Intraoperative systemic lidocaine for pre-emptive analgesics in subtotal gastrectomy: a prospective, randomized, double-blind, placebo-controlled study
Bibliographic record
Abstract
BACKGROUND: Pre-emptive intravenous lidocaine infusion is known to improve postoperative pain in abdominal surgery. We assessed the effect of intravenous lidocaine infusion in patients who underwent subtotal gastrectomy. METHODS: We conducted a double-blind, placebo-controlled study with patients undergoing subtotal gastrectomy for early gastric cancer divided into 2 groups: 1 group received intravenous lidocaine infusion preoperatively and throughout surgery, and the other received normal saline infusion (placebo). We assessed postoperative outcomes, including pain scores on a visual analogue scale (VAS), administration frequency of patient-controlled analgesia (PCA) and the amount of consumed fentanyl. Postoperative nausea and vomiting, length of hospital stay (LOS), time to return to regular diet and patient satisfaction at discharge were evaluated. RESULTS: There were 36 patients in our study. Demographic characteristics were similar between the groups. The VAS pain scores and administration frequency of PCA were significantly lower in the lidocaine group until 24 hours after surgery, and fentanyl consumption was significantly lower in this group until 12 hours postoperatively compared with the placebo group. The total amount of consumed fentanyl and the total administration frequency of PCA were significantly lower in the lidocaine than the control group. No significant differences were detected in terms of nausea and vomiting, return to regular diet, LOS and patient satisfaction, and there were no reported side-effects of lidocaine. CONCLUSION: Intravenous lidocaine infusion reduces pain during the postoperative period after subtotal gastrectomy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".