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Prediction of disease progression, treatment response and dropout in chronic obstructive pulmonary disease (COPD).

Musuamba, FT; Teutonico, D; Maas, HJ; Facius, A; Yang, S; Danhof, M; Della Pasqua, O; (2015) Prediction of disease progression, treatment response and dropout in chronic obstructive pulmonary disease (COPD). Pharm Res , 32 (2) 617 - 627. 10.1007/s11095-014-1490-4. Green open access

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Abstract

Drug development in chronic obstructive pulmonary disease (COPD) has been characterised by unacceptably high failure rates. In addition to the poor sensitivity in forced expiratory volume in one second (FEV1), numerous causes are known to contribute to this phenomenon, which can be clustered into drug-, disease- and design-related factors. Here we present a model-based approach to describe disease progression, treatment response and dropout in clinical trials with COPD patients.

Type: Article
Title: Prediction of disease progression, treatment response and dropout in chronic obstructive pulmonary disease (COPD).
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s11095-014-1490-4
Publisher version: http://dx.doi.org/10.1007/s11095-014-1490-4
Language: English
Additional information: © The Author(s) 2014. This article is published with open access at Springerlink.com This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Pharmacology
URI: https://discovery.ucl.ac.uk/id/eprint/1466544
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