Poster 154 Exploration of the Walking Participation‐to‐Capacity Ratio in Persons with Neurogenic Claudication, Back Pain, or Asymptomatic Volunteers
Bibliographic record
Abstract
A. J. Haig, Ownership or partnership: Haig et al., Consulting LLC; Non-remunerative positions of influence, The International Rehabilitation Forum; The International Society for Physical and Rehabilitation Medicine; Non-remunerative positions of influence; The University of Michigan. While reversal of pathophysiology and improvement in capacity are important intermediate goals of many medical, surgical, and rehabilitation interventions, the improvement of actual participation in the community is the ultimate goal for most patients. Activity monitors can now measure daily walking participation. Since the principal impairment from neurogenic claudication is walking the current study hopes to examine factors that impact the ratio of walking participation:capacity (P:C) in that population and control groups. Variation in P:C ratio may disclose barriers to full participation that are psychological or social. Prospective, controlled, NIH-funded trial. University clinic. Persons age 50-85 with clinician-diagnosed mechanical back pain, neurogenic claudication, and asymptomatic volunteers. 6-minute walk test (capacity), 7 day activity monitor (participation), masked physical examination, multiple standardized surveys. Relationship of variables to the P:C ratio, defined as (average daily steps on activity monitor )/( steps taken during the 6 minute walk test). 29 claudicants, 27 mechanical back pain and 33 asymptomatic volunteers completed the trial, with P:C ratios of 9.7 (s.d. 7.3), 9.3 (s.d. 3.9) and 10.7 (s.d. 5.6), respectively. The P:C ratio did not relate (P>.05) to medical issues (diagnosis, visual analog pain, Pain Disability Index, McGill, obesity, age, sex), psychosocial issues (education, Tampa kinesiphobia scale, CESD Depression scale) or any SF-36 quality of life component. Surprisingly this extensive evaluation did not find factors that relate to optimization or diminution of participation, given a certain level of disability. In a larger group, in other populations, or in other diseases, parameters that alter the P:C ratio might help guide rehabilitation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".