Intraoperative Genicular Nerve Infiltration Offers Comparable Pain Control to Traditional Periarticular Injection After Total Knee Arthroplasty: A Randomized Controlled Trial
Bibliographic record
Abstract
Background: Postoperative pain in total knee arthroplasty (TKA) can hinder rehabilitation and impair functional outcomes. Periarticular injection (PAI) is commonly used method to mitigate postoperative pain. However, the optimal injection sites and volumes remain inconclusive. Genicular nerve infiltration (GNI), targeting 3 of the 6 primary genicular nerve branches, has shown promise in nonoperative osteoarthritis treatment. This study aimed to evaluate the efficacy of intraoperative PAI with GNI in reducing postoperative pain following TKA. Methods: This single-center, double-blinded, 3-arm randomized controlled trial enrolled 78 patients undergoing unilateral TKA (n = 26 per group). Patients were randomized to receive no injection (control), traditional PAI, or PAI with GNI targeting 3 genicular nerves. Bupivacaine was used in both injection groups. Primary outcomes included visual analog scale pain scores at rest and during motion. Secondary outcomes were opioid consumption, range of motion, modified Western Ontario and McMaster Universities Osteoarthritis scores, and adverse events. Outcomes were assessed at 24 and 48 hours and at 2 and 6 weeks postoperatively. Results: < .05). Outcomes between the PAI and GNI groups were comparable. Conclusions: Intraoperative GNI as part of PAI may be effective in reducing postoperative knee pain, opioid use, and improving knee extension following TKA. GNI offers a targeted, consistent, and potentially simplified alternative to conventional PAI techniques.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.001 | 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".