Evidence intelligent synthesis and grading: development and validation of AutoMeta_Chinese Journal of Evidence-Based Medicine

Authors：

TIAN Chen ^1,2,3 , YAN Yilong ^1,2,3 , WANG Yong ⁴ , TONG Bo ¹ , TIAN Jinhui ^3,5 ,  GE Long ^1,2,3

1. Department of Health Policy and Management, School of Public Health, Lanzhou University, Lanzhou 730000, P. R. China;
2. Evidence-Based Social Science Research Center, Lanzhou University, Lanzhou 730000, P. R. China;
3. Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, P. R. China;
4. First Clinical Medical College, Lanzhou University, Lanzhou 730000, P. R. China;
5. Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P. R. China;

Corresponding author：

GE Long, Email: gelong2009@163.com

Keywords：

Evidence intelligent synthesis and grading; AutoMeta; Meta-analysis; Grading of certainty of evidence

DOI：

10.7507/1672-2531.202309023

Video：

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AutoMeta is a semi-automated, interactive, user-friendly online platform developed by Chinese scholars with independent intellectual property rights. This platform is designed to assist users in completing pairwise meta-analysis, inverse variance meta-analysis, network meta-analysis, and diagnostic test accuracy meta-analysis and use the GRADE method to achieve automatic grading of certainty of evidence. Nowadays, the AutoMeta platform can conduct the pairwise meta-analysis and inverse variance meta-analysis, as well as the automatic grading of certainty of evidence for pairwise meta-analysis. This article introduces the platform to users in terms of its development techniques, operation methods and verification of the accuracy of results, aiming to assist researchers to conduct systematic reviews quickly.

Citation： TIAN Chen, YAN Yilong, WANG Yong, TONG Bo, TIAN Jinhui, GE Long. Evidence intelligent synthesis and grading: development and validation of AutoMeta. Chinese Journal of Evidence-Based Medicine, 2024, 24(4): 459-465. doi: 10.7507/1672-2531.202309023 Copy

1.	张天嵩, 李博, 钟文昭. 实用循证医学方法学(第3版). 长沙: 中南大学出版社, 2021.
2.	Evrenoglou T, Boutron I, Seitidis G, et al. metaCOVID: a web-application for living meta-analyses of COVID-19 trials. Res Synth Methods, 2023, 14(3): 479-488.
3.	田晨, 杨秋玉, 孙铭谣, 等. 快速动态循证指南制订方法. 协和医学杂志, 2024, 15(1): 183-191.
4.	田晨, 孙铭谣, 李颖, 等. 快速动态循证要览制订方法与流程. 中国循证医学杂志, 2023, 23(4): 450-456.
5.	田晨, 刘佳宁, 田金徽, 等. 动态系统评价制作方法与流程. 中国全科医学杂志, 2024.
6.	葛龙, 秦钰, 宋忠阳, 等. 新型冠状病毒感染恢复期常见症中西医结合管理循证实践指南. 兰州大学学报(医学版), 2023, 49(5): 28-40, 46.
7.	孙铭谣, 田晨, 李颖, 等. 药物治疗新型冠状病毒感染快速动态循证要览. 中国循证医学杂志, 2023, 23(7): 745-754.
8.	赖鸿皓, 王浙, 李滢, 等. 中医药多元证据整合方法学MERGE框架. 协和医学杂志, 2024, 15(1): 172-182.
9.	韩俊瑞, 袁艳红. Nginx在教务管理系统中的应用研究. 信息技术与信息化, 2022, (4): 174-176, 180.
10.	黄俊, 陈曦, 吴涛. 基于Docker的网络仿真平台设计与实现. 现代信息科技, 2023, 7(4): 1-5, 9.
11.	Jia L, Yao W, Jiang Y, et al. Development of interactive biological web applications with R/Shiny. Brief Bioinform, 2022, 23(1): bbab415.
12.	Brozek JL, Akl EA, Alonso-Coello P, et al. Grading quality of evidence and strength of recommendations in clinical practice guidelines. Part 1 of 3. An overview of the GRADE approach and grading quality of evidence about interventions. Allergy, 2009, 64(5): 669-677.
13.	Wang Q, Xiao Y, Guo T, et al. The use of GRADE approach in Cochrane reviews of TCM was insufficient: a cross-sectional survey. J Clin Epidemiol, 2022, 142: 1-9.
14.	Gordon Guyatt, Andrew D. Oxman, Regina Kunz, 等. GRADE指南: Ⅷ. 证据质量评价-间接性. 中国循证医学杂志, 2011, 11(12): 1452-1458.
15.	Gordon Guyatt, Andrew D. Oxman, Regina Kunz, 等. GRADE指南: Ⅵ. 证据质量评价-不精确性(随机误差). 中国循证医学杂志, 2011, 11(12): 1435-1443.
16.	Gao Y, Ge L, Liu M, et al. Comparative efficacy and acceptability of cognitive behavioral therapy delivery formats for insomnia in adults: a systematic review and network meta-analysis. Sleep Med Rev, 2022, 64: 101648.
17.	Pan B, Ge L, Lai H, et al. The comparative effectiveness and safety of insomnia drugs: a systematic review and network meta-analysis of 153 randomized trials. Drugs, 2023, 83(7): 587-619.
18.	杨克虎. 循证社会科学的产生、发展与未来. 图书与情报, 2018, (3): 1-10.
19.	Guyatt G, Oxman AD, Sultan S, et al. GRADE guidelines: 11. Making an overall rating of confidence in effect estimates for a single outcome and for all outcomes. J Clin Epidemiol, 2013, 66(2): 151-157.

