Variability in Pain Management Practices for Pediatric Anterior Cruciate Ligament Reconstruction
Bibliographic record
Abstract
BACKGROUND: The opioid epidemic in the United States is a public health crisis. Pediatric orthopaedic surgeons must balance adequate pain management with minimizing the risk of opioid misuse or dependence. There is limited data available to guide pain management for anterior cruciate ligament reconstruction (ACLR) in the pediatric population. The purpose of this study was to survey current pain management practices for ACLR among pediatric orthopaedic surgeons. METHODS: A cross-sectional survey study was conducted, in which orthopaedic surgeons were asked about their pain management practices for pediatric ACLR. The voluntary survey was sent to members of the Pediatric Orthopaedic Society of North America. Inclusion criteria required that the surgeon perform anterior cruciate ligament repair or reconstruction on patients under age 18. Responses were anonymous and consisted of surgeon demographics, training, practice, and pain management strategies. Survey data were assessed using descriptive statistics. RESULTS: Of 64 included responses, the average age of the survey respondent was 48.9 years, 84.4% were males, and 31.3% practiced in the southern region of the United States. Preoperative analgesia was utilized by 39.1%, 90.6% utilized perioperative blocks, and 89.1% prescribed opioid medication postoperatively. For scheduled non-narcotic medications postoperatively 82.8% routinely advocated and 93.8% recommended cryotherapy postoperatively.Acetaminophen was the most used preoperative medication (31.3%), the most common perioperative block was an adductor canal block (81.0%), and the most common postoperative analgesic medication was ibuprofen (60.9%). Prior training or experience was more frequently reported than published research as a primary factor influencing pain management protocols. CONCLUSIONS: Substantial variability exists in pain management practices in pediatric ACLR. There is a need for more evidence-based practice guidelines regarding pain management. LEVEL OF EVIDENCE: Level V.
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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 | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".