Effects of individual shock wave therapy <i>vs</i> celecoxib on hip pain caused by femoral head necrosis
Bibliographic record
Abstract
BACKGROUND: Celecoxib has been used to treat hip discomfort and functional difficulties associated with osteonecrosis of the femoral head (ONFH), although significant adverse reactions often follow long-term use. Extracorporeal shock wave therapy (ESWT) can delay the progression of ONFH, alleviate the pain and functional limitations it causes, and avoid the adverse effects of celecoxib. AIM: To investigate the effects of individual ESWT, a treatment alternative to the use of celecoxib, in alleviating pain and dysfunction caused by ONFH. METHODS: = 36; individual focused shock wave [ESWT based on magnetic resonance imaging three-dimensional (MRI-3D) reconstruction] + alendronate). The outcomes were assessed at baseline, at the end of treatment, and at an 8-wk follow-up. The primary outcome measure was treatment efficiency after 2 wk of intervention using the Harris hip score (HHS) (improvement of 10 points or more from the baseline was deemed sufficient). Secondary outcome measures were post-treatment HHS, visual analog scale (VAS), and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores. RESULTS: wk after treatment, HHS and VAS scores were different between groups, with the difference in HHS lasting until week 4. Neither group had severe complications such as skin ulcer infection or lower limb motor-sensory disturbance. CONCLUSION: Individual shock wave therapy (ESWT) based on MRI-3D reconstruction was not inferior to celecoxib in managing hip pain and restrictions associated with ONFH.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".