Literature DB >> 31239281

Using Real-World Data to Predict Findings of an Ongoing Phase IV Cardiovascular Outcome Trial: Cardiovascular Safety of Linagliptin Versus Glimepiride.

Elisabetta Patorno1, Sebastian Schneeweiss1, Chandrasekar Gopalakrishnan2, David Martin3, Jessica M Franklin1.   

Abstract

OBJECTIVE: Using real-world data (RWD) from three U.S. claims data sets, we aim to predict the findings of the CARdiovascular Outcome Trial of LINAgliptin Versus Glimepiride in Type 2 Diabetes (CAROLINA) comparing linagliptin versus glimepiride in patients with type 2 diabetes (T2D) at increased cardiovascular risk by using a novel framework that requires passing prespecified validity checks before analyzing the primary outcome. RESEARCH DESIGN AND METHODS: Within Medicare and two commercial claims data sets (May 2011-September 2015), we identified a 1:1 propensity score-matched (PSM) cohort of T2D patients 40-85 years old at increased cardiovascular risk who initiated linagliptin or glimepiride by adapting eligibility criteria from CAROLINA. PSM was used to balance >120 confounders. Validity checks included the evaluation of expected power, covariate balance, and two control outcomes for which we expected a positive association and a null finding. We registered the protocol (NCT03648424, ClinicalTrials.gov) before evaluating the composite cardiovascular outcome based on CAROLINA's primary end point. Hazard ratios (HR) and 95% CIs were estimated in each data source and pooled with a fixed-effects meta-analysis.
RESULTS: We identified 24,131 PSM pairs of linagliptin and glimepiride initiators with sufficient power for noninferiority (>98%). Exposure groups achieved excellent covariate balance, including key laboratory results, and expected associations between glimepiride and hypoglycemia (HR 2.38 [95% CI 1.79-3.13]) and between linagliptin and end-stage renal disease (HR 1.08 [0.66-1.79]) were replicated. Linagliptin was associated with a 9% decreased risk in the composite cardiovascular outcome with a CI including the null (HR 0.91 [0.79-1.05]), in line with noninferiority.
CONCLUSIONS: In a nonrandomized RWD study, we found that linagliptin has noninferior risk of a composite cardiovascular outcome compared with glimepiride.
© 2019 by the American Diabetes Association.

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Year:  2019        PMID: 31239281      PMCID: PMC6868466          DOI: 10.2337/dc19-0069

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  22 in total

1.  Transparency and Reproducibility of Observational Cohort Studies Using Large Healthcare Databases.

Authors:  S V Wang; P Verpillat; J A Rassen; A Patrick; E M Garry; D B Bartels
Journal:  Clin Pharmacol Ther       Date:  2016-03       Impact factor: 6.875

2.  Metrics for covariate balance in cohort studies of causal effects.

Authors:  Jessica M Franklin; Jeremy A Rassen; Diana Ackermann; Dorothee B Bartels; Sebastian Schneeweiss
Journal:  Stat Med       Date:  2013-12-09       Impact factor: 2.373

3.  Evaluation of Socioeconomic Status Indicators for Confounding Adjustment in Observational Studies of Medication Use.

Authors:  Chandrasekar Gopalakrishnan; Joshua J Gagne; Ameet Sarpatwari; Sara Z Dejene; Sarah K Dutcher; Raisa Levin; Jessica M Franklin; Sebastian Schneeweiss; Rishi J Desai
Journal:  Clin Pharmacol Ther       Date:  2019-02-25       Impact factor: 6.875

4.  Evaluating the Use of Nonrandomized Real-World Data Analyses for Regulatory Decision Making.

Authors:  Jessica M Franklin; Robert J Glynn; David Martin; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2019-02-25       Impact factor: 6.875

5.  2-year efficacy and safety of linagliptin compared with glimepiride in patients with type 2 diabetes inadequately controlled on metformin: a randomised, double-blind, non-inferiority trial.

Authors:  Baptist Gallwitz; Julio Rosenstock; Thomas Rauch; Sudipta Bhattacharya; Sanjay Patel; Maximilian von Eynatten; Klaus A Dugi; Hans-Juergen Woerle
Journal:  Lancet       Date:  2012-06-28       Impact factor: 79.321

6.  A combined comorbidity score predicted mortality in elderly patients better than existing scores.

Authors:  Joshua J Gagne; Robert J Glynn; Jerry Avorn; Raisa Levin; Sebastian Schneeweiss
Journal:  J Clin Epidemiol       Date:  2011-01-05       Impact factor: 6.437

7.  When and How Can Real World Data Analyses Substitute for Randomized Controlled Trials?

Authors:  Jessica M Franklin; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2017-09-25       Impact factor: 6.875

8.  Association Between Hospitalization for Heart Failure and Dipeptidyl Peptidase 4 Inhibitors in Patients With Type 2 Diabetes: An Observational Study.

