ClinicalTrials.gov
public full text
Public Domain
Effectiveness of the Music With Structured Verbal Training During Prostate Biopsy
Transrectal ultrasound (TRUS) guided prostate biopsy is a gold standard method widely used in the diagnosis of prostate cancer. This procedure can be very painful and anxious for men. Various pharmacological methods can be used to relieve patients' pain and discomfort during TRUS-guided prostate biopsy. Although there is still no consensus on the solution suggestions for pain and anxiety due to biopsy, it is known that music, which is a non-pharmacological method, is effective in this regard. The aim of this study is to evaluate the effect of music with structured verbal training on patients' pain, anxiety and satisfaction levels during transrectal ultrasound-guided prostate biopsy.
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
- Impact of music on pain perception during office-based transperineal prostate biopsy: a prospective non-randomized study#202248
- Effects of Music and Conversation in Prostate Biopsy#845696
- Music Intervention in Chronic Pain Patients#910813
- Effect of Music on Pain and Satisfaction in Infertile Patients Undergoing Hysterosalpingography#1127169
- Music Application in Patients Undergoing Percutaneous Coronary Intervention#838027
Record · ID 812449
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