Home > Research > Publications & Outputs > A risk of bias instrument for non-randomized st...

Electronic data

Links

Text available via DOI:

View graph of relations

A risk of bias instrument for non-randomized studies of exposures: A users' guide to its application in the context of GRADE

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

A risk of bias instrument for non-randomized studies of exposures: A users' guide to its application in the context of GRADE. / Morgan, Rebecca L.; Thayer, Kristina A.; Santesso, Nancy et al.
In: Environment International, Vol. 122, 01.2019, p. 168-184.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Morgan, RL, Thayer, KA, Santesso, N, Holloway, AC, Blain, R, Eftim, SE, Goldstone, AE, Ross, P, Ansari, M, Akl, E, Filippini, T, Hansell, A, Meerpohl, JJ, Mustafa, RA, Verbeek, J, Vinceti, M, Whaley, PA, Schunemann, HJ & GRADE Working Group 2019, 'A risk of bias instrument for non-randomized studies of exposures: A users' guide to its application in the context of GRADE', Environment International, vol. 122, pp. 168-184. https://doi.org/10.1016/j.envint.2018.11.004

APA

Morgan, R. L., Thayer, K. A., Santesso, N., Holloway, A. C., Blain, R., Eftim, S. E., Goldstone, A. E., Ross, P., Ansari, M., Akl, E., Filippini, T., Hansell, A., Meerpohl, J. J., Mustafa, R. A., Verbeek, J., Vinceti, M., Whaley, P. A., Schunemann, H. J., & GRADE Working Group (2019). A risk of bias instrument for non-randomized studies of exposures: A users' guide to its application in the context of GRADE. Environment International, 122, 168-184. https://doi.org/10.1016/j.envint.2018.11.004

Vancouver

Morgan RL, Thayer KA, Santesso N, Holloway AC, Blain R, Eftim SE et al. A risk of bias instrument for non-randomized studies of exposures: A users' guide to its application in the context of GRADE. Environment International. 2019 Jan;122:168-184. Epub 2018 Nov 22. doi: 10.1016/j.envint.2018.11.004

Author

Morgan, Rebecca L. ; Thayer, Kristina A. ; Santesso, Nancy et al. / A risk of bias instrument for non-randomized studies of exposures : A users' guide to its application in the context of GRADE. In: Environment International. 2019 ; Vol. 122. pp. 168-184.

Bibtex

@article{2cff7a0e30da4700b1823a8c35de78e3,
title = "A risk of bias instrument for non-randomized studies of exposures: A users' guide to its application in the context of GRADE",
abstract = "The objective of this paper is to explain how to apply, interpret, and present the results of a new instrument to assess the risk of bias (RoB) in non-randomized studies (NRS) dealing with effects of environmental exposures on health outcomes. This instrument is modeled on the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) instrument. The RoB instrument for NRS of exposures assesses RoB along a standardized comparison to a randomized target experiment, instead of the study-design directed RoB approach. We provide specific guidance for the integral steps of developing a research question and target experiment, distinguishing issues of indirectness from RoB, making individual-study judgments, and performing and interpreting sensitivity analyses for RoB judgments across a body of evidence. Also, we present an approach for integrating the RoB assessments within the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework to assess the certainty of the evidence in the systematic review. Finally, we guide the reader through an overall assessment to support the rating of all domains that determine the certainty of a body of evidence using the GRADE approach.",
keywords = "Risk of bias, Environmental health, GRADE, Non-randomized studies, Study limitations, ROBINS",
author = "Morgan, {Rebecca L.} and Thayer, {Kristina A.} and Nancy Santesso and Holloway, {Alison C.} and Robyn Blain and Eftim, {Sorina E.} and Goldstone, {Alexandra E.} and Pam Ross and Mohammed Ansari and Elie Akl and Tommaso Filippini and Anna Hansell and Meerpohl, {Joerg J.} and Mustafa, {Reem A.} and Jos Verbeek and Marco Vinceti and Whaley, {Paul Alexander} and Schunemann, {Holger J.} and {GRADE Working Group}",
year = "2019",
month = jan,
doi = "10.1016/j.envint.2018.11.004",
language = "English",
volume = "122",
pages = "168--184",
journal = "Environment International",
issn = "0160-4120",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - A risk of bias instrument for non-randomized studies of exposures

T2 - A users' guide to its application in the context of GRADE

AU - Morgan, Rebecca L.

AU - Thayer, Kristina A.

AU - Santesso, Nancy

AU - Holloway, Alison C.

AU - Blain, Robyn

AU - Eftim, Sorina E.

AU - Goldstone, Alexandra E.

AU - Ross, Pam

AU - Ansari, Mohammed

AU - Akl, Elie

AU - Filippini, Tommaso

AU - Hansell, Anna

AU - Meerpohl, Joerg J.

AU - Mustafa, Reem A.

AU - Verbeek, Jos

AU - Vinceti, Marco

AU - Whaley, Paul Alexander

AU - Schunemann, Holger J.

AU - GRADE Working Group

PY - 2019/1

Y1 - 2019/1

N2 - The objective of this paper is to explain how to apply, interpret, and present the results of a new instrument to assess the risk of bias (RoB) in non-randomized studies (NRS) dealing with effects of environmental exposures on health outcomes. This instrument is modeled on the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) instrument. The RoB instrument for NRS of exposures assesses RoB along a standardized comparison to a randomized target experiment, instead of the study-design directed RoB approach. We provide specific guidance for the integral steps of developing a research question and target experiment, distinguishing issues of indirectness from RoB, making individual-study judgments, and performing and interpreting sensitivity analyses for RoB judgments across a body of evidence. Also, we present an approach for integrating the RoB assessments within the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework to assess the certainty of the evidence in the systematic review. Finally, we guide the reader through an overall assessment to support the rating of all domains that determine the certainty of a body of evidence using the GRADE approach.

AB - The objective of this paper is to explain how to apply, interpret, and present the results of a new instrument to assess the risk of bias (RoB) in non-randomized studies (NRS) dealing with effects of environmental exposures on health outcomes. This instrument is modeled on the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) instrument. The RoB instrument for NRS of exposures assesses RoB along a standardized comparison to a randomized target experiment, instead of the study-design directed RoB approach. We provide specific guidance for the integral steps of developing a research question and target experiment, distinguishing issues of indirectness from RoB, making individual-study judgments, and performing and interpreting sensitivity analyses for RoB judgments across a body of evidence. Also, we present an approach for integrating the RoB assessments within the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework to assess the certainty of the evidence in the systematic review. Finally, we guide the reader through an overall assessment to support the rating of all domains that determine the certainty of a body of evidence using the GRADE approach.

KW - Risk of bias

KW - Environmental health

KW - GRADE

KW - Non-randomized studies

KW - Study limitations

KW - ROBINS

U2 - 10.1016/j.envint.2018.11.004

DO - 10.1016/j.envint.2018.11.004

M3 - Journal article

VL - 122

SP - 168

EP - 184

JO - Environment International

JF - Environment International

SN - 0160-4120

ER -