scholarly journals Clinical Trial Risk in Type-2 Diabetes: Importance of Patient History

2014 ◽  
Vol 17 (3) ◽  
pp. 393 ◽  
Author(s):  
Emmanuel O. Aiyere ◽  
Jay Silverberg ◽  
Safina Ali ◽  
Jayson L. Parker

Purpose. To determine the risk of clinical trial failure for drugs developed for type-2 diabetes.  Methods. Drugs were investigated by reviewing phase I to phase III studies that were conducted between 1998 and February 2013. The clinical trial success rates were calculated and compared to the industry standard. The drugs were classified into GLP-1 receptor agonists, DPP-4 inhibitors, SGLT-2 inhibitors and “Other”. The exclusion criteria for drugs in this study: Drugs that were started in phase I studies prior to January 1998 for this indication and drugs whose primary indications were not for the control of blood glucose levels.  Results. Data was extracted from clinicaltrials.gov; there were a total of 131 drug candidates that fit our specified criteria, of which 8 received FDA approval. The cumulative success rate for molecules developed for type-2 diabetes is 10%. Small molecules were more successful than biologics. A strong disparity was observed in phase III, with studies that utilised treatment naïve patients having a 40% success rate, compared to an 83% success rate in patients who have had previous anti-hyperglycemic exposure.  Conclusions. 1 in 10 drugs that enter clinical testing in this disease will be approved. The DPP-4 inhibitor class of drugs had the highest success rate of all drug classes with a 63% cumulative success rate; while treatment naïve patients carried the greatest clinical trial risk.  Keywords: Clinical trials, Type-2 diabetes, Drug development, Clinical trial risk. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.

2012 ◽  
Vol 39 (11) ◽  
pp. 2066-2070 ◽  
Author(s):  
KAVISHA S. JAYASUNDARA ◽  
EDWARD C. KEYSTONE ◽  
JAYSON L. PARKER

Objective.We conducted a systematic review to determine the risk of drug failure in clinical testing with patients with moderate to severe rheumatoid arthritis (RA).Methods.Therapies for RA were investigated by reviewing phase I to phase III studies conducted from December 1998 to March 2011. Clinical trial success rates were calculated and compared to industry standards. Trial failures were classified as either commercial or clinical failures. The exclusion criteria for drugs in this study: drugs that were started in phase I studies prior to January 1998 for this indication; or studies that enrolled patients who were methotrexate-naive and/or had failed biologic therapy.Results.A search in clinicaltrials.gov and approved drugs for the indication yielded a total of 69 drugs that met the study criteria. The cumulative success rate was determined to be 16%, which is equivalent to the industry standard of 16%. For each phase, the frequency of clinical failures exceeded commercial failures. Clinical studies equally comprised investigations of small molecules and biological agents, but biologics seemed to exhibit a higher success rate overall.Conclusion.Clinical trial risk in RA with the 84% failure rate reported here is at par with industry performance and phase II success rate seems to be highly predictive of phase III success.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Mengyi Li ◽  
Xuemin Huang ◽  
Hui Ye ◽  
Yao Chen ◽  
Jing Yu ◽  
...  

Aims. To evaluate the efficacy and safety of mulberry twig alkaloid (SZ-A) tablet compared with acarbose in patients with type 2 diabetes.Methods. This clinical trial enrolled 38 patients who were randomized into two groups (SZ-A: 23; acarbose: 15) and were treated for 24 weeks. Patients and clinical trial staffs were masked to treatment assignment throughout the study. The primary outcome measures were glycated hemoglobin (HbA1c) and 1-hour and 2-hour postprandial and fasting plasma glucose levels from baseline to the end of treatment. Analysis included all patients who completed this study.Results. By the end of this study, HbA1c level in SZ-A group was decreased from baseline significantly (P<0.001). No significant difference was found when compared with acarbose group (P=0.652). Similarly, 1-hour and 2-hour postprandial plasma glucose levels in SZ-A group were decreased from baseline statistically (P<0.05), without any significant differences compared with acarbose group (P=0.748and 0.558, resp.). The fasting plasma glucose levels were not significantly changed in both groups. One of 23 patients in SZ-A group (4.76%) and 5 of 15 patients in acarbose group (33.33%) suffered from gastrointestinal adverse events.Conclusions. Compared with acarbose, SZ-A tablet was effective and safe in glycemic control in patients with type 2 diabetes.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 8040-8040
Author(s):  
Adam Falconi ◽  
Gilberto Lopes ◽  
Jayson L. Parker

