Clinical Outcomes in Neurogenic Claudication Using a Multimodal Program for Lumbar Spinal Stenosis: A Study of 49 Patients With Prospective Long-term Follow-up
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to assess long-term outcomes of a 6-week multimodal program (manual therapy, exercises, and self-management strategies) in patients with neurogenic claudication due to degenerative lumbar spinal stenosis. METHODS: This study evaluated 49 patients with neurogenic claudication who completed a 6-week multimodal program between 2010 and 2013. Outcomes included Oswestry Disability Index (ODI), Zurich Claudication Questionnaire (ZCQ), and Numeric Rating Scale. Mean differences, paired t tests, and the Wilcoxon rank-sum test were used to compare outcomes at baseline, 6 weeks, and long-term follow-up. RESULTS: Twenty-three patients completed the follow-up questionnaire (47% response rate). Median follow-up was 3.6 years (interquartile range: 3.3-4.6). The mean age was 73.5 years (standard deviation: 8.5). Between baseline and long-term follow-up, there were statistically significant and clinically important improvements in disability (ODI: -23.7 [95% confidence interval (CI): -15.7 to -31.6]; ODI walking item: -1.96 [95% CI: -1.34 to -2.57]; ZCQ function scale: -0.42 [95% CI: -0.10 to -0.70]) and pain (leg pain: -3.53 [95% CI: -1.80 to -5.20]; ZCQ symptom scale: -0.71 [95% CI: -0.30 to -1.10]), but not low back pain (Numeric Rating Scale: -1.03 [95% CI: -1.00 to 3.10]). There was no statistically significant change in any outcomes between 6 weeks and long-term follow-up. CONCLUSION: In a sample of patients with neurogenic claudication participating in a 6-week multimodal program, clinically important improvements in leg pain and disability, but not low back pain while walking, were maintained in the long term (median duration of 3.6 years) when compared to baseline.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".