Opportunities for Improving the Drug Development Process: Results from a Survey of Industry and the FDA

In the United States, the Food and Drug Administration (FDA) agency is responsible for regulating the safety and efficacy of biopharmaceutical drug products. Furthermore, the FDA is tasked with speeding new medical innovations to market. These two missions create an inherent tension within the agency and between the agency and key stakeholders. Oftentimes, communications and interactions between regulated companies and the FDA suffer. The focus of this research is on the interactions between the FDA and the biopharmaceutical companies that perform drug R&D. To assess the current issues and state of communication and interaction between the FDA and industry, we carried out a survey of industry leadership in R&D and regulatory positions as well as senior leadership at the FDA who have responsibility for drug evaluation and oversight. Based on forty-nine industry and eight FDA interviews we conducted, we found that industry seeks additional structured and informal interactions with the FDA, especially during Phase II of development. Overall, industry placed greater value on additional communication than did the FDA. Furthermore, industry interviewees indicated that they were willing to pay PDUFA-like fees during clinical development to ensure that the FDA could hire additional, well-qualified staff to assist with protocol reviews and decision-making. Based on our survey and discussions, we uncovered several thematic opportunities to improve interactions between the FDA and industry and to reduce clinical development times: 1) develop metrics and goals at the FDA for clinical development times in exchange for PDUFA like fees; 2) establish an oversight board consisting of industry, agency officials, and premier external scientists (possibly at NIH or CDC) to evaluate and audit retrospectively completed and terminated drug projects; and 3) construct a knowledge database that can simultaneously protect proprietary data while allowing sponsor companies to understand safety issues and problems of previously developed/failed drug programs. While profound scientific and medical challenges face the FDA and industry, the first step to reducing development times and associated costs and facilitating innovation is to provide an efficient regulatory process that reduces unnecessary uncertainty and delays due to lack of communication and interaction.

Assessing the Impacts of the Prescription Drug User Fee Acts (PDUFA) on the FDA Approval Process

Congress enacted and renewed the Prescription Drug User Fee Acts (PDUFA) in 1992, and renewed it in 1997 and 2002, mandating FDA performance goals in reviewing and acting on drug applications within specified time periods. In turn, the FDA was permitted to levy user fees on drug sponsors submitting applications to the FDA. While PDUFA mandated action or review times, its ultimate impacts on actual final drug approval times are unknown. We model and quantify the impact of PDUFA-I and II on drug approval times, since these approval dates are the ones most directly related to new medicines becoming available to benefit patients. In assessing the impacts of PDUFA on drug approval times, it is noteworthy that approval times were trending downwards at 1.7% percent per year prior to implementation of PDUFA. Assuming continuation of that time trend, approval times post-PDUFA would have fallen even in the absence of PDUFA. Our principal finding is that PDUFA accelerated this downward trend so that instead of a counterfactual 6% reduction in approval times from 24.2 to 20.4 months in absence of these acts between 1991 and 2002, there was an observed decline of about 42%, from 24.2 to 14.2 months, following implementation of PDUFA. Thus, of the total observed decline in approval times between 1991 and 2002, approximately two-thirds can be attributed to PDUFA. However, much of this impact occurred in the initial years between 1992 and 1997 (PDUFA-I) rather than during the subsequent 1997-2002 time frame (PDUFA-II). We discuss implications of these findings and how future research might quantify the social value of the observed acceleration in the FDA drug approvals.

Assessing the Safety and Efficacy of the FDA: The Case of the Prescription Drug User Fee Acts

The US Food and drug Administration (FDA) is estimated to regulate markets accounting for about 20% of consumer spending in the US. This paper proposes a general methodology to evaluate FDA policies, in general, and the central speed-safety tradeoff it faces, in particular. We apply this methodology to estimate the welfare effects of a major piece of legislation affecting this tradeoff, the Prescription Drug User Fee Acts (PDUFA). We find that PDUFA raised the private surplus of producers, and thus innovative returns, by about $11 to$13 billion. Dependent on the market power assumed of producers while having patent protection, we find that PDUFA raised consumer welfare between $5 to$19 billion; thus the combined social surplus was raised between $18 to$31 billions. Converting these economic gains into equivalent health benefits, we find that the more rapid access of drugs on the market enabled by PDUFA saved the equivalent of 180 to 310 thousand life-years. Additionally, we estimate an upper bound on the adverse effects of PDUFA based on drugs submitted during PDUFA I/II and subsequently withdrawn for safety reasons, and find that an extreme upper bound of about 56 thousand life-years were lost. We discuss how our general methodology could be used to perform a quantitative and evidence-based evaluation of the desirability of other FDA policies in the future, particularly those affecting the speed-safety tradeoff.

