Guyatt, Gordon H2; Oxman, Andrew D2; Santesso, Nancy2; Helfand, Mark2; Vist, Gunn2; Kunz, Regina2; Brozek, Jan2; Norris, Susan2; Meerpohl, Joerg2; Djulbegovic, Ben2; Alonso-Coello, Pablo2; Post, Piet N2; Busse, Jason W2; Glasziou, Paul2; Christensen, Robin1; Schünemann, Holger J2
1 Parker Instituttet, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark2 unknown
12. Preparing summary of findings tables-binary outcomes
Summary of Findings (SoF) tables present, for each of the seven (or fewer) most important outcomes, the following: the number of studies and number of participants; the confidence in effect estimates (quality of evidence); and the best estimates of relative and absolute effects. Potentially challenging choices in preparing SoF table include using direct evidence (which may have very few events) or indirect evidence (from a surrogate) as the best evidence for a treatment effect. If a surrogate is chosen, it must be labeled as substituting for the corresponding patient-important outcome. Another such choice is presenting evidence from low-quality randomized trials or high-quality observational studies. When in doubt, a reasonable approach is to present both sets of evidence; if the two bodies of evidence have similar quality but discrepant results, one would rate down further for inconsistency. For binary outcomes, relative risks (RRs) are the preferred measure of relative effect and, in most instances, are applied to the baseline or control group risks to generate absolute risks. Ideally, the baseline risks come from observational studies including representative patients and identifying easily measured prognostic factors that define groups at differing risk. In the absence of such studies, relevant randomized trials provide estimates of baseline risk. When confidence intervals (CIs) around the relative effect include no difference, one may simply state in the absolute risk column that results fail to show a difference, omit the point estimate and report only the CIs, or add a comment emphasizing the uncertainty associated with the point estimate.
Journal of Clinical Epidemiology, 2013, Vol 66, Issue 2, p. 158-72
Confidence Intervals; Decision Making; Evidence-Based Medicine; Guideline Adherence; Humans; Models, Organizational; Ontario; Practice Guidelines as Topic; Quality Assurance, Health Care; Quality Improvement; Randomized Controlled Trials as Topic; Research Design; Treatment Outcome