Effects of Botulinum Toxin Landmark‐Guided Intra‐articular Injection in Subjects With Knee Osteoarthritis
Bibliographic record
Abstract
BACKGROUND: Increasing evidence has suggested that botulinum toxin A (BoNT/A) can inhibit the release of selected neuropeptide transmitters from primary sensory neurons. Thus, intra-articular (IA) injection therapies with BoNT/A may reduce pain in patients with knee osteoarthritis (OA). OBJECTIVE: To investigate the effects of landmark-guided IA injection of BoNT/A on patients with knee OA. DESIGN: A prospective randomized controlled trial. SETTING: A rehabilitation clinic of a private teaching hospital. PATIENTS: A total of 46 patients with symptomatic knee OA (mostly Kellgren-Lawrence grade 2-3). METHODS: The patients were randomly assigned to 1 of the following groups: BoNT/A group (BoNT/A injection; n = 21) or control group (education only; n = 20). The patients in the BoNT/A group received an IA injection of 100 units of BoNT/A into the affected knee. MAIN OUTCOME MEASURES: The short-term (1 week posttreatment) and long-term (6 months posttreatment) effects were evaluated using a pain visual analogue scale (VAS) and questionnaires concerning functional status, including the Lequesne and Western Ontario and McMaster Universities (WOMAC) indexes. RESULTS: The between-group comparison revealed significant differences with regard to the pain VAS score at 1 week (P < .001) and at 6 months (P = .001) posttreatment. Similar findings for the between-group comparison were observed for the WOMAC and Lequesne indexes at 6 months (P < .05) posttreatment. The pain VAS score in the BoNT/A group significantly decreased from 5.05 ± 1.12 (pretreatment) to 2.89 ± 1.04 at 1 week (P < .001) and 3.45 ± 1.70 at 6 months posttreatment (P < .001) but not in the control group (P = .476). CONCLUSIONS: The IA injection of BoNT/A provided pain relief and improved functional abilities in patients with knee OA in both the short- and long-term follow-up. LEVEL OF EVIDENCE: I.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".