Research Techniques Made Simple: Evaluating the Strength of Clinical Recommendations in the Medical Literature: GRADE, SORT, and AGREE Mayra Buainain de.

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Research Techniques Made Simple: Evaluating the Strength of Clinical Recommendations in the Medical Literature: GRADE, SORT, and AGREE Mayra Buainain de Castro Maymone1, Stephanie D. Gan1, Michael Bigby2   1Department of Dermatology, Boston University School of Medicine, Boston, Massachusetts, USA 2Department of Dermatology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA

Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Adopted by more than 65 organizations worldwide as an international standard for guideline development Explicitly evaluates relevant outcomes and considers risks, benefits, patient expectations, and resource utilization in reaching recommendations

4. Trade-off between benefits and risks The GRADE Process 1. Framing the questions Using PICO (patient/intervention/comparator/outcome) 2. Treatment effects Summary of best available evidence, focusing on critical outcomes 3. Quality of evidence Assessment of confidence in the estimate of treatment effect 4. Trade-off between benefits and risks (values and preferences) 5. Recommendation (estimate of effect, confidence estimate, and patient perspective) Adapted with permission from Journal of Thrombosis and Haemostasis (Guyatt et al., 2013)

Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Quality of the evidence Strength of Recommendation Strong: benefits outweigh risks of the intervention Weak: most informed people would choose this recommendation, but a substantial number would not High Moderate Low Very Low

Strength of Recommendation Taxonomy (SORT) Simple and easily applied by authors and physicians Advocates the use of patient-oriented over disease-oriented outcomes Adopted by the American Academy of Dermatology

Strength of Recommendation Taxonomy (SORT) Quality of the Evidence A= Based on consistent and good-quality patient- oriented evidence B= Based on inconsistent or limited-quality patient-oriented evidence C= Based on consensus, usual practice, opinion, disease-oriented evidence or case series Level 1: good quality Level 2: limited quality Level 3: others

AGREE Validated instrument that assesses the quality of guidelines development Assesses 6 domains in guideline development: scope and purpose, stakeholder involvement, rigor of development, clarity and presentation, applicability, and editorial independence Uses a 4-point numerical scoring system, ranging from 1 (strongly disagree) to 4 (strongly agree). Scores reflecting inadequate quality are assigned a score ≤2.

GRADE, SORT, and AGREE GRADE and SORT are two methods of evaluating a body of evidence and the quality of studies to create a comprehensive recommendation The AGREE instrument is a validated quantitative scoring method created to systematically assess the quality of practice guidelines

Limitations of GRADE, SORT, and AGREE GRADE is complicated and requires an expertise in statistics SORT is an overly simplified instrument that is not applied internationally  AGREE has no set minimum domain scores to differentiate high- versus poor-quality guidelines