Advance in the GRADE approach to rate the quality of evidence from a network meta-analysis_Chinese Journal of Evidence-Based Medicine

Authors：

WANG Qi ¹ ^# , WANG Jiancheng ² ^# , PAN Bei ² , ZHANG Qian ³ , ZHOU Qi ^4,5 , TIAN Jinhui ^4,5 , CHEN Yaolong ^4,5 , YANG Kehu ^4,5 , WU Darong ⁶ , GUO Xinfeng ⁶ , YANG Lihong ⁶ , Gordon Guyatt ⁷ ,  GE Long ^1,5

1. Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, P.R.China;
2. Gansu Provincial Hospital, Lanzhou 730000, P.R.China;
3. School of Nursing, Lanzhou University, Lanzhou 730000, P.R.China;
4. Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P.R.China;
5. Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, P.R.China;
6. The Second Affiliated Hospital of Guangzhou University of Chinese Medicine/Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, P.R.China;
7. Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton L8S4L8, Canada;

Corresponding author：

GE Long, Email: gelong2009@163.com

Keywords：

Network meta-analysis; GRADE approach; Quality of evidence

DOI：

10.7507/1672-2531.202002171

Video：

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Abstract Full text Figures/Tables Video References Cited by

In 2014, the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) working group published guidance in BMJ to evaluate the certainty of the evidence (confidence in evidence, quality of evidence) from network meta-analysis. GRADE working group suggested rating the certainty of direct evidence, indirect evidence, and network evidence, respectively. Recently, GRADE working group has published a series of papers to improve and supplement this approach. This paper introduces the frontiers and advancement of GRADE approach to rate the certainty of evidence from network meta-analysis.

Citation： WANG Qi, WANG Jiancheng, PAN Bei, ZHANG Qian, ZHOU Qi, TIAN Jinhui, CHEN Yaolong, YANG Kehu, WU Darong, GUO Xinfeng, YANG Lihong, Gordon Guyatt, GE Long. Advance in the GRADE approach to rate the quality of evidence from a network meta-analysis. Chinese Journal of Evidence-Based Medicine, 2020, 20(8): 979-985. doi: 10.7507/1672-2531.202002171 Copy

1.	Puhan MA, Schunemann HJ, Murad MH, et al. A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. British Med J, 2014, 349(349): g5630.
2.	杨楠, 肖淑君, 周奇, 等. GRADE 在网状 Meta 分析中应用的基本原理和方法介绍. 中国循证医学杂志, 2016, 16(5): 598-603.
3.	Brignardello-Petersen R, Bonner A, Alexander PE, et al. Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis. J Clin Epidemiol, 2018, 93: 36-44.
4.	Brignardello-Petersen R, Mustafa RA, Siemieniuk RAC, et al. GRADE approach to rate the certainty from a network meta-analysis: addressing incoherence. J Clin Epidemiol, 2019, 108: 77-85.
5.	Brignardello-Petersen R, Murad MH, Walter SD, et al. GRADE approach to rate the certainty from a network meta-analysis: avoiding spurious judgments of imprecision in sparse networks. J Clin Epidemiol, 2019, 105: 60-67.
6.	Jansen JP, Fleurence R, Devine B, et al. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1. Value Health, 2011, 14(4): 417-428.
7.	Bucher HC, Guyatt GH, Griffith LE, et al. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol, 1997, 50(6): 683-691.
8.	Sutton A, Ades AE, Cooper N, et al. Use of indirect and mixed treatment comparisons for technology assessment. Pharmacoeconomics, 2008, 26(9): 753-767.
9.	李伦, 杨克虎. 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.
10.	Lumley T. Network meta-analysis for indirect treatment comparisons. Statist Med, 2002, 21(16): 2313-2324.
11.	Jansen JP, Crawford B, Bergman G, et al. Bayesian meta-analysis of multiple treatment comparisons: an introduction to mixed treatment comparisons. Value Health, 2008, 11(5): 956-964.
12.	White IR. Multivariate random-effects meta-regression: Updates to mvmeta. Stata J, 2011, 11(2): 255-270.
13.	Dias S, Sutton AJ, Ades AE, et al. Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Med Decis Making, 2013, 33(5): 607-617.
14.	Dias S, Sutton AJ, Welton NJ, et al. Evidence synthesis for decision making 3: heterogeneity--subgroups, meta-regression, bias, and bias-adjustment. Med Decis Making, 2013, 33(5): 618-640.
15.	Hutton B, Salanti G, Caldwell DM, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med, 2015, 162(11): 777-784.
16.	王子君, 王小琴, 姚亮, 等. GRADE对健康公平性的考虑. 中国循证医学杂志, 2018, 18(7): 746-752.
17.	Murad MH, Drake MT, Mullan RJ, et al. Clinical review. Comparative effectiveness of drug treatments to prevent fragility fractures: a systematic review and network meta-analysis. J Clin Endocrinol Meta, 2012, 97(6): 1871-1880.
18.	McLeod SL, Brignardello-Petersen R, Worster A, et al. Comparative effectiveness of antiarrhythmics for out-of-hospital cardiac arrest: a systematic review and network meta-analysis. Resuscitation, 2017, 121: 90-97.