Assessing the Impacts of the Prescription Drug User Fee Acts (PDUFA) on the FDA Approval Process

Congress enacted and renewed the Prescription Drug User Fee Acts (PDUFA) in 1992, and renewed it in 1997 and 2002, mandating FDA performance goals in reviewing and acting on drug applications within specified time periods. In turn, the FDA was permitted to levy user fees on drug sponsors submitting applications to the FDA. While PDUFA mandated action or review times, its ultimate impacts on actual final drug approval times are unknown. We model and quantify the impact of PDUFA-I and II on drug approval times, since these approval dates are the ones most directly related to new medicines becoming available to benefit patients. In assessing the impacts of PDUFA on drug approval times, it is noteworthy that approval times were trending downwards at 1.7% percent per year prior to implementation of PDUFA. Assuming continuation of that time trend, approval times post-PDUFA would have fallen even in the absence of PDUFA. Our principal finding is that PDUFA accelerated this downward trend so that instead of a counterfactual 6% reduction in approval times from 24.2 to 20.4 months in absence of these acts between 1991 and 2002, there was an observed decline of about 42%, from 24.2 to 14.2 months, following implementation of PDUFA. Thus, of the total observed decline in approval times between 1991 and 2002, approximately two-thirds can be attributed to PDUFA. However, much of this impact occurred in the initial years between 1992 and 1997 (PDUFA-I) rather than during the subsequent 1997-2002 time frame (PDUFA-II). We discuss implications of these findings and how future research might quantify the social value of the observed acceleration in the FDA drug approvals.

Translational studies in the complex role of neurotransmitter systems in anxiety and anxiety disorders

Discovery of innovative anxiolytics is severely hampering. Existing anxiolytics are developed decades ago and are still the therapeutics of choice. Moreover, lack of new drug targets forecasts a severe jeopardy in the future treatment of the huge population of CNS-diseased patients. We simply lack the knowledge on what is wrong in brains of anxious people (normal and diseased). Translational research, based on interacting clinical and preclinical research, is extremely urgent. In this endeavor, genetic and genomic approaches are part of the spectrum of contributing factors. We focus on three druggable targets: serotonin transporter, 5-HT1A, and GABAA receptors. It is still uncertain whether and how these targets are involved in normal and diseased anxiety processes. For serotonergic anxiolytics, the slow onset of action points to indirect effects leading to plasticity changes in brain systems leading to reduced anxiety. For GABAA benzodiazepine drugs, acute anxiolytic effects are found indicating primary mechanisms directly influencing anxiety processes. Close translational collaboration between fundamental academic and discovery research will lead to badly needed breakthroughs in the search for new anxiolytics.</p

Alignment of the CMS tracker with LHC and cosmic ray data

© CERN 2014 for the benefit of the CMS collaboration, published under the terms of the Creative Commons Attribution 3.0 License by IOP Publishing Ltd and Sissa Medialab srl. Any further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation and DOI.The central component of the CMS detector is the largest silicon tracker ever built. The precise alignment of this complex device is a formidable challenge, and only achievable with a significant extension of the technologies routinely used for tracking detectors in the past. This article describes the full-scale alignment procedure as it is used during LHC operations. Among the specific features of the method are the simultaneous determination of up to 200 000 alignment parameters with tracks, the measurement of individual sensor curvature parameters, the control of systematic misalignment effects, and the implementation of the whole procedure in a multi-processor environment for high execution speed. Overall, the achieved statistical accuracy on the module alignment is found to be significantly better than 10μm

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan

This paper describe development and financial performance of cooperative in District Pelalawan among 2007 - 2008. Studies on primary and secondary cooperative in 12 sub-districts. Method in this stady use performance measuring of productivity, efficiency, growth, liquidity, and solvability of cooperative. Productivity of cooperative in Pelalawan was highly but efficiency still low. Profit and income were highly, even liquidity of cooperative very high, and solvability was good