Efficacy of a single ultrasound-guided injection of high molecular weight hyaluronic acid combined with collagen tripeptide in patients with knee osteoarthritis and chondrocalcinosis
Bibliographic record
Abstract
Introduction: Osteoarthritis (OA) and calcium pyrophosphate deposition (CPPD) often co-exist, this resulting in a clinical condition characterized by amplified inflammation and more severe and faster cartilage degeneration compared to OA alone. Our study aims to explore the efficacy of a therapeutic approach that addresses both conditions, using a combination of a high molecular weight hyaluronic acid (HMWHA) and collagen tripeptide (CTP). Additionally, safety profile and baseline characteristic predictive value were evaluated. Methods: We conducted a retrospective study on patients diagnosed with symptomatic knee OA (KOA) and CPPD treated by ultrasound (US) guided intraarticular injections of HMWHA-CT in the outpatient clinics of the Interdisciplinary Pain Medicine Unit at Santa Maria Maddalena Hospital, Occhiobello, Italy and in the Rheumatology Unit of the Emergency County Hospital Craiova, Romania (ECH Craiova). All the patients underwent clinical and US evaluation at baseline, 1, 3, and 6 months. From clinical point of view, Numeric Rating Scale (NRS) pain and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) were recorded. US data included detection of synovitis, cartilage damage, osteophytes, and CPPD deposits. Clinical efficacy was defined with NRS and WOMAC variations in respect to baseline and using the minimal clinically important difference values: an improvement of 2 point for NRS pain and 10 for the total score for WOMAC. Results: Twenty-nine patients (34 knees) were injected and evaluated. Overall pain levels, as measured by NRS, demonstrated a consistent decrease in patients across all follow-up intervals, with the most substantial improvement at the 6-month compared to baseline measurements. A significative proportion of patients achieved the minimum clinically detectable improvement, specifically 79% for NRS and 83% for WOMAC (19 and 20 patients, respectively). Conclusion: Our data showed a significant efficacy of ultrasound guided HMWHA-CT, in patients with KOA and CPPD, thus making it reasonable to consider that the combination of HMWHA and CTP can provide a strong anti-inflammatory effect.
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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 | 0.001 |
| 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) | 0.001 | 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".