Efficacy of Dexamethasone-Enhanced Transversus Abdominis Plane Block for PostoperativePain Management in Pediatric Laparoscopic Surgeries: A Prospective Randomized Trial
Bibliographic record
Abstract
Background amp Objectives Pediatric pain management is often inadequate due to unique challenges and treatment limitations. This study evaluates the effectiveness of ultrasound-guided transversus abdominis plane TAP block with 0.2 Ropivacaine alone versus TAP block with 0.2 Ropivacaine and Dexamethasone as an adjuvant in pediatric patients undergoing elective laparoscopic abdominal surgery.Methods A total of 90 pediatric patients aged between 8-16 years belonging to ASA I and II scheduled for elective laparoscopic abdominal surgeries under general anesthesia were selected. Participants were divided into Group 1 TAP block was performed under USG guidance with 0.5 mlkg 0.2 Ropivacaine. Group 2 TAP block with 0.5 mlkg 0.2 Ropivacaine with Dexamethasone 0.3 mgkg. A standard anesthesia technique was followed. After surgery patients were observed in the post-anesthesia care unit. Quality of analgesia was assessed using the CHEOPS score Childrenrsquos Hospital Eastern Ontario Pain Scale in the immediate postoperative period and then at regular intervals postoperatively.Results The mean age of the study participants was 5.81 plusmn 1.96 years with a male preponderance 67. The primary outcome the first time to rescue analgesia was prolonged in the dexamethasone group P 0.000. CHEOPS score was statistically significant at 4 and 6 hours with a P-value of 0.01 and 0.00 respectively.Conclusion Our study concludes that ultrasound-guided transverse abdominis plane block with 0.2 Ropivacaine with dexamethasone as an adjuvant is a good alternative for postoperative analgesia compared to TAP block with 0.2 Ropivacaine alone
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".