Literature DB >> 30506378

Effects of Sodium-glucose Cotransporter 2 Inhibitors on Amputation, Bone Fracture, and Cardiovascular Outcomes in Patients with Type 2 Diabetes Mellitus Using an Alternative Measure to the Hazard Ratio.

Masayuki Kaneko1, Mamoru Narukawa2.   

Abstract

BACKGROUND AND
OBJECTIVE: Empagliflozin and canagliflozin decreased the risk of major adverse cardiovascular events (MACE) compared with placebo in randomized clinical trials which were conducted to evaluate their cardiovascular risks. However, canagliflozin increased the risks of amputation and bone fracture, and the reasons for these observed differences remain unclear. The objective of this study was to evaluate the safety risks, specifically the risks of amputation and bone fracture, associated with sodium-glucose cotransporter 2 (SGLT2) inhibitors by using the difference in restricted mean survival time (RMST), an alternative measure to the hazard ratio.
METHODS: This study included all the randomized clinical trials with cardiovascular events as a primary endpoint, comparing SGLT2 inhibitors with placebo in patients with type 2 diabetes mellitus, the results of which have been published as of 11 September 2018: EMPA-REG OUTCOME (empagliflozin) and CANVAS Program (canagliflozin). We reevaluated these trials by estimating RMSTs based on the reconstructed individual patient data for each time-to-event outcome from publicly available information.
RESULTS: The differences of RMSTs (SGLT2 inhibitors minus placebo: point estimate and 95% confidence interval) for lower-extremity amputations and low-trauma fracture were - 20 days (- 30, - 10) and - 15 days (- 30, 0), respectively, in CANVAS Program (2190 days follow-up). That for lower-limb amputation was 1 day (-  6, 8) in EMPA-REG OUTCOME (1440 days follow-up). Regarding the MACE, both empagliflozin and canagliflozin statistically significantly decreased the risk compared with placebo.
CONCLUSIONS: Canagliflozin was shown to increase the risks of amputation and bone fracture compared with placebo when using the difference in RMST.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30506378     DOI: 10.1007/s40261-018-0731-4

Source DB:  PubMed          Journal:  Clin Drug Investig        ISSN: 1173-2563            Impact factor:   2.859


  16 in total

1.  The use of restricted mean survival time to estimate the treatment effect in randomized clinical trials when the proportional hazards assumption is in doubt.

Authors:  Patrick Royston; Mahesh K B Parmar
Journal:  Stat Med       Date:  2011-05-25       Impact factor: 2.373

2.  Moving beyond the hazard ratio in quantifying the between-group difference in survival analysis.

Authors:  Hajime Uno; Brian Claggett; Lu Tian; Eisuke Inoue; Paul Gallo; Toshio Miyata; Deborah Schrag; Masahiro Takeuchi; Yoshiaki Uyama; Lihui Zhao; Hicham Skali; Scott Solomon; Susanna Jacobus; Michael Hughes; Milton Packer; Lee-Jen Wei
Journal:  J Clin Oncol       Date:  2014-06-30       Impact factor: 44.544

3.  Describing Differences in Survival Curves.

Authors:  Rick Chappell; Xiaotian Zhu
Journal:  JAMA Oncol       Date:  2016-07-01       Impact factor: 31.777

4.  Empagliflozin and Assessment of Lower-Limb Amputations in the EMPA-REG OUTCOME Trial.

Authors:  Silvio E Inzucchi; Hristo Iliev; Egon Pfarr; Bernard Zinman
Journal:  Diabetes Care       Date:  2017-11-13       Impact factor: 19.112

5.  Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes.

Authors:  Bernard Zinman; Christoph Wanner; John M Lachin; David Fitchett; Erich Bluhmki; Stefan Hantel; Michaela Mattheus; Theresa Devins; Odd Erik Johansen; Hans J Woerle; Uli C Broedl; Silvio E Inzucchi
Journal:  N Engl J Med       Date:  2015-09-17       Impact factor: 91.245

6.  Utilizing the integrated difference of two survival functions to quantify the treatment contrast for designing, monitoring, and analyzing a comparative clinical study.

