Percutaneous Radiofrequency Denervation in Patients With Contraindications for Total Hip Arthroplasty
Bibliographic record
Abstract
Multiple comorbidities sometimes represent a contraindication for total hip arthroplasty (THA). Major symptoms of patients with hip pain include groin, thigh, and trochanteric pain. Groin and thigh pain arise from sensory branches of the obturator nerve, whereas trochanteric pain arises from sensory branches of the femoral nerve. Between January 2009 and October 2010, eighteen patients with chronic hip pain with several contraindications for THA were selected for a prospective study. Predenervation diagnosis was osteoarthritis in 16 patients and prolonged postoperative hip pain in 2 (1 THA, 1 Girdlestone). Hip joint pain was treated by percutaneous radiofrequency lesioning of the sensory branches of the obturator and femoral nerves. Six-month follow-up data revealed a statistically significant decrease in visual analog scale (VAS) scores and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, and a statistically significant increase of Harris Hip Score. Before radiofrequency and at 6-month follow-up, mean VAS scores were 9.52 (range, 7-10; standard deviation [SD], 0.79) and 6.35 (range, 3-10; SD, 2.17), respectively; mean Harris Hip Scores were 28.64 (range, 19-41; SD, 6.98) and 43.88 (range, 23-71; SD, 16.38), respectively; and mean WOMAC scores were 75.70 (range, 92-59; SD, 9.70) and 63.70 (range, 78-44; SD, 11.37), respectively. All values were statistically significant (P<.05) for Student's t test and Wilcoxon signed-rank test. Eight patients reported ≥50% pain relief at 6-month follow-up. No side effects were reported. Use of this technique for hip pain control is controversial. In our experience, percutaneous radiofrequency lesioning of the sensory branches of the nerves innervating the hip joint can be an option for patients with intractable hip joint pain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| 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) | 0.001 | 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".