Short- and mid-term clinical results of ultrasound-guided genicular nerve block in arthroplasty-related chronic postsurgical pain
Bibliographic record
Abstract
One-third of patients experience knee arthroplasty-related chronic postsurgical pain (CPSP), and CPSP negatively affects all dimensions of quality of life. We aimed to evaluate the short- and mid-term clinical results and success of ultrasound-guided genicular nerve block in patients with knee arthroplasty-related CPSP. The secondary outcome aimed to evaluate the relationship between clinical success and the presence of neuropathic pain. This study is a retrospective chart review of patients with knee arthroplasty-related CPSP who were referred to a pain clinic and were unresponsive to conservative treatments. We obtained the clinical evaluations of the patients at one, three, and six months before and after the procedure from patient records. We evaluated pain intensity with a 10-point numerical rating scale (NRS), the effects of knee pain on function with the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scoring system, and the presence of neuropathic pain with the Douleur Neuropathic Pain 4 Questions. We accepted the clinical success of the procedure as a 50% or more reduction in pain intensity. We evaluated a total of 21 patients. The therapy was successful in 13 (61.9%), 12 (57.1%), and 7 (33.3%) patients at the first, third, and sixth-month visits, respectively. There was a statistically significant difference between the NRS and WOMAC scores. At baseline, neuropathic pain was present in 61.9% (n = 13) of the patients, and its presence was not related to clinical success at the first, third, and sixth- month visits. Ultrasound-guided genicular nerve block relieves pain and improves short- and mid-term functionality for patients with knee arthroplasty-related CPSP. The study resulted in clinical success in two-thirds of the patients in the early period and one-third in the sixth month.
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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 | 0.004 |
| 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) | 0.001 | 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 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".