Postoperative Continuous Paravertebral Anesthetic Infusion for Pain Control in Posterior Cervical Spine Surgery
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Bibliographic record
Abstract
INTRODUCTION: Patients who undergo posterior cervical spinal fusion procedures frequently experience significant postoperative pain. Use of a local anesthetic continuous infusion pump after surgery may improve these outcome variables. METHODS: After posterior cervical spine fusion procedures, 25 consecutive patients received continuous infusion of 0.5% bupivacaine into the subfascial aspects of the wound via an elastomeric pump. Data were collected prospectively by third party assessment using standard nursing protocols. This included numeric pain scores and opiate use over the first 4 postoperative days (PODs), length of hospitalization, and complications. In a retrospective analysis, we compared each study patient to a control patient who did not receive the continuous infusion of bupivacaine. Demographic variables and surgical procedure were similar among matched cases. RESULTS: Patients receiving continuous local anesthetic infusion used significantly less narcotics (P < .05) during the first 4 PODs: 24.4% on day 1, 34.1% on day 2, 53.5% on day 3, and 58.1% on day 4. A lower average pain score was observed among study patients on each POD (P < .05): 31.5% less on day 1, 13.0% on day 2, 24.0% on day 3, and 35.7% on day 4. Patients with the infusion device were discharged home earlier (POD 4.9 versus 6.7; P = .024) and demonstrated improvement in time to ambulation, first bowel movement, and discontinuation of the patient-controlled analgesia machine. No complications were associated with the device. CONCLUSION: Patients with the local anesthetic continuous infusion device required less narcotics and reported lower pain scores than control patients on each of the first 4 PODs. These results suggest that continuous infusion of local anesthetic into the paravertebral tissue during the immediate postoperative period is a safe and effective technique that achieves lower pain scores and narcotic use and improves multiple postoperative outcome variables.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it