Authors:  Lihui Zhao; Lu Tian; Hajime Uno; Scott D Solomon; Marc A Pfeffer; Jerald S Schindler; Lee Jen Wei
Journal:  Clin Trials       Date:  2012-08-22       Impact factor: 2.486

7.  Alternatives to Hazard Ratios for Comparing the Efficacy or Safety of Therapies in Noninferiority Studies.

Authors:  Hajime Uno; Janet Wittes; Haoda Fu; Scott D Solomon; Brian Claggett; Lu Tian; Tianxi Cai; Marc A Pfeffer; Scott R Evans; Lee-Jen Wei
Journal:  Ann Intern Med       Date:  2015-07-21       Impact factor: 25.391

8.  Empagliflozin and Progression of Kidney Disease in Type 2 Diabetes.

Authors:  Christoph Wanner; Silvio E Inzucchi; John M Lachin; David Fitchett; Maximilian von Eynatten; Michaela Mattheus; Odd Erik Johansen; Hans J Woerle; Uli C Broedl; Bernard Zinman
Journal:  N Engl J Med       Date:  2016-06-14       Impact factor: 91.245

Review 9.  Comparison of Treatment Effects Measured by the Hazard Ratio and by the Ratio of Restricted Mean Survival Times in Oncology Randomized Controlled Trials.

Authors:  Ludovic Trinquart; Justine Jacot; Sarah C Conner; Raphaël Porcher
Journal:  J Clin Oncol       Date:  2016-02-16       Impact factor: 44.544

10.  Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome.

Authors:  Patrick Royston; Mahesh K B Parmar
Journal:  BMC Med Res Methodol       Date:  2013-12-07       Impact factor: 4.615

View more
  4 in total

1.  Fracture risk in patients with type 2 diabetes aged ≥50 years related to HbA1c, acute complications, BMI and SGLT2i-use in the DPV registry.

Authors:  Alexander J Eckert; Julia K Mader; Marcus Altmeier; Steffen Mühldorfer; Anton Gillessen; Dhayana Dallmeier; Viral N Shah; Christoph Heyer; Bettina Hartmann; Reinhard W Holl
Journal:  J Diabetes Complications       Date:  2020-06-27       Impact factor: 2.852

2.  Dipeptidyl peptidase-4 inhibitors, glucagon-like peptide 1 receptor agonists and sodium-glucose co-transporter-2 inhibitors for people with cardiovascular disease: a network meta-analysis.

Authors:  Takayoshi Kanie; Atsushi Mizuno; Yoshimitsu Takaoka; Takahiro Suzuki; Daisuke Yoneoka; Yuri Nishikawa; Wilson Wai San Tam; Jakub Morze; Andrzej Rynkiewicz; Yiqiao Xin; Olivia Wu; Rui Providencia; Joey Sw Kwong
Journal:  Cochrane Database Syst Rev       Date:  2021-10-25

3.  Safety and effectiveness of tofogliflozin in Japanese patients with type 2 diabetes mellitus: Results of 24-month interim analysis of a long-term post-marketing study (J-STEP/LT).

Authors:  Kazunori Utsunomiya; Seigo Kakiuchi; Masayuki Senda; Shoko Fujii; Yuji Kurihara; Ryoji Gunji; Ryusuke Koshida; Hiroyuki Kameda; Masahiro Tamura; Kohei Kaku
Journal:  J Diabetes Investig       Date:  2020-03-15       Impact factor: 4.232

4.  Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors: A Clinician's Guide.

Authors:  Bryce C Simes; Gordon G MacGregor
Journal:  Diabetes Metab Syndr Obes       Date:  2019-10-14       Impact factor: 3.168

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.