Current Strategies in Regional Anesthesia for Shoulder Surgery
Bibliographic record
Abstract
As arthroscopic and open shoulder surgery is increasingly performed on an outpatient basis, optimal and prolonged pain control is becoming more important while minimizing associated adverse effects. Traditional analgesic strategies relying on opioid and nonopioid medications provide inadequate pain control and are associated with undesirable adverse effects, such as opioid-related adverse effects (postoperative nausea and vomiting, respiratory depression, sedation), gastric lining irritation, and renal and hepatic adverse effects. Advances in ultrasonography-guided regional anesthesia have made placement of interscalene brachial plexus nerve blocks more reliable and precise and aided development of novel phrenic nerve-sparing peripheral nerve block techniques that decrease the risk of diaphragmatic paresis and dyspnea. Using a brachial plexus block combined with multimodal medications is the preferred method to provide comprehensive analgesia to target multiple pain pathways for additive or synergistic pain control effects in the perioperative period while minimizing opioid medication usage. An understanding of current anesthetic and analgesic strategies can lead to an improved pain management pathway and outcomes in patients undergoing shoulder surgery.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".