Abstract

BackgroundRisk-stratified treatment recommendations facilitate treatment decision-making that balances patient-specific risks and preferences. It is unclear if and how such recommendations are developed in clinical practice guidelines (CPGs). Our aim was to assess if and how CPGs develop risk-stratified treatment recommendations for the prevention or treatment of common chronic diseases.MethodsWe searched the United States National Guideline Clearinghouse for US, Canadian and National Institute for Health and Clinical Excellence (United Kingdom) CPGs for heart disease, stroke, cancer, chronic obstructive pulmonary disease and diabetes that make risk-stratified treatment recommendations. We included only those CPGs that made risk-stratified treatment recommendations based on risk assessment tools. Two reviewers independently identified CPGs and extracted information on recommended risk assessment tools; type of evidence about treatment benefits and harms; methods for linking risk estimates to treatment evidence and for developing treatment thresholds; and consideration of patient preferences.ResultsWe identified 20 CPGs that made risk-stratified treatment recommendations out of 133 CPGs that made any type of treatment recommendations for the chronic diseases considered in this study. Of the included 20 CPGs, 16 (80%) used evidence about treatment benefits from randomized controlled trials, meta-analyses or other guidelines, and the source of evidence was unclear in the remaining four (20%) CPGs. Nine CPGs (45%) used evidence on harms from randomized controlled trials or observational studies, while 11 CPGs (55%) did not clearly refer to harms. Nine CPGs (45%) explained how risk prediction and evidence about treatments effects were linked (for example, applying estimates of relative risk reductions to absolute risks), but only one CPG (5%) assessed benefit and harm quantitatively and three CPGs (15%) explicitly reported consideration of patient preferences.ConclusionsOnly a small proportion of CPGs for chronic diseases make risk-stratified treatment recommendations with a focus on heart disease and stroke prevention, diabetes and breast cancer. For most CPGs it is unclear how risk-stratified treatment recommendations were developed. As a consequence, it is uncertain if CPGs support patients and physicians in finding an acceptable benefit- harm balance that reflects both profile-specific outcome risks and preferences.

Highlights

  • Risk-stratified treatment recommendations facilitate treatment decision-making that balances patientspecific risks and preferences

  • We focused on clinical practice guideline (CPG) for major chronic diseases and from the United States (US), Canada, or the United Kingdom (UK) National Institute for Health and Clinical Excellence (NICE)

  • Most CPGs that we excluded (Figure 2) were on topics not related to our study question or because they were not from the US, Canada or NICE (UK)

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Summary

Introduction

Risk-stratified treatment recommendations facilitate treatment decision-making that balances patientspecific risks and preferences. It is unclear if and how such recommendations are developed in clinical practice guidelines (CPGs). Our aim was to assess if and how CPGs develop risk-stratified treatment recommendations for the prevention or treatment of common chronic diseases. Inhaled corticosteroids are used to prevent exacerbations in patients with chronic obstructive pulmonary disease (COPD) [2,3,4], but these drugs are associated with an increased risk for pneumonia and fractures [5,6]. Personalized medicine aims at optimizing the benefit-harm balance by considering patient profiles (combination of characteristics) and preferences [7]. For the prevention and treatment of chronic disease, most health care decisions are sensitive to patient profiles and preferences [8]. In the Third Report of the National Cholesterol Education Program’s Adult Treatment Panel treatment algorithm [10], the recommendation for primary prevention of coronary heart disease is based on the Framingham Risk Score

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