ClinicalTrials.gov
public full text
Public Domain
Validity, Reliability and Minimum Detectable Changes of 2-Minute Walk , Timed Up and Go, Sit and Stand Test in Patients With Prostate Cancer
Prostate cancer is a type of cancer that can occur in men, especially in the fifth and sixth decades of their lives, and various side effects occur depending on the treatments applied in the diagnosed patients. The treatments applied and the decreased level of physical activity also cause a decrease in the quality of life. Recent studies have focused on treatment-related side effects. Before treatment planning, there is a need for clinically validated clinical evaluations specific to prostate cancer patients in order to determine the current status of the patients or to measure the effectiveness of the treatment applied. In addition, tests with a minimal detectable amount of change will be guiding in order to understand that the effectiveness of the applied treatment is significant. The aim of our study is to investigate the validity, reliability and minimal detectable changes of the two-minute walk, sit up and time up and go tests validated in different disease groups for patients with prostate cancer.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Effectiveness of Localized Prostate Cancer Treatments#882158
- The Effect of Multidisciplinary Care Approach on CV Risk Modification in CaP Patients Receiving ADT#825164
- The Utility of PSADv (PSA Density Velocity) While on Dutasteride for Predicting Prostate Cancer Incidence and Grade and Stage#978822
- The Metformin Active Surveillance Trial (MAST) Study#832028
- The Effectiveness of Treatment Options for Localized Prostate Cancer: A Meta-Analysis of Cross-Sectional and Cohort Studies#462413
Record · ID 1114914
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive