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Institution

Tufts Center for the Study of Drug Development

About: Tufts Center for the Study of Drug Development is a based out in . It is known for research contribution in the topics: Drug development & Clinical trial. The organization has 78 authors who have published 258 publications receiving 16047 citations.


Papers
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Journal ArticleDOI
TL;DR: An algorithm for predicting regulatory marketing approval for new cancer drugs after phase II testing has been conducted is developed, with the objective of providing a tool to improve drug portfolio decision‐making.
Abstract: We developed an algorithm (ANDI) for predicting regulatory marketing approval for new cancer drugs after phase II testing has been conducted, with the objective of providing a tool to improve drug portfolio decision-making. We examined 98 oncology drugs from the top 50 pharmaceutical companies (2006 sales) that first entered clinical development from 1999 to 2007, had been taken to at least phase II development, and had a known final outcome (research abandonment or regulatory marketing approval). Data on safety, efficacy, operational, market, and company characteristics were obtained from public sources. Logistic regression and machine-learning methods were used to provide an unbiased approach to assess overall predictability and to identify the most important individual predictors. We found that a simple four-factor model (activity, number of patients in the pivotal phase II trial, phase II duration, and a prevalence-related measure) had high sensitivity and specificity for predicting regulatory marketing approval.

30 citations

Journal ArticleDOI
TL;DR: The results from the literature review and use cases provide drug development teams with evidence and insights to help facilitate the adoption of specific PCIs within their organization and to help select those initiatives that would provide the highest impact to patients and development organizations.
Abstract: Background:Recently, drug development companies have sought out patient feedback to improve overall drug development. However, characterization of the overall impact and return on engaging with pat...

30 citations

Journal ArticleDOI
TL;DR: Assessment of progress in meeting commitments on drug donations laid out in the London Declaration on Neglected Tropical Diseases finds that multiple stakeholders with a vested interest in reducing the burden of neglected diseases must collaborate in a multipronged approach toward NTD elimination.

30 citations

Journal Article
01 Sep 2013-Nature
TL;DR: An E2E approach may improve the evidentiary basis for selecting treatments, expand understanding of the effectiveness of treatments in subgroups with particular clinical features, and foster incorporation of effectiveness information into regulatory processes.
Abstract: We propose an “efficacy-to-effectiveness” (E2E) clinical trial design, in which an effectiveness trial would commence seamlessly upon completion of the efficacy trial. Efficacy trials use inclusion/exclusion criteria to produce relatively homogeneous samples of participants with the target condition, conducted in settings that foster adherence to rigorous clinical protocols. Effectiveness trials use inclusion/exclusion criteria that generate heterogeneous samples that are more similar to the general patient spectrum, conducted in more varied settings, with protocols that approximate typical clinical care. In E2E trials, results from the efficacy trial component would be used to design the effectiveness trial component, to confirm and/or discern associations between clinical characteristics and treatment effects in typical care, and potentially to test new hypotheses. An E2E approach may improve the evidentiary basis for selecting treatments, expand understanding of the effectiveness of treatments in subgroups with particular clinical features, and foster incorporation of effectiveness information into regulatory processes.

29 citations

Journal ArticleDOI
TL;DR: In Light and Warburton’s (2005b) rejoinder to the authors' reply, the authors reiterate some erroneous assertions made in their original comment and add unsubstantiated insinuations of bias on the part of the now defunct US Congressional Office of Technology Assessment (OTA).

29 citations


Authors
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20219
20208
201914
201815
201710
201611