Similar improvements in patient-reported outcomes for non-specific low back pain patients with and without lumbar spinal stenosis symptoms following a structured education and exercise therapy program
Bibliographic record
Abstract
BACKGROUND: People with nonspecific low back pain (NSLBP) can also experience overlapping symptoms of lumbar spinal stenosis (LSS), but the impact on treatment outcomes is unknown. This study investigated differences in treatment outcomes for disability, back pain intensity, and leg pain intensity following an education and exercise therapy program for NSLBP patients with and without comorbid LSS symptoms. METHODS: This was a longitudinal analysis of 655 Danish participants in the GLA:D® Back program; an education and exercise therapy program for people with persistent NSLBP. Participants were classified as having comorbid LSS symptoms based on self-report. Linear mixed models were used to assess differences in change in disability (Oswestry Disability Index [0-100]) and back and leg pain intensity (Numeric Rating Scale [0-10]) at 3-, 6-, and 12-months between those with and without LSS symptoms. RESULTS: 28% of participants reported LSS symptoms. No certain differences in change in disability or back pain intensity improvement were observed at any time-point between those with and without LSS symptoms. Participants with LSS symptoms had slightly greater improvement in leg pain intensity at 6- (-0.7, 95% CI -1.2 to -0.2) and 12-months (-0.6, 95% CI -1.2 to -0.1). CONCLUSION: Compared to those without LSS symptoms, patients with persistent NSLBP and LSS symptoms can expect similar improvements in disability and back pain intensity, and slightly greater improvements in leg pain intensity with treatment. Therefore, education and exercise therapy programs designed for NSLBP are likely helpful for those also experiencing LSS symptoms.
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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) | 0.001 | 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) | 0.000 | 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".