ClinicalTrials.gov
public full text
Public Domain
Adequacy of Anaesthesia for Colonoscopic Procedures
The aim of this randomized prospective trial is to assess the utility of Adequacy of Anaesthesia technique (Response Entropy and Surgical Pleth Index) for monitoring pain perception intraoperatively and its influence on postoperative pain perception, both patients' and operators' satisfaction in patients undergoing colonoscopic procedures under intravenous sedation using propofol and fentanyl.
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
- Prediction of Hemodynamic Reactivity During General Anesthesia Using Analgesia/Nociception Index (ANI)#897492
- Influence of Variations of Systemic Venous Return on Analgesia Nociception Index (ANI) During General Anaesthesia#902973
- Comparison of Remifentanil as a Sole Agent or in Combination With Midazolam Versus Fentanyl/Midazolam During Sedation for Colonoscopy#833024
- A Comparison Between Dexmedetomidine and Propofol-fentanyl Infusions for Sedation for Colonoscopy Procedures#811998
- Evaluation of the Effectiveness of the Administration of Local Anesthetics Via Two Catheters Placed During Surgery, and Study of the Benefits on Respiratory Function and Therefore on Recovery Time#982074
Record · ID 865202
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