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Promoting Informed Decisions About Cancer Screening in Older Adults

ABSTRACT: This project aims to examine the impact of different interventions designed to help individualize colorectal cancer (CRC) screening decisions in adults aged 76-85. Clinicians will be assigned by chance to one of two arms. In the Intervention arm, clinician participants will complete a training course and will also be notified of patients in the target age group who are due for a discussion about CRC screening. In the Comparator arm, clinician participants will be notified of their patients in the target age group with an upcoming visit who are due for a discussion about CRC screening. The investigators expect that patients seen by clinicians in the intervention arm will report more involvement in the decision making process, be more knowledgeable about the risks and benefits of CRC screening, and will have better quality decisions. Further, the investigators expect that the physicians in the intervention arm will have greater confidence in and demonstrate more skills for conducting shared decision making conversations as compared to those in the control arm.

DISEASE(S): Colorectal Cancer,Colorectal Neoplasms,Colorectal Cancer Screening

PROVIDER: 2306304 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Claret2009 - Predicting phase III overall survival in colorectal cancer This model is described in the article: Model-based prediction of phase III overall survival in colorectal cancer on the basis of phase II tumor dynamics. Claret L, Girard P, Hoff PM, Van Cutsem E, Zuideveld KP, Jorga K, Fagerberg J, Bruno R. J. Clin. Oncol. 2009 Sep; 27(25): 4103-4108 Abstract: PURPOSE: We developed a drug-disease simulation model to predict antitumor response and overall survival in phase III studies from longitudinal tumor size data in phase II trials. METHODS: We developed a longitudinal exposure-response tumor-growth inhibition (TGI) model of drug effect (and resistance) using phase II data of capecitabine (n = 34) and historical phase III data of fluorouracil (FU; n = 252) in colorectal cancer (CRC); and we developed a parametric survival model that related change in tumor size and patient characteristics to survival time using historical phase III data (n = 245). The models were validated in simulation of antitumor response and survival in an independent phase III study (n = 1,000 replicates) of capecitabine versus FU in CRC. RESULTS: The TGI model provided a good fit of longitudinal tumor size data. A lognormal distribution best described the survival time, and baseline tumor size and change in tumor size from baseline at week 7 were predictors (P < .00001). Predicted change of tumor size and survival time distributions in the phase III study for both capecitabine and FU were consistent with observed values, for example, 431 days (90% prediction interval, 362 to 514 days) versus 401 days observed for survival in the capecitabine arm. A modest survival improvement of 39 days (90% prediction interval, -21 to 110 days) versus 35 days observed was predicted for capecitabine. CONCLUSION: The modeling framework successfully predicted survival in a phase III trial on the basis of capecitabine phase II data in CRC. It is a useful tool to support end-of-phase II decisions and design of phase III studies. This model is hosted on BioModels Database and identified by: MODEL1708310001. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Promoting Informed Decisions About Cancer Screening in Older Adults

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