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
Copyright © 2020. Published by Elsevier GmbH..
OBJECTIVE: To provide guidance on how systematic review authors, guideline developers, and health technology assessment practitioners should approach the use of the risk of bias in nonrandomized studies of interventions (ROBINS-I) tool as a part of GRADE's certainty rating process.
STUDY DESIGN AND SETTING: The study design and setting comprised iterative discussions, testing in systematic reviews, and presentation at GRADE working group meetings with feedback from the GRADE working group.
RESULTS: We describe where to start the initial assessment of a body of evidence with the use of ROBINS-I and where one would anticipate the final rating would end up. The GRADE accounted for issues that mitigate concerns about confounding and selection bias by introducing the upgrading domains: large effects, dose-effect relations, and when plausible residual confounders or other biases increase certainty. They will need to be considered in an assessment of a body of evidence when using ROBINS-I.
CONCLUSION: The use of ROBINS-I in GRADE assessments may allow for a better comparison of evidence from randomized controlled trials (RCTs) and nonrandomized studies (NRSs) because they are placed on a common metric for risk of bias. Challenges remain, including appropriate presentation of evidence from RCTs and NRSs for decision-making and how to optimally integrate RCTs and NRSs in an evidence assessment.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:150-152 |
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| Enthalten in: |
Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen - 150-152(2020) vom: 01. Apr., Seite 124-133 |
| Sprache: |
Deutsch |
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| Weiterer Titel: |
GRADE-Leitlinien: 18. Wie ROBINS-I und andere Instrumente zur Einschätzung des Risikos für Bias von nicht-randomisierten Studien verwendet werden sollten, um die Vertrauenswürdigkeit eines Evidenzkörpers zu bewerten |
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| Beteiligte Personen: |
Morche, Johannes [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 24.09.2020 Date Revised 24.09.2020 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.zefq.2019.11.003 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 0 | |a GRADE guidelines |b 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 |
| 246 | 3 | 3 | |a GRADE-Leitlinien: 18. Wie ROBINS-I und andere Instrumente zur Einschätzung des Risikos für Bias von nicht-randomisierten Studien verwendet werden sollten, um die Vertrauenswürdigkeit eines Evidenzkörpers zu bewerten |
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| 500 | |a Date Revised 24.09.2020 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020. Published by Elsevier GmbH. | ||
| 520 | |a OBJECTIVE: To provide guidance on how systematic review authors, guideline developers, and health technology assessment practitioners should approach the use of the risk of bias in nonrandomized studies of interventions (ROBINS-I) tool as a part of GRADE's certainty rating process | ||
| 520 | |a STUDY DESIGN AND SETTING: The study design and setting comprised iterative discussions, testing in systematic reviews, and presentation at GRADE working group meetings with feedback from the GRADE working group | ||
| 520 | |a RESULTS: We describe where to start the initial assessment of a body of evidence with the use of ROBINS-I and where one would anticipate the final rating would end up. The GRADE accounted for issues that mitigate concerns about confounding and selection bias by introducing the upgrading domains: large effects, dose-effect relations, and when plausible residual confounders or other biases increase certainty. They will need to be considered in an assessment of a body of evidence when using ROBINS-I | ||
| 520 | |a CONCLUSION: The use of ROBINS-I in GRADE assessments may allow for a better comparison of evidence from randomized controlled trials (RCTs) and nonrandomized studies (NRSs) because they are placed on a common metric for risk of bias. Challenges remain, including appropriate presentation of evidence from RCTs and NRSs for decision-making and how to optimally integrate RCTs and NRSs in an evidence assessment | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Systematic Review | |
| 650 | 4 | |a Certainty of the evidence | |
| 650 | 4 | |a GRADE | |
| 650 | 4 | |a Nicht-randomisierte Studien | |
| 650 | 4 | |a Nonrandomized studies | |
| 650 | 4 | |a Quality of evidence | |
| 650 | 4 | |a Qualität der Evidenz | |
| 650 | 4 | |a ROBINS | |
| 650 | 4 | |a Risiko für Bias | |
| 650 | 4 | |a Risk of bias | |
| 650 | 4 | |a Vertrauenswürdigkeit der Evidenz | |
| 700 | 1 | |a Freitag, Simone |e verfasserin |4 aut | |
| 700 | 1 | |a Hoffmann, Frauke |e verfasserin |4 aut | |
| 700 | 1 | |a Rissling, Olesja |e verfasserin |4 aut | |
| 700 | 1 | |a Langer, Gero |e verfasserin |4 aut | |
| 700 | 1 | |a Nußbaumer-Streit, Barbara |e verfasserin |4 aut | |
| 700 | 1 | |a Toews, Ingrid |e verfasserin |4 aut | |
| 700 | 1 | |a Gartlehner, Gerald |e verfasserin |4 aut | |
| 700 | 1 | |a Meerpohl, Jörg J |e verfasserin |4 aut | |
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