Comparison of non-surgical treatment methods for patients with lumbar spinal stenosis: protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Lumbar spinal stenosis is the most common reason for spinal surgery in older adults. Previous studies have shown that surgery is effective for severe cases of stenosis, but many patients with mild to moderate symptoms are not surgical candidates. These patients and their providers are seeking effective non-surgical treatment methods to manage their symptoms; yet there is a paucity of comparative effectiveness research in this area. This knowledge gap has hindered the development of clinical practice guidelines for non-surgical treatment approaches for lumbar spinal stenosis. METHODS/DESIGN: This study is a prospective randomized controlled clinical trial that will be conducted from November 2013 through October 2016. The sample will consist of 180 older adults (>60 years) who have both an anatomic diagnosis of stenosis confirmed by diagnostic imaging, and signs/symptoms consistent with a clinical diagnosis of lumbar spinal stenosis confirmed by clinical examination. Eligible subjects will be randomized into one of three pragmatic treatment groups: 1) usual medical care; 2) individualized manual therapy and rehabilitative exercise; or 3) community-based group exercise. All subjects will be treated for a 6-week course of care. The primary subjective outcome is the Swiss Spinal Stenosis Questionnaire, a self-reported measure of pain/function. The primary objective outcome is the Self-Paced Walking Test, a measure of walking capacity. The secondary objective outcome will be a measurement of physical activity during activities of daily living, using the SenseWear Armband, a portable device to be worn on the upper arm for one week. The primary analysis will use linear mixed models to compare the main effects of each treatment group on the changes in each outcome measure. Secondary analyses will include a responder analysis by group and an exploratory analysis of potential baseline predictors of treatment outcome. DISCUSSION: Our study should provide evidence that helps to inform patients and providers about the clinical benefits of three non-surgical approaches to the management of lumbar spinal stenosis symptoms. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01943435.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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".