AI Article Synopsis
- The development of a Physician Predictive Tool aims to help set realistic treatment expectations for patients with overactive bladder (OAB), improving their engagement and adherence.
- This tool is based on predictive modelling using data from eight Phase 3 and 4 clinical trials involving fesoterodine, allowing predictions of individual treatment responses based on baseline characteristics.
- The text outlines the data used, the model development process, and discusses both the potential benefits and limitations of using this predictive tool in clinical practice.
Article Abstract
The ability to set realistic expectations of treatment response in patients with overactive bladder (OAB) can have an impact on patient engagement and adherence to study medication. In order to help set treatment expectations for OAB, a Physician Predictive Tool has been developed based on predictive modelling. Models have been developed utilizing data from eight Phase 3 and 4 fesoterodine clinical trials and these models enable the prediction of individual treatment response in subjects with OAB, based on various baseline characteristics. The data utilized and covariates that were hypothesized to influence treatment response are described. The model selection and development process are also outlined, and the final model and some example results utilizing this model are presented. Finally, we discuss the potential benefits and limitations of such a predictive tool.
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| http://dx.doi.org/10.1016/j.cct.2016.09.005 | DOI Listing |
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