Evidence Synthesis Guide : Risk of Bias by Study Design

This guide provides information and resources which may be helpful when undertaking a systematic review, scoping review or other type of evidence synthesis review.

Risk of Bias of Individual Studies

““Assessment of risk of bias is a key step that informs many other steps and decisions made in conducting systematic reviews. It plays an important role in the final assessment of the strength of the evidence.”1 

Risk of Bias by Study Design (featured tools)

References & Recommended Reading

1.    Viswanathan, M., Patnode, C. D., Berkman, N. D., Bass, E. B., Chang, S., Hartling, L., ... & Kane, R. L. (2018). Recommendations for assessing the risk of bias in systematic reviews of health-care interventionsJournal of clinical epidemiology97, 26-34.

2.     Kolaski, K., Logan, L. R., & Ioannidis, J. P. (2024). Guidance to best tools and practices for systematic reviewsBritish Journal of Pharmacology181(1), 180-210

3.     Fowkes FG, Fulton PM. Critical appraisal of published research: introductory guidelines. BMJ (Clinical research ed). 1991;302(6785):1136-1140.

4.     Shea BJ, Reeves BC, Wells G, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ (Clinical research ed). 2017;358:j4008.

5..     Whiting P, Savovic J, Higgins JPT, et al. ROBIS: A new tool to assess risk of bias in systematic reviews was developed. Journal of clinical epidemiology. 2016;69:225-234.

6.     Sterne JAC, Savovic J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ (Clinical research ed). 2019;366:l4898.

7.     Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 Explanation and Elaboration: Updated guidelines for reporting parallel group randomised trials. Journal of clinical epidemiology. 2010;63(8):e1-37.

8..    Sterne JA, Hernan MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ (Clinical research ed). 2016;355:i4919.

9.    Downes MJ, Brennan ML, Williams HC, Dean RS. Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS). BMJ open. 2016;6(12):e011458.

10.   Guo B, Moga C, Harstall C, Schopflocher D. A principal component analysis is conducted for a case series quality appraisal checklist. Journal of clinical epidemiology. 2016;69:199-207.e192.

11.   Murad MH, Sultan S, Haffar S, Bazerbachi F. Methodological quality and synthesis of case series and case reports. BMJ evidence-based medicine. 2018;23(2):60-63.

12.   Slim K, Nini E, Forestier D, Kwiatkowski F, Panis Y, Chipponi J. Methodological index for non-randomized studies (MINORS): development and validation of a new instrument. ANZ journal of surgery. 2003;73(9):712-716.

13.   Whiting PF, Rutjes AWS, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Annals of internal medicine. 2011;155(8):529-536.

14.   Bossuyt PM, Reitsma JB, Bruns DE, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ (Clinical research ed). 2015;351:h5527.

15.   Hooijmans CR, Rovers MM, de Vries RBM, Leenaars M, Ritskes-Hoitinga M, Langendam MW. SYRCLE's risk of bias tool for animal studies. BMC medical research methodology. 2014;14:43.

16.   Percie du Sert N, Ahluwalia A, Alam S, et al. Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0. PLoS biology. 2020;18(7):e3000411.

17.   O'Connor AM, Sargeant JM. Critical appraisal of studies using laboratory animal models. ILAR journal. 2014;55(3):405-417.