Comparison of walking variations during treadmill walking test between neurogenic and vascular claudication: a crossover study
Bibliographic record
Abstract
BACKGROUND: Lumbar spinal stenosis (LSS) and peripheral arterial disease (PAD) are two distinct conditions characterized by similar symptoms including leg pain and walking limitations due to claudication. Differentiation between both origins can be difficult and characteristics such as symptom manifestations, time to relief in rest position and pain localization should be considered when determining diagnosis and the treatment plan. The objectives of this study were to compare changes in walking time to symptom change during treadmill tests and self-reported outcomes measures related to claudication, kinesophobia and global health between individuals with LSS, PAD and non-specific low back pain (nLBP). METHOD: Fifty-five patients (23 with LSS, 14 with PAD and 18 with nLBP) were recruited from May 2018 to March 2020 to complete a treadmill walking test involving two 5-min walking tasks (Upright and Forward Leaning Trunk (FLT) Walking tasks). The speed was set at 1.9 km/h (1.2 mph), and each task was followed by a 5-min rest period. Walking time to symptom change and Total walking time were recorded during each walking task. Patients were asked to complete four questionnaires related to the impact of claudication, walking impairment, kinesiophobia and global health. One-way ANOVAs were performed to compare walking time difference from the Upright to the FLT walking tasks and to compare questionnaires results between groups. RESULTS: One-way ANOVAs showed a significant difference between groups regarding difference in Walking time to symptom change between both tasks (F = 4.12, p = 0.022). The LSS group improved its Walking time to symptom change from the Upright to the FLT walking tasks more than the PAD (p = 0.34) and the nLBP group (p = 0.12). The nLBP group was less impacted by claudication and less impaired during walking compared to the LSS and PAD groups (ps < 0.001). The nLBP group also had less kinesiophobia than the LSS one (p < 0.001), but was similar to the PAD group. The global health rating was not statistically different between groups (p = 0.118). CONCLUSION: The test was able to distinguish neurogenic from vascular or nLBP related claudication. However, further studies are needed to validate this new treadmill walking test. TRIAL REGISTRATION: clinicaltrials.gov ( NCT04058171 ), Registered August 15, 2019 -Registered during recruitment.
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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".