Efficacy of pre-incisional peritonsillar infiltration of ketamine for post-tonsillectomy analgesia in children.
Bibliographic record
Abstract
OBJECTIVE: To assess the efficacy of pre-incisional peritonsillar infiltration of two doses of ketamine on postoperative analgesia compared with peritonsillar normal saline in children undergoing tonsillectomy. STUDY DESIGN: Double blind, randomized controlled trial. PLACE AND DURATION OF STUDY: Department of Anaesthesiology, Surgical Intensive Care and Pain Management, Civil Hospital, Karachi, Dow University of Health Sciences, from August 2008 to January 2009. METHODOLOGY: Seventy-five ASA physical status one patients, aged 5 - 12 years scheduled for tonsillectomy were enrolled in this study. Patients were divided into three groups of 25 each. Group-A received normal saline, Group-B, ketamine 0.5 mg/kg while group-C ketamine 1 mg/kg respectively. All medications were 2 ml and were applied 1 ml per tonsil; 3 minutes before tonsillectomy incision. Anaesthesia was induced and maintained with standard technique. All patients were monitored throughout surgery. The Children's Hospital of Eastern Ontario Pain Scale (CHEOPS) and Wilson sedation scale were used to evaluate pain levels and sedation respectively after operation. RESULTS: Mean duration of analgesia was significantly higher in group-C (17.28 ± 5.33 hours) as compared to group-B (11.36 ± 4.15 hours) and A (3.2 ± 0.71 hours) as well as group-B was also significantly higher than group-A (p < 0.05). Group-A had significantly higher pain scores than group-B and group-C. Both B and C groups had comparable pain scores, which were statistically significant at 6 and 8 hours. CONCLUSION: Single 0.5 or 1 mg/kg injection of ketamine given before surgical incision by peritonsillar infiltration provides efficient pain relief during postoperative period without significant side-effects in children undergoing tonsillectomy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".