Risk of bias due to missing evidence (ROB-ME): a Chinese interpretation_Chinese Journal of Evidence-Based Medicine

Authors：

DENG Xiangjin ¹ , HU Yupeng ¹ , GAO Ge ¹ , LIU Wei ¹ , ZENG Wei ¹ , CHEN Jinlong ¹ ,  TANG Wei ¹ ,  LIU Chang ^1,2

1. State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery & "Medicine+Manufacturing" Center , West China Hospital of Stomatology, Sichuan University, Chengdu 610041, P. R. China;
2. Department of Information Management & Department of Dental Informatics & Department of Evidence-Based Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

TANG Wei, Email: mydrtw@vip.sina.com; LIU Chang, Email: liu_chang_92@sina.com

Keywords：

Bias due to missing evidence; Non-reporting bias; Publication bias; Reporting bias; Risk of bias; Systematic review; Data synthesis; Meta-analysis

DOI：

10.7507/1672-2531.202303107

Video：

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This paper introduces the main contents of ROB-ME (Risk Of Bias due to Missing Evidence), including backgrounds, scope of the tool, signal questions and the operation process. The ROB-ME tool has the advantages of clear logic, complete details, simple operation and good applicability. The ROB-ME tool offers considerable advantages for assessing the risk of non-reporting biases and will be useful to researchers, thus being worth popularizing and applying.

Citation： DENG Xiangjin, HU Yupeng, GAO Ge, LIU Wei, ZENG Wei, CHEN Jinlong, TANG Wei, LIU Chang. Risk of bias due to missing evidence (ROB-ME): a Chinese interpretation. Chinese Journal of Evidence-Based Medicine, 2023, 23(7): 843-848. doi: 10.7507/1672-2531.202303107 Copy

1.	Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ, 2019, 366: l4898.
2.	Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ, 2016, 355: i4919.
3.	Morgan RL, Thayer KA, Santesso N, et al. Evaluation of the risk of bias in non-randomized studies of interventions (ROBINS-I) and the 'target experiment' concept in studies of exposures: rationale and preliminary instrument development. Environ Int, 2018, 120: 382-387.
4.	Guyatt GH, Oxman AD, Vist G, et al. GRADE guidelines: 4. Rating the quality of evidence-study limitations (risk of bias). J Clin Epidemiol, 2011, 64(4): 407-415.
5.	Schünemann HJ, Cuello C, Akl EA, et al. GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence. J Clin Epidemiol, 2019, 111: 105-114.
6.	Guyatt GH, Oxman AD, Montori V, et al. GRADE guidelines: 5. Rating the quality of evidence-publication bias. J Clin Epidemiol, 2011, 64(12): 1277-1282.
7.	Page MJ, Sterne JAC, Boutron I, et al. Risk of bias due to missing evidence (ROB-ME): a new tool for assessing risk of non-reporting biases in evidence syntheses. 2020.
8.	Song F, Parekh S, Hooper L, et al. Dissemination and publication of research findings: an updated review of related biases. Health Technol Assess, 2010, 14(8): iii, ix-xi, 1x-193x.
9.	Walitt B, Urrútia G, Nishishinya MB, et al. Selective serotonin reuptake inhibitors for fibromyalgia syndrome. Cochrane Database Syst Rev, 2015, (6): CD011735.
10.	Egger M, Davey Smith G, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ, 1997, 315(7109): 629-634.
11.	Sterne JA, Sutton AJ, Ioannidis JP, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ, 2011, 343: d4002.

1. Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ, 2019, 366: l4898.
2. Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ, 2016, 355: i4919.
3. Morgan RL, Thayer KA, Santesso N, et al. Evaluation of the risk of bias in non-randomized studies of interventions (ROBINS-I) and the 'target experiment' concept in studies of exposures: rationale and preliminary instrument development. Environ Int, 2018, 120: 382-387.
4. Guyatt GH, Oxman AD, Vist G, et al. GRADE guidelines: 4. Rating the quality of evidence-study limitations (risk of bias). J Clin Epidemiol, 2011, 64(4): 407-415.
5. Schünemann HJ, Cuello C, Akl EA, et al. GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence. J Clin Epidemiol, 2019, 111: 105-114.
6. Guyatt GH, Oxman AD, Montori V, et al. GRADE guidelines: 5. Rating the quality of evidence-publication bias. J Clin Epidemiol, 2011, 64(12): 1277-1282.
7. Page MJ, Sterne JAC, Boutron I, et al. Risk of bias due to missing evidence (ROB-ME): a new tool for assessing risk of non-reporting biases in evidence syntheses. 2020.
8. Song F, Parekh S, Hooper L, et al. Dissemination and publication of research findings: an updated review of related biases. Health Technol Assess, 2010, 14(8): iii, ix-xi, 1x-193x.
9. Walitt B, Urrútia G, Nishishinya MB, et al. Selective serotonin reuptake inhibitors for fibromyalgia syndrome. Cochrane Database Syst Rev, 2015, (6): CD011735.
10. Egger M, Davey Smith G, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ, 1997, 315(7109): 629-634.
11. Sterne JA, Sutton AJ, Ioannidis JP, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ, 2011, 343: d4002.

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