8040 Background: We analyzed the risk of clinical trial failure duringnon-small cell lung cancer (NSCLC) drug development between 1998 and 2012. Methods: NSCLC drug development was investigated using trial disclosures from publically available resources. Compounds were excluded from the analysis if they began phase I clinical testing before 1998 and if they did not use treatment relevant endpoints. Analysis was conducted in regards to treatment indication, compound classification and mechanism of action. Costs of clinical drug development for advanced NSCLC were calculated using industry data and assumptions, a 9% yearly discount rate and assuming a clinical trial length of 2.5 years for phase I trials, 4 years for phase II trials, 5 years for phase III trials and an average of 5 phase I trials, 7 phase II trials, and 4 phase III trials per approved drug. All funding costs are in US dollars (USD). Results: 2,407 clinical trials met search criteria. 676 trials and 199 unique compounds met our inclusion criteria. The likelihood, or cumulative clinical trial success rate, that a new drug would pass all phases of clinical testing and be approved was found to be 11%, which is less than the expected industry aggregate rates (16.5%). The success of phase III trials was found to be the biggest obstacle for drug approval with a success rate of only 28%. Biomarker-guided targeted therapies (with a success rate of 62%) and receptor targeted therapies (with a success rate of 31%) were found to have the highest likelihood of success in clinical trials. The risk-adjusted cost for NSCLC clinical drug development was calculated to be 1.89 billion US dollars. Use of biomarkers decreased drug development cost by 26% to 1.4 billion US dollars. Potential savings may be even higher if fewer clinical trials are required for successful development. Conclusions: Physicians that enroll patients in NSCLC trials should prioritize their participation in clinical trial programs that involve either a biomarker or receptor targeted therapy, which appear to carry the best chances for a successful treatment response. Given the high adjusted cost of clinical testing alone in NSCLC, efforts to mitigate the risk of trial failure need to explore these factors more fully.


2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S448-S449
Author(s):  
G Georgiev ◽  
F Hussain ◽  
M Copeman ◽  
M Delegge ◽  
M B Gallagher ◽  
...  

Abstract Background Given the increasing costs of drug development, coupled with low success rates, there is a need to both develop better predictive models and elucidate causes of failure. However, for indications such as ulcerative colitis, a baseline does not presently exist. In this paper, we review trends in drug development and establish a baseline for ulcerative colitis. Methods We used BiomedTracker to obtain information about the number of compounds, which were in development for ulcerative colitis between 2005 and 2018. We counted the number of compounds, which had reached a particular phase, had been discontinued during this phase, had successfully passed it or had been still in this phase. Success rates were derived for the different phases of drug development for all 73 candidate drugs and divided by type of molecule and type of company. A success rate was calculated by dividing the number of drugs successfully completing a particular phase by the sum of the number of drugs which were discontinued during this phase and the number of compounds that completed positively a phase. The likelihood for approval (LOA) for each phase was calculated by multiplying the success rate for the respective phase with the success rates of next stages of development. Results The success rate in phase I was 96 %, in phase II 53 % and in phase III 76%, while the respective LOA was 0.39, 0.4 and 0.76. Table 1 demonstrates the success rates and LOA by type of compound(New molecular entity (NME), Biologic, non-NME) and type of company (big, mid-size, emerging). Conclusion The general industry success rates and LOA for phase I is 64%, for Phase 2 30%, and for phase 3 60% while the LOA from phase I is 10%. These data are published by Michael Hay and co-authors in Nature in January 2014. The success rates in UC drug development are therefore higher than the overall industry success rates.


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