Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Performance Evaluation of Urine DNA Methylation Testing for the Detection of Urothelial Carcinoma in Patients With Hematuria

Changhai Hospital · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
bladder-cancer
Background Urothelial carcinoma (UC) is the most common malignancy of the urinary system. Hematuria is a significant clinical manifestation of UC, often diagnosed through invasive procedures. Urine DNA methylation testing is a promising non-invasive method for early UC detection. Objectives To evaluate the sensitivity and specificity of urine DNA methylation testing for detecting UC in patients with hematuria, using standard clinical and pathological diagnoses as the gold standard. This study also aim to investigate the association between preoperative urine DNA methylation status and prognosis in UC patients. For non-UC patients: Follow up for one year to assess the risk of UC development based on preoperative urine DNA methylation status. Sample Size Calculation Expected sensitivity: 86% Expected specificity: 90% Significance level (Alpha): 0.05 Total participants needed: 1053 (adjusted for 5% dropout rate, 1109 participants will be recruited). Study Procedure Enrollment and Sample Collection: Screen patients, obtain consent, collect urine samples. Blinding and Testing: Blinded sample processing and DNA methylation testing. Unblinding and Analysis: Statistical analysis of sensitivity and specificity. Reporting: Compilation and consolidation of clinical trial reports. Urine DNA methylation testing is expected to demonstrate high sensitivity and specificity for diagnosing urothelial carcinoma (UC) in patients with hematuria. This non-invasive diagnostic method promises to deliver valuable information, potentially leading to improved patient outcomes.
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

Record · ID 841542
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