. BMJ Open, 2013, 3(3):1-11.
15. Mandema JW, Cox E, Alderman J. Therapeutic benefit of eletriptan compared to sumatriptan for the acute relief of migraine pain——results of a model-based meta-analysis that accounts for encapsulation. Cephalalgia, 2005, 25(25):715-725.
16. Mandema JW, Salinger DH, Baumgartner SW, et al. A dose-response meta-analysis for quantifying relative efficacy of biologics in rheumatoid arthritis. Clin Pharmacol Ther, 2011, 90(6):828-835.
17. Jang J, Le LJ, Wang K, et al. Race differences:modeling the pharmacodynamics of rosuvastatin in Western and Asian hypercholesterolemia patients. Acta Pharmacol Sin, 2011, 32(1):116-125.
18. Li L, Lv Y, Xu L, et al. Quantitative efficacy of soy isoflavones on menopausal hot flashes. Br J Clin Pharmacol, 2014, 79(4):593-604.
19. 孙谊, 李良, 周田彦, 等. 基于模型的荟萃分析比较非布索坦与别嘌醇在痛风患者中的血尿酸下降应答率的影响. 药学学报, 2014, 49(12):1674-1683.
20. Pgcertpharm PA, Braund R, Duffull SB. A model-based meta-analysis of the influence of factors that impact adherence to medications. J Clin Pharmacol, 2015, 40(1):24-31.

Previous Article
Development of Evidence-based Medicine: Focus on the Abstracts of the Cochrane Colloquium
Next Article
Methods to Combine Standard Deviations of Different Subgroups in Meta-analysis

Chinese Journal of Evidence-Based Medicine

Model-based Meta-analysis: Method and Evaluation

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content