ClinicalTrials.gov
public full text
Public Domain
Impact of Peritoneal Gas Drain on Postoperative Pain for Gynaecological Cancer Patients With Minimally Invasive Surgery
This is a phase III, monocenter and randomized study, which evaluates the effectiveness of peritoneal gas drainage on postoperative pain in laparoscopic or robotic laparoscopic gynaecological surgery. This study aim is to assess the efficacy of active gas extraction with a drain (arm A) in comparison to manual evacuation (arm B,) in terms of pain incidence reduction linked to laparoscopic or robotic laparoscopic surgery.
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
- The Efficacy and Safety of Liposomal Bupivacaine for Transversus Abdominis Plane Block in Relieving Postoperative Pain After Laparoscopic Surgery in Gynecologic Oncology#832716
- Prospective Randomized Trial on Comparison of Standard- Carbon Dioxide Pressure Pneumoperitoneum Insufflators Versus AirSeal#880521
- Intrapleural Ropivacaine Infusion in Cardiac Surgery#890195
- Robotic Prostatectomy Artificial Intelligence Low Pressure Pain (RALP) Trial#901093
- Comparative Study on Postoperative Analgesia With Transversus Abdominis Plane Block to Local Anesthetic Infiltration With Ropivacaine in Laparoscopic Abdominal Surgery#857718
Record · ID 913032
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