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

Perioperative Tonsillectomy Protocol Development

London Health Sciences Centre · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
Open Source ↗
acetaminophen
Pediatric patients who are undergoing a tonsillectomy at the Children's hospital will be randomly assigned to one of three drug groups: 1) acetaminophen (Tylenol) administered pre-operatively and a low dose of anti-inflammatory drug (dexamethasone) administered intra-operatively; 2) acetaminophen (Tylenol) administered pre-operatively and a high dose of anti-inflammatory drug (dexamethasone) administered intra-operatively; 3) no acetaminophen (Tylenol) administered pre-operatively, low dose anti-inflammatory (dexamethasone) administered intra-operatively. The present study will evaluate differences in pain management and surgical complications across the three groups of drug regimens. Main study outcomes include: pain medication administration during surgery, use of pain killers at 1-week post-operation, subjective pain scores administered in the post-anesthesia care unit (PACU) and 1 week postoperation, fluid and food intake, and complication rates (i.e. postoperative bleed rate). The hypothesis is that pain will be lowest in the group that received Tylenol and high-dose dexamethasone (Group 2).
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 851947
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