Randomized, Double-Blind Trial of Dolasetron Versus Droperidol for Prophylaxis of Postoperative Nausea and Vomiting in Patients Undergoing TRAM Flap Breast Reconstruction Surgery
Bibliographic record
Abstract
In Brief Clinical observation indicates that patients undergoing transverse rectus abdominus musculocutaneous (TRAM) flap breast reconstruction surgery frequently experience postoperative nausea and/or vomiting (PONV). No controlled trials have evaluated the role of pharmacologic prophylaxis of PONV in this population. A prospective randomized, double-blinded, active-controlled trial comparing intraoperative intravenous droperidol 1 mg with dolasetron 50 mg was conducted. Seventy-one patients were included in the intention-to-treat analysis. The incidence of the primary end point of PONV within 24 hours after surgery was 81.8% versus 78.9% for droperidol and dolasetron, respectively (p = 0.8). No significant differences were detected in the time to onset of PONV, incidence of severe nausea or emesis, or incidence of emesis alone. Time to rescue antiemetic use was longer in the droperidol group (7.1 vs. 1.3 hours, p = 0.002). Adverse effects were similar between the two groups. No PONV-related complications occurred during the trial period. The incidence of PONV in TRAM flap breast reconstruction surgery patients remains high despite prophylactic intraoperative antiemetic administration. A prospective, randomized, double-blinded comparison study of intraoperative i.v. droperidol and dolasetron in 71 patients disclosed no significant difference in effectiveness between the two agents in control of nausea or emesis after TRAM-flap breast reconstruction.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".