A brief introduction of living systematic review_Chinese Journal of Evidence-Based Medicine

Authors：

XU Ji ,  DENG Hongyong

TCM Health Service Collaborative Innovation Center, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R.China;

Corresponding author：

DENG Hongyong, Email: denghy@shutcm.edu.cn

Keywords：

Systematic review; Living systematic review; Evidence updating

DOI：

10.7507/1672-2531.201911016

Video：

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Systematic review, a kind of higher-level evidence in evidence-based medicine, has a fully developed method system. However, it has some defects in the updating strategy. The living systematic review can effectively improve the timeliness of system reviews by periodically obtaining clinical evidences and updating the results of systematic reviews in a timely manner. This study briefly introduces the developing, characteristics, conditions, implementation and applications of living systematic reviews.

Citation： XU Ji, DENG Hongyong. A brief introduction of living systematic review. Chinese Journal of Evidence-Based Medicine, 2020, 20(2): 244-248. doi: 10.7507/1672-2531.201911016 Copy

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3.	Sampson M, Shojania KG, Garritty C, et al. Systematic reviews can be produced and published faster. J Clin Epidemiol, 2008, 61(6): 531-536.
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7.	Cochrane Community. Living systematic reviews. Available from: https://community.cochrane.org/review-production/production-resources/living-systematic-reviews#network.
8.	Elliott JH, Synnot A, Turner T, et al. Living systematic review: 1. Introductiond the why, what, when, and how. J Clin Epidemiol, 2017, 91: 23-30.
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10.	Simmonds M, Salanti G, McKenzie J, et al. Living systematic reviews: 3. Statistical methods for updating meta-analyses. J Clin Epidemiol, 2017, 91: 38-46.
11.	Akl EA, Meerpohl JJ, Elliott J, et al. Living systematic reviews: 4. Living guideline recommendations. J Clin Epidemiol, 2017, 91: 47-53.
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13.	O’Brien PC, Fleming TR. A multiple testing procedure for clinical trials. Biometrics, 1979, 35(3): 549-556.
14.	Whitehead J. A unified theory for sequential clinical trials. Stat Med, 1999, 18(17-18): 2271-2286.
15.	Shuster JJ, Neu J. A Pocock approach to sequential meta-analysis of clinical trials. Res Synth Methods, 2013, 4(3): 269-279.
16.	Hu M, Cappelleri JC, Lan KK. Applying the law of iterated logarithm to control type I error in cumulative meta-analysis of binary outcomes. Clin Trials, 2007, 4(4): 329-340.
17.	Thomas J, Noel-Storr A, Elliott J. Human and machine effort in Project Transform: how intersecting technologies will help us to identify studies reliably, efficiently and at scale. Cochrane Methods, 2016, 1: 37-41.
18.	Wallace BC, Noel-Storr A, Marshall IJ, et al. Identifying reports of randomized controlled trials (RCTs)via a hybrid machine learning and crowdsourcing approach. J Am Med Inform Assoc, 2017, 24(6): 1165-1168.
19.	Marshall I, Kuiper J, Wallace BC. RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials. J Am Med Inform Assoc, 2016, 23(1): 193-201.
20.	Tsafnat G, Dunn A, Glasziou P, et al. The automation of systematic reviews. BMJ, 2013, 346: f139.
21.	Tsafnat G, Glasziou P, Choong MK, et al. Systematic review automation technologies. Syst Rev, 2014, 3(1): 74.
22.	Synnot A, Gruen RL, Menon D, et al. A new approach to evidence synthesis in traumatic brain injury: a living systematic review. J Neurotrauma, 2016. Available from: https://www.liebertpub.com/doi/10.1089/neu.2015.4124.
23.	Badgett RG, Vindhyal M, Stirnaman JT, et al. A living systematic review of nebulized hypertonic saline for acute bronchiolitis in infants. JAMA Pediatr, 2015, 169(8): 788-789.
24.	Zhang L, Mendoza-Sassi RA, Wainwright C, et al. Nebulised hypertonic saline solution for acute bronchiolitis in infants. Cochrane Database Syst Rev, 2017, (12): CD006458.
25.	Hodder RK, Stacey FG, O'Brien KM, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev, 2018, (5): CD008552.