1. Puhan MA, Schunemann HJ, Murad MH, et al. A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. British Med J, 2014, 349(349): g5630.
2. 杨楠, 肖淑君, 周奇, 等. GRADE 在网状 Meta 分析中应用的基本原理和方法介绍. 中国循证医学杂志, 2016, 16(5): 598-603.
3. Brignardello-Petersen R, Bonner A, Alexander PE, et al. Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis. J Clin Epidemiol, 2018, 93: 36-44.
4. Brignardello-Petersen R, Mustafa RA, Siemieniuk RAC, et al. GRADE approach to rate the certainty from a network meta-analysis: addressing incoherence. J Clin Epidemiol, 2019, 108: 77-85.
5. Brignardello-Petersen R, Murad MH, Walter SD, et al. GRADE approach to rate the certainty from a network meta-analysis: avoiding spurious judgments of imprecision in sparse networks. J Clin Epidemiol, 2019, 105: 60-67.
6. Jansen JP, Fleurence R, Devine B, et al. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1. Value Health, 2011, 14(4): 417-428.
7. Bucher HC, Guyatt GH, Griffith LE, et al. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol, 1997, 50(6): 683-691.
8. Sutton A, Ades AE, Cooper N, et al. Use of indirect and mixed treatment comparisons for technology assessment. Pharmacoeconomics, 2008, 26(9): 753-767.
9. 李伦, 杨克虎. 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.
10. Lumley T. Network meta-analysis for indirect treatment comparisons. Statist Med, 2002, 21(16): 2313-2324.
11. Jansen JP, Crawford B, Bergman G, et al. Bayesian meta-analysis of multiple treatment comparisons: an introduction to mixed treatment comparisons. Value Health, 2008, 11(5): 956-964.
12. White IR. Multivariate random-effects meta-regression: Updates to mvmeta. Stata J, 2011, 11(2): 255-270.
13. Dias S, Sutton AJ, Ades AE, et al. Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Med Decis Making, 2013, 33(5): 607-617.
14. Dias S, Sutton AJ, Welton NJ, et al. Evidence synthesis for decision making 3: heterogeneity--subgroups, meta-regression, bias, and bias-adjustment. Med Decis Making, 2013, 33(5): 618-640.
15. Hutton B, Salanti G, Caldwell DM, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med, 2015, 162(11): 777-784.
16. 王子君, 王小琴, 姚亮, 等. GRADE对健康公平性的考虑. 中国循证医学杂志, 2018, 18(7): 746-752.
17. Murad MH, Drake MT, Mullan RJ, et al. Clinical review. Comparative effectiveness of drug treatments to prevent fragility fractures: a systematic review and network meta-analysis. J Clin Endocrinol Meta, 2012, 97(6): 1871-1880.
18. McLeod SL, Brignardello-Petersen R, Worster A, et al. Comparative effectiveness of antiarrhythmics for out-of-hospital cardiac arrest: a systematic review and network meta-analysis. Resuscitation, 2017, 121: 90-97.

Chinese Journal of Evidence-Based Medicine

Advance in the GRADE approach to rate the quality of evidence from a network meta-analysis

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