Emulating the GRADE trial using real world data: retrospective comparative effectiveness study
Year: 2022
Type: article
Study design: Observational Study
Abstract: ABSTRACT OBJECTIVES To emulate the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) trial using real-world data prior to its publication. GRADE is the first comparative effectiveness study to directly compare second-line glucose-lowering medications with respect to their ability to lower hemoglobin A 1c (HbA 1c ). DESIGN AND SETTING In this observational cohort study, we applied GRADE trial criteria to claims and laboratory data from OptumLabs ® Data Warehouse (OLDW), a U.S. nationwide claims database, between 1/25/2010 and 6/30/2019. PARTICIAPNTS Adults with type 2 diabetes with hemoglobin A 1c (HbA 1c ) 6.8-8.5% on metformin monotherapy, identified according to GRADE trial specifications. INTERVENTIONS Glimepiride, liraglutide, sitagliptin, and insulin glargine. MAIN OUTCOME MEASURES The primary outcome was time to HbA 1c ≥7.0% and secondary outcomes were other metabolic, microvascular, macrovascular, and safety outcomes specified by GRADE. Propensity scores were estimated using the gradient boosting machine method and inverse propensity score weighting was used to emulate randomization of the treatment groups, which were then compared using Cox proportional hazards regression. RESULTS We identified 8252 patients (19.7% of adults starting the study drugs in OLDW) meeting GRADE eligibility criteria (glimepiride arm=4318, liraglutide arm=690, sitagliptin arm=2993, glargine arm=251). The glargine arm was excluded from analyses due to small sample size. Median times to HbA 1c ≥7.0% were 442 (95% CI, 394-480) days for glimepiride, 764 (95% CI, 741-NA) days for liraglutide, and 427 (95% CI, 380-483) days for sitagliptin. Liraglutide was associated with lower risk of reaching HbA 1c ≥7.0% compared to glimepiride (HR 0.57 [95% CI, 0.43-0.75]) and sitagliptin (HR 0.55 [95% CI, 0.41-0.73]). Results were consistent for the secondary outcome of time to HbA 1c >7.5%. There were no significant differences among treatment groups for the remaining secondary outcomes. CONCLUSIONS In this emulation of the GRADE trial, liraglutide was significantly more effective at maintaining glycemic control than glimepiride or sitagliptin when added to metformin monotherapy. There is value in generating timely evidence on medical treatments using real-world data as a complement to prospective trials. SUMMARY BOXES What is already known about this topic? Real-world data is an important source of information about clinical practice, comparative effectiveness and safety, and health outcomes and has the potential to generate timely, pragmatic evidence on medical treatments as a complement to prospective clinical trials. Multiple classes of second-line glucose-lowering medications have been approved for the management of type 2 diabetes, with limited evidence of their comparative effectiveness with respect to glycemic control. What this study adds? We emulated the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) randomized clinical trial using data from a U.S. nationwide administrative claims database to identify the strengths and limitations of using real-world data to emulate prospective comparative effectiveness trials, particularly when examining medications in contexts that may not be the standard of care. Liraglutide is more effective than glimepiride and sitagliptin at lowering HbA 1c , supporting its preferential use when substantial glycemic reduction is needed. Advanced causal inference analytic methods applied to observational data can be used to efficiently and effectively emulate clinical trials.
Source: BMJ
Institutions: Mayo Clinic, Optum (United States), University of Chicago, Yale University, San Francisco VA Medical Center, University of California, San Francisco, University of California San Francisco Medical Center, San Francisco VA Health Care System, United States Food and Drug Administration, Center for Drug Evaluation and Research, Brandeis University, Mayo Clinic in Florida, Delta Air Lines (United States)
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: U.S. Department of Health and Human Services, American Diabetes Association, U.S. Department of Veterans Affairs, Bristol-Myers Squibb, Yale University, Patient-Centered Outcomes Research Institute, Health Services Research and Development, Laura and John Arnold Foundation, Arnold Ventures, National Institutes of Health, U.S. Food and Drug Administration, Agency for Healthcare Research and Quality, Center of Excellence in Regulatory Science and Innovation, Office of Rural Health, National Institute on Alcohol Abuse and Alcoholism, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Advancing Translational Sciences
Awards: Predicting the Risk of Severe Hypoglycemic and Hyperglycemic Events in Adults with Diabetes, G1384350020, G1759066555, Leveraging Physician Networks to Improve Care and Outcomes for Low-Income Populations, G4883553062, G7168163869, G747006993, G7897100158, UNDERSTANDING HOSPITAL READMISSION RATES: PATIENT, HOSPITAL AND COMMUNITY EFFECTS, G8313649646, G8475715394, Identifying patient subgroups that are most likely to benefit from medications used to treat alcohol use disorder, Yale Clinical and Translational Science Award
OpenAlex ID: W4300862934
