The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Reliability of the revised Cochrane risk-of-bias tool for randomised trials (RoB2) improved with the use of implementation instruction
Abstract
Objective to assess the inter-rater reliability (IRR) of the revised Cochrane risk-of-bias tool for randomised trials (RoB2). Methods Four raters independently applied RoB2 on critical and important outcomes of individually randomized parallel-group trials (RCTs) included in the Cochrane Review "Cannabis and cannabinoids for people with multiple sclerosis." We calculated Fleiss' Kappa for multiple raters and time to complete the tool; we performed a calibration exercise on five studies, then we developed an implementation document (ID) specific for the condition, and the intervention addressed by the review with instructions on how to answer the signalling questions of RoB2 tool. We measured IRR before and after the ID adoption RESULTS: Eighty results related to seven outcomes from 16 RCTs were assessed. During calibration exercise we reached no agreement for overall judgment (IRR -0.15); IRR for individual domains ranged from no agreement to fair. Mean time to apply the tool was 168.5 minutes per study. Time to complete the calibration exercise and develop the ID was about 40 hours. After the ID adoption ID, overall agreement increased to slightly (IRR 0.11) for the first five studies and moderate (IRR 0.42) for the remaining 11. IRR for individual domains ranged from no agreement to almost perfect. Mean time to apply the tool decreased to 41 minutes. Conclusion RoB2 tool is comprehensive but complex even for high experienced raters. The development of an ID specific for the…
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“Two different studies assessing the RoB 2 showed no significant inter‐rater reliability (IRR: −0.15) and slightly higher IRR (IRR: 0.16) for overall judgment.”
From The Cochrane risk of bias assessment tool 2 (RoB 2) versus the original RoB: A perspective on the pros and cons (2024) · cites this paper as [10]
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Nejadghaderi, S. A., Balibegloo, M., & Rezaei, N. (2024) · Health Science Reports · doi:10.1002/hsr2.2165 · Cited by 274
Huang, J., Lai, H., Zhao, W., Xia, D., Bai, C., Sun, M., Liu, J., Liu, J., Pan, B., Tian, J., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/70450 · Cited by 20
Sun, Y., Tian, Z., Ma, Y., Zhu, Q., Zheng, R., Guan, Y., & Zhang, X. (2025) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.13138 · Cited by 12
Metadata
- Authors
- Minozzi, S., Dwan, K., Borrelli, F., & Filippini, G.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 141
- Pages
- 99-105
- ISSN
- 0895-4356
- Cited by
- 150
- References
- 6
- Language
- en
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