Meniscus‐Targeted Injections for Chronic Knee Pain Due to Meniscal Tears or Degenerative Fraying: A Retrospective Study
Bibliographic record
Abstract
OBJECTIVES: Meniscal tears caused by acute trauma or degenerative fraying affect a wide array of individuals. An effective, long-lasting treatment has widely been sought after. Intra-articular corticosteroid injections have been among the methods of controlling pain for more than 60 years. However, such injections tend to produce short-lasting results, with profound effects lasting an average of up to 4 weeks. The purpose of this study was to determine the average duration and magnitude of pain relief after meniscal-targeted injections. METHODS: The electronic medical records of 135 patients were accessed for this retrospective chart review. Patients who had meniscal tears or degenerative fraying and were treated with meniscal-targeted injections were selected. Patients' visual analog scale (VAS) pain scores (before and after treatment) were recorded, along with the percentage of pain relief and duration of pain relief. RESULTS: Ultrasound-guided meniscus-targeted corticosteroid injections for meniscal tears or degenerative fraying produced 5.68 (SD, 5.28) weeks of pain relief on average, with a decrease in pain from initial to follow-up visits of 2.14 (P < .0001) as per the visual analog scale score, and an Integral of Pain Relief score of 3.98. CONCLUSIONS: Our findings indicate a substantial benefit from 20- or 40-mg meniscus-targeted triamcinolone injections, granted the limitations of chart review research and no control group comparison. Results highlight the need for future prospective research comparing meniscus-targeted injections with intra-articular injections to identify a better modality for treating patients with chronic knee pain caused by meniscal tears or degenerative fraying.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".