ANOVA model for bayesian network meta-analysis of diagnostic test accuracy_Chinese Journal of Evidence-Based Medicine

Authors：

WU Jingling ¹ , PAN Bei ² , GE Long ³ , ZHANG Junhua ⁴ , YUAN Chongzhe ⁵ ,  TIAN Jinhui ^5,6

1. Department of Ultrasound, the First Hospital of PLA, Lanzhou, 730000, P.R.China;
2. School of Public Health, Lanzhou University, Lanzhou, 730000, P.R.China;
3. The First Clinical Medicine College of Lanzhou University, Lanzhou, 730000, P.R.China;
4. Evidence-based Medicine Center of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, P.R.China;
5. Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, P.R.China;
6. Key Laboratory of Clinical Translational Research and Evidence-based Medicine of Gansu Province, Lanzhou, 730000, P.R.China;

Corresponding author：

TIAN Jinhui, Email: tjh996@163.com

Keywords：

Diagnostic test accuracy; Network meta-analysis; ANOVA model; R software

DOI：

10.7507/1672-2531.201706042

Video：

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Abstract Full text Figures/Tables Video References Cited by

The method of network meta-analysis of diagnostic test accuracy is in the exploratory stage. We had explored and introduced several methods of network meta-analysis of diagnostic test accuracy before. Based on example, we introduce ANOVA model for performing network meta-analysis of diagnostic test accuracy step-by-step.

Citation： WU Jingling, PAN Bei, GE Long, ZHANG Junhua, YUAN Chongzhe, TIAN Jinhui. ANOVA model for bayesian network meta-analysis of diagnostic test accuracy. Chinese Journal of Evidence-Based Medicine, 2017, 17(9): 1111-1116. doi: 10.7507/1672-2531.201706042 Copy

1.	李伦, 杨克虎, 田金徽. 网状 Meta 分析相关术语和定义的研究. 中国药物评价, 2014, 31(6): 321-326.
2.	Migliore A, Broccoli S, Massafra U, et al. Mixed-treatment comparison of anabolic (teriparatide and PTH 1-84) therapies in women with severe osteoporosis. Curr Med Res Opin, 2012, 28(3):467-473.
3.	Lee AW. Review of mixed treatment comparisons in published systematic reviews shows marked increase since 2009. J Clin Epidemiol, 2014, 67(2):138-143.
4.	Li L, Tian J, Tian H, et al. Network meta-analyses could be improved by searching more sources and by involving a librarian. J Clin Epidemiol, 2014, 67(9): 1001-1007.
5.	Nyaga VN, Aerts M, Arbyn M. ANOVA model for network meta-analysis of diagnostic test accuracy data. Stat Methods Med Res, 2016, pii:0962280216669182.
6.	Deutsch R, Mindt MR, Xu R, et al. Quantifying relative superiority among many binary-valued diagnostic tests in the presence of a gold standard. J Data Sci, 2009, 7(2):161-177.
7.	杨品, 闫瑞峰, 闫坤, 等. (18)F-FDG PET/CT 和增强 MSCT 诊断胰腺癌价值的 Meta 分析. 中国 CT 和 MRI 杂志, 2017, 15(2): 58-61.
8.	刘兴安, 李云波, 王淼, 等. 18F-FDGPET-CT 和增强 CT 用于胰腺癌诊断的价值分析. 航空航天医学杂志, 2014, 25(5): 673-674.
9.	余仲飞, 方艺, 张建, 等. 18F-FDGPETCT 与增强 CT 在胰腺病变良恶性鉴别及胰腺癌分期中的价值对比研究. 医学影像学杂志, 2013, 23(8): 1236-1240.
10.	潘树波, 赵红川, 谢坤, 等. 增强 CT 和 PET/CT 对胰腺癌诊断及分期中的价值. 肝胆外科杂志, 2013, 21(6): 453-456.
11.	叶慧, 李杨, 莫逸, 等. 18F-FDGPET/CT 显像在胰腺癌诊断中的应用价值. 肿瘤学杂志, 2012, 18(10): 734-737.
12.	张雯杰, 吴宁, 周纯武, 等. 18FDGPET/CT 与增强 CT 对胰腺癌分期的价值. 中国医学影像技术, 2012, 28(4): 727-730.
13.	刘长存, 赵晋华, 宋建华, 等. 18FFDGPET/CT 联合腹部增强 CT 对诊断胰腺癌及评估肿瘤可切除性的临床应用. 中华核医学杂志, 2010, 30(2): 101-105.
14.	张淼, 李彪, 王华枫, 等. 18F-FDGPET/CT 与增强 CT 在胰腺癌诊断和分期中的价值比较.诊断学理论与实践, 2009, 8(1): 50-54.
15.	胡荣剑, 姚稚明, 潘纪戍, 等. 18F-FDGPET/CT 和增强 CT 对胰腺病变定性诊断的价值比较. 中华核医学杂志, 2007, 27(2): 68-72.
16.	王中秋, 卢光明, 郑玲, 等. PET/CT 及其他影像手段对胰腺癌诊断的比较研究. 医学影像学杂志, 2006, 16(1): 84-87.
17.	Zhang J, Zuo CJ, Jia NY, et al. Cross modality PET/CT and contrast-enhanced CT imaging for pancreatic cancer. World J Gastroenterol, 2015, 21(10): 2988.
18.	Ergul N, Gundogan C, Tozluc M, et al. Role of 18F-Fluorodeoxyglucose positron emission tomography/computed tomography in diagnosis and management of pancreatic cancer; comparison with multi detector row computed tomography, magnetic resonance imaging and endoscopic ultrasonography. Revista Espanola de Medicina Nucleare Imagen Molecular, 2014, 33(3):159-164.