1. 王家良. 循证医学(第 2 版). 北京: 人民卫生出版社, 2010.
2. 张俊华, 商洪才, 张伯礼. 系统评价和 meta 分析质量的评价方法. 中西医结合学报, 2008, 6(4): 337-340.
3. Sampson M, Shojania KG, Garritty C, et al. Systematic reviews can be produced and published faster. J Clin Epidemiol, 2008, 61(6): 531-536.
4. Bragge P, Clavisi O, Turner T, et al. The global evidence mapping initiative: scoping research in broad topic areas. BMC Med Res Methodol, 2011, 11(92): 1-12.
5. Shojania KG, Sampson M, Ansari MT, et al. How quickly do systematic reviews go out of date? A survival analysis. Ann Intern Med, 2007, 147(4): 224-233.
6. Elliott JH, Turner T, Clavisi O, et al. Living systematic reviews: an emerging opportunity to narrow the evidence-practice gap. PLoS Med, 2014, 11(2): e1001603.
7. Cochrane Community. Living systematic reviews. Available from: https://community.cochrane.org/review-production/production-resources/living-systematic-reviews#network.
8. Elliott JH, Synnot A, Turner T, et al. Living systematic review: 1. Introductiond the why, what, when, and how. J Clin Epidemiol, 2017, 91: 23-30.
9. Thomas J, Noel-Storr A, Marshall I, et al. Living systematic reviews: 2. Combining human and machine effort. J Clin Epidemiol, 2017, 91: 31-37.
10. Simmonds M, Salanti G, McKenzie J, et al. Living systematic reviews: 3. Statistical methods for updating meta-analyses. J Clin Epidemiol, 2017, 91: 38-46.
11. Akl EA, Meerpohl JJ, Elliott J, et al. Living systematic reviews: 4. Living guideline recommendations. J Clin Epidemiol, 2017, 91: 47-53.
12. 王玉章, 赵翠莲, 邹晓玲. 牛津英汉高阶词典(第 7 版). 北京: 商务印书馆, 2009.
13. O’Brien PC, Fleming TR. A multiple testing procedure for clinical trials. Biometrics, 1979, 35(3): 549-556.
14. Whitehead J. A unified theory for sequential clinical trials. Stat Med, 1999, 18(17-18): 2271-2286.
15. Shuster JJ, Neu J. A Pocock approach to sequential meta-analysis of clinical trials. Res Synth Methods, 2013, 4(3): 269-279.
16. Hu M, Cappelleri JC, Lan KK. Applying the law of iterated logarithm to control type I error in cumulative meta-analysis of binary outcomes. Clin Trials, 2007, 4(4): 329-340.
17. Thomas J, Noel-Storr A, Elliott J. Human and machine effort in Project Transform: how intersecting technologies will help us to identify studies reliably, efficiently and at scale. Cochrane Methods, 2016, 1: 37-41.
18. Wallace BC, Noel-Storr A, Marshall IJ, et al. Identifying reports of randomized controlled trials (RCTs)via a hybrid machine learning and crowdsourcing approach. J Am Med Inform Assoc, 2017, 24(6): 1165-1168.
19. Marshall I, Kuiper J, Wallace BC. RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials. J Am Med Inform Assoc, 2016, 23(1): 193-201.
20. Tsafnat G, Dunn A, Glasziou P, et al. The automation of systematic reviews. BMJ, 2013, 346: f139.
21. Tsafnat G, Glasziou P, Choong MK, et al. Systematic review automation technologies. Syst Rev, 2014, 3(1): 74.
22. Synnot A, Gruen RL, Menon D, et al. A new approach to evidence synthesis in traumatic brain injury: a living systematic review. J Neurotrauma, 2016. Available from: https://www.liebertpub.com/doi/10.1089/neu.2015.4124.
23. Badgett RG, Vindhyal M, Stirnaman JT, et al. A living systematic review of nebulized hypertonic saline for acute bronchiolitis in infants. JAMA Pediatr, 2015, 169(8): 788-789.
24. Zhang L, Mendoza-Sassi RA, Wainwright C, et al. Nebulised hypertonic saline solution for acute bronchiolitis in infants. Cochrane Database Syst Rev, 2017, (12): CD006458.
25. Hodder RK, Stacey FG, O'Brien KM, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev, 2018, (5): CD008552.

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