1. 张天嵩, 李博, 钟文昭. 实用循证医学方法学(第3版). 长沙: 中南大学出版社, 2021.
2. Evrenoglou T, Boutron I, Seitidis G, et al. metaCOVID: a web-application for living meta-analyses of COVID-19 trials. Res Synth Methods, 2023, 14(3): 479-488.
3. 田晨, 杨秋玉, 孙铭谣, 等. 快速动态循证指南制订方法. 协和医学杂志, 2024, 15(1): 183-191.
4. 田晨, 孙铭谣, 李颖, 等. 快速动态循证要览制订方法与流程. 中国循证医学杂志, 2023, 23(4): 450-456.
5. 田晨, 刘佳宁, 田金徽, 等. 动态系统评价制作方法与流程. 中国全科医学杂志, 2024.
6. 葛龙, 秦钰, 宋忠阳, 等. 新型冠状病毒感染恢复期常见症中西医结合管理循证实践指南. 兰州大学学报(医学版), 2023, 49(5): 28-40, 46.
7. 孙铭谣, 田晨, 李颖, 等. 药物治疗新型冠状病毒感染快速动态循证要览. 中国循证医学杂志, 2023, 23(7): 745-754.
8. 赖鸿皓, 王浙, 李滢, 等. 中医药多元证据整合方法学MERGE框架. 协和医学杂志, 2024, 15(1): 172-182.
9. 韩俊瑞, 袁艳红. Nginx在教务管理系统中的应用研究. 信息技术与信息化, 2022, (4): 174-176, 180.
10. 黄俊, 陈曦, 吴涛. 基于Docker的网络仿真平台设计与实现. 现代信息科技, 2023, 7(4): 1-5, 9.
11. Jia L, Yao W, Jiang Y, et al. Development of interactive biological web applications with R/Shiny. Brief Bioinform, 2022, 23(1): bbab415.
12. Brozek JL, Akl EA, Alonso-Coello P, et al. Grading quality of evidence and strength of recommendations in clinical practice guidelines. Part 1 of 3. An overview of the GRADE approach and grading quality of evidence about interventions. Allergy, 2009, 64(5): 669-677.
13. Wang Q, Xiao Y, Guo T, et al. The use of GRADE approach in Cochrane reviews of TCM was insufficient: a cross-sectional survey. J Clin Epidemiol, 2022, 142: 1-9.
14. Gordon Guyatt, Andrew D. Oxman, Regina Kunz, 等. GRADE指南: Ⅷ. 证据质量评价-间接性. 中国循证医学杂志, 2011, 11(12): 1452-1458.
15. Gordon Guyatt, Andrew D. Oxman, Regina Kunz, 等. GRADE指南: Ⅵ. 证据质量评价-不精确性(随机误差). 中国循证医学杂志, 2011, 11(12): 1435-1443.
16. Gao Y, Ge L, Liu M, et al. Comparative efficacy and acceptability of cognitive behavioral therapy delivery formats for insomnia in adults: a systematic review and network meta-analysis. Sleep Med Rev, 2022, 64: 101648.
17. Pan B, Ge L, Lai H, et al. The comparative effectiveness and safety of insomnia drugs: a systematic review and network meta-analysis of 153 randomized trials. Drugs, 2023, 83(7): 587-619.
18. 杨克虎. 循证社会科学的产生、发展与未来. 图书与情报, 2018, (3): 1-10.
19. Guyatt G, Oxman AD, Sultan S, et al. GRADE guidelines: 11. Making an overall rating of confidence in effect estimates for a single outcome and for all outcomes. J Clin Epidemiol, 2013, 66(2): 151-157.

Chinese Journal of Evidence-Based Medicine

Evidence intelligent synthesis and grading: development and validation of AutoMeta

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