Authors:  Alex Z Fu; Stephen S Johnston; Ameen Ghannam; Katherine Tsai; Katherine Cappell; Robert Fowler; Ellen Riehle; Ashley L Cole; Iftekhar Kalsekar; John Sheehan
Journal:  Diabetes Care       Date:  2016-01-06       Impact factor: 19.112

9.  Use of Health Care Databases to Support Supplemental Indications of Approved Medications.

Authors:  Michael Fralick; Aaron S Kesselheim; Jerry Avorn; Sebastian Schneeweiss
Journal:  JAMA Intern Med       Date:  2018-01-01       Impact factor: 21.873

10.  Cardiovascular outcomes associated with canagliflozin versus other non-gliflozin antidiabetic drugs: population based cohort study.

Authors:  Elisabetta Patorno; Allison B Goldfine; Sebastian Schneeweiss; Brendan M Everett; Robert J Glynn; Jun Liu; Seoyoung C Kim
Journal:  BMJ       Date:  2018-02-06
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  23 in total

Review 1.  Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review.

Authors:  James R Rogers; Junghwan Lee; Ziheng Zhou; Ying Kuen Cheung; George Hripcsak; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

2.  Emulation Differences vs. Biases When Calibrating Real-World Evidence Findings Against Randomized Controlled Trials.

Authors:  Jessica M Franklin; Robert J Glynn; Samy Suissa; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2020-02-12       Impact factor: 6.875

3.  Evolving channeling in prescribing SGLT-2 inhibitors as first-line treatment for type 2 diabetes.

Authors:  HoJin Shin; Sebastian Schneeweiss; Robert J Glynn; Elisabetta Patorno
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-01-17       Impact factor: 2.890

4.  Assessing and Interpreting Real-World Evidence Studies: Introductory Points for New Reviewers.

Authors:  Shirley V Wang; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2021-09-01       Impact factor: 6.875

5.  Trends in First-Line Glucose-Lowering Drug Use in Adults With Type 2 Diabetes in Light of Emerging Evidence for SGLT-2i and GLP-1RA.

Authors:  HoJin Shin; Sebastian Schneeweiss; Robert J Glynn; Elisabetta Patorno
Journal:  Diabetes Care       Date:  2021-06-18       Impact factor: 17.152

6.  Prevalence of Avoidable and Bias-Inflicting Methodological Pitfalls in Real-World Studies of Medication Safety and Effectiveness.

Authors:  Katsiaryna Bykov; Elisabetta Patorno; Elvira D'Andrea; Mengdong He; Hemin Lee; Jennifer S Graff; Jessica M Franklin
Journal:  Clin Pharmacol Ther       Date:  2021-08-04       Impact factor: 6.875

7.  Effect of linagliptin, a dipeptidyl peptidase-4 inhibitor, compared with the sulfonylurea glimepiride on cardiovascular outcomes in Asians with type 2 diabetes: subgroup analysis of the randomized CAROLINA® trial.

Authors:  Takashi Kadowaki; Guang Wang; Julio Rosenstock; Daisuke Yabe; Yongde Peng; Keizo Kanasaki; Yiming Mu; Michaela Mattheus; Annett Keller; Tomoo Okamura; Odd Erik Johansen; Nikolaus Marx
Journal:  Diabetol Int       Date:  2020-06-27

8.  Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies: First Results From the RCT DUPLICATE Initiative.

Authors:  Jessica M Franklin; Elisabetta Patorno; Rishi J Desai; Robert J Glynn; David Martin; Kenneth Quinto; Ajinkya Pawar; Lily G Bessette; Hemin Lee; Elizabeth M Garry; Nileesa Gautam; Sebastian Schneeweiss
Journal:  Circulation       Date:  2020-12-17       Impact factor: 29.690

9.  Glucose-lowering treatments and COVID-19 mortality in T2DM.

Authors:  Samy Hadjadj; Matthieu Wargny
Journal:  Nat Rev Endocrinol       Date:  2021-05-12       Impact factor: 43.330

10.  Efficacy and Safety of Mulberry Twig Alkaloids Tablet for the Treatment of Type 2 Diabetes: A Multicenter, Randomized, Double-Blind, Double-Dummy, and Parallel Controlled Clinical Trial.

Authors:  Ling Qu; Xiaochun Liang; Guoqing Tian; Gaili Zhang; Qunli Wu; Xiumei Huang; Yazhong Cui; Yuling Liu; Zhufang Shen; Changqing Xiao; Yingfen Qin; Heng Miao; Yongyan Zhang; Ziling Li; Shandong Ye; Xuezhi Zhang; Jing Yang; Guiwen Cao; Yi Li; Gangyi Yang; Ji Hu; Xiaoyue Wang; Zhengfang Li; Yukun Li; Xiuzhen Zhang; Guangde Zhang; Li Chen; Wenjin Hua; Ming Yu; Chunyan Lu; Xiaomei Zhang; Hong Jiang
Journal:  Diabetes Care       Date:  2021-04-08       Impact factor: 17.152

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