Real World Prostate Cancer Registry
- Disease/Condition
- Prostate Cancer
- Study type
- Observational
- Primary sponsor
- Cincinnati Cancer Advisors
- Location
- Cincinnati, United States of America
- Phase
- N/A
- Start date
- Mar 18, 2024
- End date
- Mar 18, 2034
- Enrollment
- 1000 participants
To determine practice patterns for prostate cancer in the region.
Prostate cancer is the most common cancer diagnosed in men in the USA with 268,490 cases
 diagnosed in 2022 constituting 27% of male cancers and 34,500 deaths (11%) occurred in same
 year.1 Prostate cancer is a very heterogeneous disease that has different presentations,
 molecular and pathological features, stages, and disease biology. The treatment options are
 dependent on the disease stage, its features, and the patient's condition and preferences.
 The disease outcome also varies significantly due to the previous heterogeneity of the
 features in addition to other social determinants of health.
 
 Therefore, it is critical to obtain real-world data that reflects the actual patterns of
 prostate cancer presentation, work up, management, and outcome. Real World Prostate Cancer
 Registry (RWPCR) aims at compiling real world data from patients presented with prostate
 cancer in the tristate area. The data collection will be prospective and longitudinal
 including patients' demographics and disease characteristics, work up, management, and
 outcome.
- Registry
- ClinicalTrials.gov
- Trial ID
- NCT06355336
- Type
- Non-Device Trial
Access comprehensive clinical trial information for NCT06355336 through Pure Global AI's free database. This phase not specified trial is sponsored by Cincinnati Cancer Advisors and is currently Recruiting. The study focuses on Prostate Cancer. Target enrollment is 1000 participants.
This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.