1. 李伦, 杨克虎, 田金徽. 网状 Meta 分析相关术语和定义的研究. 中国药物评价, 2014, 31(6): 321-326.
2. Migliore A, Broccoli S, Massafra U, et al. Mixed-treatment comparison of anabolic (teriparatide and PTH 1-84) therapies in women with severe osteoporosis. Curr Med Res Opin, 2012, 28(3):467-473.
3. Lee AW. Review of mixed treatment comparisons in published systematic reviews shows marked increase since 2009. J Clin Epidemiol, 2014, 67(2):138-143.
4. Li L, Tian J, Tian H, et al. Network meta-analyses could be improved by searching more sources and by involving a librarian. J Clin Epidemiol, 2014, 67(9): 1001-1007.
5. Nyaga VN, Aerts M, Arbyn M. ANOVA model for network meta-analysis of diagnostic test accuracy data. Stat Methods Med Res, 2016, pii:0962280216669182.
6. Deutsch R, Mindt MR, Xu R, et al. Quantifying relative superiority among many binary-valued diagnostic tests in the presence of a gold standard. J Data Sci, 2009, 7(2):161-177.
7. 杨品, 闫瑞峰, 闫坤, 等. (18)F-FDG PET/CT 和增强 MSCT 诊断胰腺癌价值的 Meta 分析. 中国 CT 和 MRI 杂志, 2017, 15(2): 58-61.
8. 刘兴安, 李云波, 王淼, 等. 18F-FDGPET-CT 和增强 CT 用于胰腺癌诊断的价值分析. 航空航天医学杂志, 2014, 25(5): 673-674.
9. 余仲飞, 方艺, 张建, 等. 18F-FDGPETCT 与增强 CT 在胰腺病变良恶性鉴别及胰腺癌分期中的价值对比研究. 医学影像学杂志, 2013, 23(8): 1236-1240.
10. 潘树波, 赵红川, 谢坤, 等. 增强 CT 和 PET/CT 对胰腺癌诊断及分期中的价值. 肝胆外科杂志, 2013, 21(6): 453-456.
11. 叶慧, 李杨, 莫逸, 等. 18F-FDGPET/CT 显像在胰腺癌诊断中的应用价值. 肿瘤学杂志, 2012, 18(10): 734-737.
12. 张雯杰, 吴宁, 周纯武, 等. 18FDGPET/CT 与增强 CT 对胰腺癌分期的价值. 中国医学影像技术, 2012, 28(4): 727-730.
13. 刘长存, 赵晋华, 宋建华, 等. 18FFDGPET/CT 联合腹部增强 CT 对诊断胰腺癌及评估肿瘤可切除性的临床应用. 中华核医学杂志, 2010, 30(2): 101-105.
14. 张淼, 李彪, 王华枫, 等. 18F-FDGPET/CT 与增强 CT 在胰腺癌诊断和分期中的价值比较.诊断学理论与实践, 2009, 8(1): 50-54.
15. 胡荣剑, 姚稚明, 潘纪戍, 等. 18F-FDGPET/CT 和增强 CT 对胰腺病变定性诊断的价值比较. 中华核医学杂志, 2007, 27(2): 68-72.
16. 王中秋, 卢光明, 郑玲, 等. PET/CT 及其他影像手段对胰腺癌诊断的比较研究. 医学影像学杂志, 2006, 16(1): 84-87.
17. Zhang J, Zuo CJ, Jia NY, et al. Cross modality PET/CT and contrast-enhanced CT imaging for pancreatic cancer. World J Gastroenterol, 2015, 21(10): 2988.
18. Ergul N, Gundogan C, Tozluc M, et al. Role of 18F-Fluorodeoxyglucose positron emission tomography/computed tomography in diagnosis and management of pancreatic cancer; comparison with multi detector row computed tomography, magnetic resonance imaging and endoscopic ultrasonography. Revista Espanola de Medicina Nucleare Imagen Molecular, 2014, 33(3):159-164.

Chinese Journal of Evidence-Based Medicine

ANOVA model for bayesian network meta-analysis of diagnostic test accuracy

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