Two Combination Therapies Equal for Acne

2010 ◽  
Vol 43 (14) ◽  
pp. 35
Author(s):  
HEIDI SPLETE
2019 ◽  
Author(s):  
Mitchell G Lawrence ◽  
Laura H Porter ◽  
Daisuke Obinata ◽  
Shahneen Sandhu ◽  
Luke A Selth ◽  
...  

2014 ◽  
Vol 20 (42) ◽  
pp. 6660-6669 ◽  
Author(s):  
Davide Melisi ◽  
Lorenzo Calvetti ◽  
Melissa Frizziero ◽  
Giampaolo Tortora

2019 ◽  
Vol 19 (5) ◽  
pp. 368-381 ◽  
Author(s):  
Linh N.K. Tran ◽  
Ganessan Kichenadasse ◽  
Pamela J. Sykes

Prostate cancer (PCa) is the most frequent cancer in men. The evolution from local PCa to castration-resistant PCa, an end-stage of disease, is often associated with changes in genes such as p53, androgen receptor, PTEN, and ETS gene fusion products. Evidence is accumulating that repurposing of metformin (MET) and valproic acid (VPA) either when used alone, or in combination, with another therapy, could potentially play a role in slowing down PCa progression. This review provides an overview of the application of MET and VPA, both alone and in combination with other drugs for PCa treatment, correlates the responses to these drugs with common molecular changes in PCa, and then describes the potential for combined MET and VPA as a systemic therapy for prostate cancer, based on potential interacting mechanisms.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Borghi ◽  
J.G Wang ◽  
A.V Rodionov ◽  
M Rosas ◽  
I.S Sohn ◽  
...  

Abstract Background It is well established that single pill combination (SPC) therapies have the potential to improve patient adherence versus multi-pill regimens, thereby improving blood pressure control and clinical outcomes in populations with hypertension. Purpose To develop a microsimulation model, capturing different treatment pathways, to project the impact on clinical outcomes of using single pill combination therapies for the management of hypertension in five countries (Italy, Russia, China, South Korea and Mexico). Methods The model was designed to project health outcomes between 2020 and 2030 for populations with hypertension managed according to four different treatment pathways: current treatment practices [CTP], single drug with dosage titration first then sequential addition of other agents [start low and go slow, SLGS], free choice combination with multiple pills [FCC] and combination therapy in the form of a single pill [SPC]. Model inputs were derived from Global Burden of Disease 2017 dataset, including demographics, health status/risk factors, transition probabilities and treatment attributes/healthcare utilization, and the model incorporated real-world challenges to healthcare delivery such as access to care, SBP measurement error, adherence and therapeutic inertia. Simulated outcomes of mortality, incidence of chronic kidney disease (CKD), stroke and ischemic heart disease (IHD), and disability-adjusted life years (DALYs) due to these conditions were estimated for population of 1,000,000 simulated patients for each treatment pathway and country. Results SPC therapy was projected to improve health outcomes over SLGS, FCC and CTP over 10 years in all five countries. SPC was forecast to reduce mortality by 5.4% (Italy), 4.9% (Russia), 4.5% (China), 2.3% (South Korea) and 3.6% (Mexico) versus CTP and showed greater projected reductions in mortality than SLGS and FCC. DALYs were projected to be reduced with SPC therapy by between 5.7% (Italy) and 2.2% (South Korea) compared with CTP and reductions in the incidence of clinical events were also projected with SPC therapy, with decreases in the range of 11.5% (Italy) to 4.9% (South Korea) versus CTP. Conclusions Ten-year projections of clinical outcomes associated with different anti-hypertensive treatment pathways in five countries indicated that both combination therapies (FCC and SPC) are likely to reduce the disease burden of hypertension compared with conventional management approaches, with SPC showing the greatest overall benefits due to improved adherence. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Sanofi, Gentilly, France


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