Rating the certainty of evidence from network meta-analysis: an introduction to CINeMA_Chinese Journal of Evidence-Based Medicine

Authors：

WANG Qi ^1,2 ^# , WANG Yunhua ² ^# , LAI Honghao ² , WANG Qi ² , DING Guowu ² , TIAN Jinhui ^3,4 , CHEN Yaolong ^3,4 , YANG Kehu ^3,4 , WU Darong ⁵ , GUO Xinfeng ⁵ , YANG Lihong ⁵ ,  GE Long ^1,2,4

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

Corresponding author：

GE Long, Email: gelong2009@163.com

Keywords：

Network meta-analysis; CINeMA; Quality of evidence body

DOI：

10.7507/1672-2531.202002172

Video：

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Abstract Full text Figures/Tables Video References Cited by

It is a complex and time-consuming process to rate the certainty (quality) of evidence from network meta-analysis. This paper aims to introduce a web application for rating the certainty of network meta-analysis-the CINeMA. CINeMA is based on GRADE framework and contribution matrix of network meta-analysis, which considers 6 domains including within-study bias, across-studies bias, indirectness, imprecision, heterogeneity, and incoherence.

Citation： WANG Qi, WANG Yunhua, LAI Honghao, WANG Qi, DING Guowu, TIAN Jinhui, CHEN Yaolong, YANG Kehu, WU Darong, GUO Xinfeng, YANG Lihong, GE Long. Rating the certainty of evidence from network meta-analysis: an introduction to CINeMA. Chinese Journal of Evidence-Based Medicine, 2020, 20(9): 1111-1116. doi: 10.7507/1672-2531.202002172 Copy

1.	王琪, 王建成, 潘蓓, 等. 网状Meta分析证据质量分级: GRADE方法学前沿与进展. 中国循证医学杂志, 2020, 20(8): 979-985.
2.	Salanti G, Del Giovane C, Chaimani A, <italic>et al</italic>. Evaluating the quality of evidence from a network meta-analysis. PLoS One, 2014, 9(7): e99682.
3.	Institute of Social and Preventive Medicine. CINeMA: confidence in network meta-analysis [Software]. Berne: University of Bern, 2017. Available at: www.cinema.ispm.unibe.ch.
4.	Stern JM, Simes RJ. Publication bias: evidence of delayed publication in a cohort study of clinical research projects. BMJ, 1997, 315(7109): 640-645.
5.	Dickersin K, Chalmers I. Recognizing, investigating and dealing with incomplete and biased reporting of clinical research: from Francis Bacon to the WHO. J R Soc Med, 2011, 104(12): 532-538.
6.	Turner EH, Matthews AM, Linardatos E, <italic>et al</italic>. Selective publication of antidepressant trials and its influence on apparent efficacy. N Engl J Med, 2008, 358(3): 252-260.
7.	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.
8.	Dias S, Welton NJ, Caldwell DM, <italic>et al</italic>. Checking consistency in mixed treatment comparison meta-analysis. Stat Med, 2010, 29(7-8): 932-944.
9.	Dias S, Welton NJ, Sutton AJ, <italic>et al</italic>. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Med Decis Making, 2013, 33(5): 641-656.
10.	White IR, Barrett JK, Jackson D, <italic>et al</italic>. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods, 2012, 3(2): 111-125.
11.	Higgins JP, Jackson D, Barrett JK, <italic>et al</italic>. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods, 2012, 3(2): 98-110.
12.	张慧芳, 马金沙, 李璐, 等. EGFR-TKIs一线治疗晚期非小细胞肺癌的有效性和安全性比较:网状Meta分析. 中华疾病控制杂志, 2020, 24(2): 210-216.
13.	侯年, 施凯, 李飞, 等. 三种剂量的茚达特罗治疗中重度COPD疗效和安全性的网状Meta分析. 中国循证医学杂志, 2019, 19(8): 924-931.
14.	邱潇, 杨立川, 李孜. 不同腹膜透析置管方式在发生导管功能障碍比较的网状Meta分析. 中国循证医学杂志, 2019, 19(6): 680-686.
15.	Bonner A, Alexander PE, Brignardello-Petersen R, <italic>et al</italic>. Applying GRADE to a network meta-analysis of antidepressants led to more conservative conclusions. J Clin Epidemiol, 2018, 102: 87-98.

1. 王琪, 王建成, 潘蓓, 等. 网状Meta分析证据质量分级: GRADE方法学前沿与进展. 中国循证医学杂志, 2020, 20(8): 979-985.
2. Salanti G, Del Giovane C, Chaimani A, <italic>et al</italic>. Evaluating the quality of evidence from a network meta-analysis. PLoS One, 2014, 9(7): e99682.
3. Institute of Social and Preventive Medicine. CINeMA: confidence in network meta-analysis [Software]. Berne: University of Bern, 2017. Available at: www.cinema.ispm.unibe.ch.
4. Stern JM, Simes RJ. Publication bias: evidence of delayed publication in a cohort study of clinical research projects. BMJ, 1997, 315(7109): 640-645.
5. Dickersin K, Chalmers I. Recognizing, investigating and dealing with incomplete and biased reporting of clinical research: from Francis Bacon to the WHO. J R Soc Med, 2011, 104(12): 532-538.
6. Turner EH, Matthews AM, Linardatos E, <italic>et al</italic>. Selective publication of antidepressant trials and its influence on apparent efficacy. N Engl J Med, 2008, 358(3): 252-260.
7. 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.
8. Dias S, Welton NJ, Caldwell DM, <italic>et al</italic>. Checking consistency in mixed treatment comparison meta-analysis. Stat Med, 2010, 29(7-8): 932-944.
9. Dias S, Welton NJ, Sutton AJ, <italic>et al</italic>. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Med Decis Making, 2013, 33(5): 641-656.
10. White IR, Barrett JK, Jackson D, <italic>et al</italic>. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods, 2012, 3(2): 111-125.
11. Higgins JP, Jackson D, Barrett JK, <italic>et al</italic>. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods, 2012, 3(2): 98-110.
12. 张慧芳, 马金沙, 李璐, 等. EGFR-TKIs一线治疗晚期非小细胞肺癌的有效性和安全性比较:网状Meta分析. 中华疾病控制杂志, 2020, 24(2): 210-216.
13. 侯年, 施凯, 李飞, 等. 三种剂量的茚达特罗治疗中重度COPD疗效和安全性的网状Meta分析. 中国循证医学杂志, 2019, 19(8): 924-931.
14. 邱潇, 杨立川, 李孜. 不同腹膜透析置管方式在发生导管功能障碍比较的网状Meta分析. 中国循证医学杂志, 2019, 19(6): 680-686.
15. Bonner A, Alexander PE, Brignardello-Petersen R, <italic>et al</italic>. Applying GRADE to a network meta-analysis of antidepressants led to more conservative conclusions. J Clin Epidemiol, 2018, 102: 87-98.

Chinese Journal of Evidence-Based Medicine

Rating the certainty of evidence from network meta-analysis: an introduction to CINeMA

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