Exploring the methodological quality and risk of bias in 200 systematic reviews: A comparative study of ROBIS and AMSTAR-2 tools
| dc.contributor.author | Lunny, Carole | |
| dc.contributor.author | Jain, Nityanand | |
| dc.contributor.author | Nazari, Tina | |
| dc.contributor.author | Kosaner-Kließ, Melodi | |
| dc.contributor.author | Santos, Lucas | |
| dc.contributor.author | Goodman, Ian | |
| dc.contributor.author | Osman, Alaa A. M. | |
| dc.contributor.author | Berrone, Stefano | |
| dc.contributor.author | Dadam, Mohammad Najm | |
| dc.contributor.author | Brenna, Connor T. A. | |
| dc.contributor.author | Hussein, Heba | |
| dc.contributor.author | Dahdal, Gioia | |
| dc.contributor.author | Cespedes, Diana A. | |
| dc.contributor.author | Ferri, Nicola | |
| dc.contributor.author | Kanji, Salmaan | |
| dc.contributor.author | Chi, Yuan | |
| dc.contributor.author | Pieper, Dawid | |
| dc.contributor.author | Shea, Beverly | |
| dc.contributor.author | Parker, Amanda | |
| dc.contributor.author | Neupane, Dipika | |
| dc.contributor.author | Khan, Paul A. | |
| dc.contributor.author | Rangira, Daniella | |
| dc.contributor.author | Kolaski, Kat | |
| dc.contributor.author | Ridley, Ben | |
| dc.contributor.author | Berour, Amina | |
| dc.contributor.author | Sun, Kevin | |
| dc.contributor.author | Rad, Radin Hamidi | |
| dc.contributor.author | Ouyang, Zihui | |
| dc.contributor.author | Reid, Emma K. | |
| dc.contributor.author | Pérez-Neri, Iván | |
| dc.contributor.author | Barakat, Sanabel O. | |
| dc.contributor.author | Bargeri, Silvia | |
| dc.contributor.author | Gianola, Silvia | |
| dc.contributor.author | Castellini, Greta | |
| dc.contributor.author | Whitelaw, Sera | |
| dc.contributor.author | Stevens, Adrienne | |
| dc.contributor.author | Kolekar, Shailesh B. | |
| dc.contributor.author | Wong, Kristy | |
| dc.contributor.author | Major, Paityn | |
| dc.contributor.author | Bagheri, Ebrahim | |
| dc.contributor.author | Tricco, Andrea C. | |
| dc.date.accessioned | 2025-11-04T13:07:30Z | |
| dc.date.issued | 2025-10-27 | |
| dc.description | Stefano Berrone - ORCID: 0009-0005-3789-6466 https://orcid.org/0009-0005-3789-6466 | |
| dc.description.abstract | AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews, version 2) and ROBIS are tools used to assess the methodological quality and the risk of bias in a systematic review (SR). We applied AMSTAR-2 and ROBIS to a sample of 200 published SRs. We investigated the overlap in their methodological constructs, responses by item, and overall, percentage agreement, direction of effect, and timing of assessments. AMSTAR-2 contains 16 items and ROBIS 24 items. Three items in AMSTAR-2 and nine in ROBIS did not overlap in construct. Of the 200 SRs, 73% were low or critically low quality using AMSTAR-2, and 81% had a high risk of bias using ROBIS. The median time to complete AMSTAR-2 and ROBIS was 51 and 64 minutes, respectively. When assessment times were calibrated to the number of items in each tool, each item took an average of 3.2 minutes per item for AMSTAR-2 compared to 2.7 minutes for ROBIS. Nine percent of SRs had opposing ratings (i.e., AMSTAR-2 was high quality while ROBIS was high risk). In both tools, three-quarters of items showed more than 70% agreement between raters after extensive training and piloting. AMSTAR-2 and ROBIS provide complementary rather than interchangeable assessments of systematic reviews. AMSTAR-2 may be preferable when efficiency is prioritized and methodological rigour is the focus, whereas ROBIS offers a deeper examination of potential biases and external validity. Given the widespread reliance on systematic reviews for policy and practice, selecting the appropriate appraisal tool remains crucial. Future research should explore strategies to integrate the strengths of both instruments while minimizing the burden on assessors. | |
