Pain relief and improved physical function in knee osteoarthritis patients receiving ongoing hylan G-F 20, a high-molecular-weight hyaluronan, versus other treatment options: data from a large real-world longitudinal cohort in Canada
Bibliographic record
Abstract
From the Southwestern Ontario database, one of the largest primary-care datasets in Canada, 1,263 patients with osteoarthritis (OA) of one or both knees were identified who received two consecutive series of intra-articular (IA) injections of hylan G-F 20 preparation and no other prescribed OA medications, and were evaluated fully between 2006 and 2012. A cohort of 3,318 demographically matched OA patients who had not been treated with IA injection therapy was identified from the same database for comparison. Responses to therapy were assessed by means of a 10-point visual analog scale (VAS) for pain at rest and after completion of a 6-minute walk test (6 MWT), while physical capacity was measured by performance in the 6 MWT itself. After two cycles of hylan G-F 20 therapy, the average VAS score for pain at rest declined from 7.82 ± 1.27 at baseline to 4.16 ± 1.51 (average change 3.66 ± 1.78, significantly more than the reduction of 3.12 ± 2.03 seen in the reference group [P < 0.012]) and the average VAS score for pain after the 6 MWT decreased by 5.56 ± 1.74 points (from 9.58 ± 0.4 at baseline to 4.02 ± 1.67 at the final assessment), a significantly larger change than that seen in the reference group (Δ2.99 ± 1.85; P<0.001 for intergroup comparison). Distance walked in the 6 MWT increased on average by 115 m, significantly more than that seen in the reference group (Δ91 m; P < 0.001 for intergroup comparison). These findings from a primary-care database suggest sustained benefits in terms of pain and physical function from repeat cycles of IA injections of hylan G-F 20 and no other prescribed OA medications in adults with OA of the knee.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".