The Estimating effectiveness from efficacy taxonomy (EFFECT): A tool to estimate the real-world impact of health interventions.

Aims: To develop and pilot test a taxonomy that empirically estimates health intervention effectiveness from efficacy data.

Methods: We developed a taxonomy to score health interventions across 11 items on a scale from 0-100. The taxonomy was pilot-tested in efficacy and effectiveness diabetes prevention studies identified in two separate systematic reviews; here, the face validity, inter-rater reliability and factor structure of the taxonomy were established.

Global Diabetes Prevention Interventions: A Systematic Review and Network Meta-analysis of the Real-World Impact on Incidence, Weight, and Glucose.

Objective: Understanding the real-world impacts of lifestyle modification (LSM) for diabetes prevention is imperative to inform resource allocation. The purpose of this study was to synthetize global evidence on the impact of LSM strategies on diabetes incidence and risk factors in one parsimonious model.

Research Design And Methods: PubMed, Embase, Cochrane Library, and ClinicalTrials.

Long-term Sustainability of Diabetes Prevention Approaches: A Systematic Review and Meta-analysis of Randomized Clinical Trials.

Importance: Diabetes prevention is imperative to slow worldwide growth of diabetes-related morbidity and mortality. Yet the long-term efficacy of prevention strategies remains unknown.

Objective: To estimate aggregate long-term effects of different diabetes prevention strategies on diabetes incidence.