| dc.description.ispublished | aheadofprint | |
| dc.description.sponsorship | Support from the University of Toronto’s Dalla Lana School of Public Health and the Temerity Centre for Artificial Intelligence Research and Education in Medicine was received through an AI for Population Health and Health Systems Implementation Grant (2023; 150,000).FundingfromtheUniversityofTorontoSummerUndergraduateDataScience(SUDS)OpportunitiesProgramme(7,500) was received to hire a data science student to create code for the machine learning model in May 2023. We also received web support from nine students in the University of Toronto’s CSC301 Introduction to Software Engineering course (June–August 2023) to create a website to host our dataset and future WISEST AI tool to assess SRs using AMSTAR-2 and ROBIS. The Software Engineering course provides an internship project for students to support building websites such as our own. RHR received PhD funding from NSERC. E.B. holds a Tier 2 Canada Research Chair in social information retrieval and an NSERC Industrial Research Chair in social media analytics. AT currently holds a Tier 1 Canada Research Chair in Knowledge Synthesis for Knowledge Users. LHCCS received funding from the São Paulo Research Foundation (FAPESP) for his MSc scholarship (Grant No. 2022/14200-0) and international research internship (Grant No. 2024/06357-2). CTAB receives salary support from the Vanier Canada Graduate Scholarship, as well as operating support from the Canadian Anesthesia Research Foundation. | |
| dc.description.status | aheadofprint | |
| dc.description.uri | https://doi.org/10.1017/rsm.2025.10032 | |
| dc.identifier.citation | Lunny, C., Jain, N., Nazari, T., Kosaner-Kließ, M., Santos, L., Goodman, I., Osman, A.A.M., Berrone, S., Dadam, M.N., Brenna, C.T.A., Hussein, H., Dahdal, G., Cespedes A., D., Ferri, N., Kanji, S., Chi, Y., Pieper, D., Shea, B., Parker, A., Neupane, D., Khan, P.A., Rangira, D., Kolaski, K., Ridley, B., Berour, A., Sun, K., Hamidi Rad, R., Ouyang, Z., Reid, E.K., Pérez-Neri, I., Barakat, S.O., Bargeri, S., Gianola, S., Castellini, G., Whitelaw, S., Stevens, A., Kolekar, S.B., Wong, K., Major, P., Bagheri, E. and Tricco, A.C. (2025) ‘Exploring the methodological quality and risk of bias in 200 systematic reviews: A comparative study of ROBIS and AMSTAR-2 tools’, Research Synthesis Methods, pp. 1–30. Available at: https://doi.org/10.1017/rsm.2025.10032. | |
| dc.identifier.doi | 10.1017/rsm.2025.10032 | |
| dc.identifier.issn | 1759-2879 | |
| dc.identifier.issn | 1759-2887 | |
| dc.identifier.uri | https://eresearch.qmu.ac.uk/handle/20.500.12289/14493 | |
| dc.identifier.uri | https://doi.org/10.1017/rsm.2025.10032 | |
| dc.language.iso | en | |
| dc.publisher | Cambridge University Press (CUP) | |
| dc.relation.ispartof | Research Synthesis Methods | |
| dc.rights | © The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Research Synthesis Methodology This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. | |
| dc.rights.license | CC BY 4.0 Attribution 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0 | |
| dc.subject | AMSTAR 2.0 | |
| dc.subject | Bias | |
| dc.subject | Critical Appraisal | |
| dc.subject | Quality | |
| dc.subject | Robis | |
| dc.subject | Systematic Reviews | |
| dc.title | Exploring the methodological quality and risk of bias in 200 systematic reviews: A comparative study of ROBIS and AMSTAR-2 tools | |
| dc.type | Article | |
| dcterms.accessRights | public | |
| qmu.author | Berrone, Stefano |