GRADE Educational Resources
McMaster University GRADE Online Learning Modules: Find research work, training materials, and resources to support guideline development.
GRADE Book: Review the official publication of the GRADE working group, which is the most comprehensive and up-to-date resource on the GRADE approach.
GRADE Book on YouTube: Watch videos on concepts from the GRADE Book.
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GIN-McMaster Guideline Development Checklist: learn about the topics and items included in the GIN-McMaster Guideline Development Checklist
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GRADE notes 6: Three strategies to determine the clinically important thresholds for outcomes in evidence-based guideline development study presents three approaches that can be utilized to guide the establishment of three clinically important thresholds in the evaluation of the imprecision and inconsistency domains in certainty assessments of evidence and to inform judgement about the strength of the corresponding recommendation.
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Guideline organizations' guidance documents paper 1: Introduction
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Guideline organizations' guidance documents paper 2: priority setting
Guideline organizations’ guidance documents paper 3: contributions and authorship
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Guideline organizations’ guidance documents paper 4: interest-holder engagement
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Guideline organizations' guidance documents paper 5: conflict of interest and funding
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Guideline organizations’ guidance documents paper 6: adaptation of practice guidelines
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Guideline organizations’ guidance documents paper 7: updating practice guidelines
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Guideline organizations' guidance documents paper 8: considering equity
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Guideline organizations' guidance documents paper 9: co-operative approaches
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Core GRADE 1: overview of the Core GRADE approach
Core GRADE 2: choosing the target of certainty rating and assessing imprecision
Core GRADE 5: rating certainty of evidence—assessing indirectness
Core GRADE 3: rating certainty of evidence—assessing inconsistency
Core GRADE 6: presenting the evidence in summary of findings tables
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Core GRADE 7: principles for moving from evidence to recommendations and decisions
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​A decision algorithm for assessing indirectness in core GRADE
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