Effect of the perioperative infusion of dexmedetomidine on chronic pain after breast surgery
Bibliographic record
Abstract
BACKGROUND: This prospective double-blind trial was undertaken to analyze the role of perioperatively administered dexmedetomidine on the occurrence of chronic pain in cases undergoing surgery for breast cancer. SUBJECTS AND METHODS: Eighty-six cases were randomly assigned to two groups to receive either dexmedetomidine (2 μg/ml) in group D or saline in group C, in a loading dose of 0.5 ml/kg, intravenous (IV), 30 min prior to induction, followed by a continuous infusion of 0.25 ml/kg/h IV till the completion of surgery, and then the dose tapered to 0.1 ml/kg/h for up to 24 h. The standardized questionnaires that measured chronic pain (Brief Pain Inventory, BPI; Short Form McGill Pain Questionnaire, SF-MPQ2) and quality of life (Quality of Life Scale, QOLS) were gathered after 3 months of surgery as a primary outcome. Pain (verbal numerical score, VNS), sedation scores (Ramsay scoring), and analgesic requirements were also assessed for 72 h postoperatively. RESULTS: In total, 84 cases (n=42) were analyzed for acute pain and 69 (34 in group D and 35 in group C) for chronic pain. The consumption of isoflurane/fentanyl intra-operatively and paracetamol postoperatively was significantly lower in Group D. The sedation scores were non-significant between the groups. The VNS at rest and after movement was significantly lower in group D at corresponding times (except at 60 min) throughout the assessment period. The BPI and SF-MPQ2 scores were significantly lower in group D in most of the factors. The QOLS score was significantly better in group D in all items except for relationships, friends, and learning. CONCLUSION: The perioperative infusion of dexmedetomidine has a pivotal role in attenuating the incidence and severity of chronic pain and improving the quality of life in cases undergoing breast cancer surgery.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".