Associations between comorbid lumbar spinal stenosis symptoms and treatment outcomes in 6,813 patients with knee or hip osteoarthritis following a patient education and exercise therapy program
Bibliographic record
Abstract
Objective: People with knee or hip osteoarthritis (OA) can experience comorbid lumbar spinal stenosis (LSS), but the impact on treatment outcomes is unknown. The aim of this study was to investigate associations between comorbid LSS symptoms and changes in pain, function, and quality of life following a patient education and exercise therapy program. Design: This was a longitudinal analysis of 6813 participants in the Good Life with osteoArthritis in Denmark (GLA:D®) program; a structured patient education and exercise therapy program for knee and hip OA. Participants were classified as having comorbid LSS symptoms based on self-report symptom items. Linear mixed models were used to assess differences in change in pain, function, and quality of life outcomes (0 worst to 100 best) at 3- and 12-month follow-up. Results: 15% and 23% of knee and hip OA participants had comorbid LSS symptoms, respectively. Knee participants with comorbid LSS symptoms had smaller improvement in pain at 3-months (-1.7, 95% CI -3.3 to -0.1) and hip participants with comorbid LSS symptoms had greater improvement in function at 3- (2.5, 95% CI 0.5 to 5.0) and 12-months (3.8, 95% CI 0.9 to 6.6), when compared to those without LSS symptoms. These differences were not clinically significant and no differences in other outcomes were observed. Conclusion: Knee or hip OA patients with comorbid LSS symptoms should expect similar improvements in knee- or hip-related pain, function, and quality of life outcomes when undergoing a patient education and exercise therapy program compared to those without LSS symptoms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".