Modeling Clinical Failure in Prostate Cancer Patients Based on a Two-stage Statistical Model
NCT03979079 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2384
Last updated 2021-01-25
Summary
Biomarker series can indicate disease progression and predict clinical endpoints. When a treatment is prescribed depending on the biomarker, confounding by indication might be introduced if the treatment modifies the marker profile and risk of failure.
The two-stage model fitted within a Bayesian Markov Chain Monte Carlo framework is particularly flexible to account for such data. Prostate-specific antigens in prostate cancer patients treated with external beam radiation therapy can be monitored. In the presence of rising prostate-specific antigens after external beam radiation therapy, salvage hormone therapy can be prescribed to reduce both the prostate-specific antigens concentration and the risk of clinical failure, an illustration of confounding by indication. The prognostic value of hormone therapy and prostate-specific antigens trajectory on the risk of failure based on a two-stage model within a Bayesian framework to assess the role of the prostate-specific antigens profile on clinical failure while accounting for a secondary treatment prescribed by indication. the aim of this research is to model prostate specific antigens using a hierarchical piecewise linear trajectory with a random changepoint. Residual prostate-specific antigens variability can be expressed as a function of prostate-specific antigens concentration. Covariates in the survival model can include : hormone therapy, baseline characteristics, and individual predictions of the prostate-specific antigens nadir and timing and prostate-specific antigens slopes before and after the nadir as provided by the longitudinal process.
Conditions
Interventions
- RADIATION
-
external beam radiation therapy
Sponsors & Collaborators
-
Institut National de la Santé Et de la Recherche Médicale, France
collaborator OTHER_GOV -
Institut Bergonié
lead OTHER
Principal Investigators
-
Carine Bellera, PhD · Institut Bergonié
Eligibility
- Min Age
- 18 Years
- Sex
- MALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2010-01-31
- Primary Completion
- 2017-01-01
- Completion
- 2017-01-01
Countries
- France
Study Locations
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