Spinal Cord Injury Functional Ambulation Profile: A Preliminary Look at Responsiveness
Bibliographic record
Abstract
BACKGROUND: The Spinal Cord Injury Functional Ambulation Profile (SCI-FAP) is a valid, reliable measure of walking skill (eg, walking while negotiating obstacles, doors, and stairs). OBJECTIVE: The responsiveness of the SCI-FAP was assessed at least 7 months after spinal cord injury (SCI) and compared with that of the 10-Meter Walk Test (10MWT) and the Six-Minute Walk Test (6MWT). DESIGN: A secondary analysis of data collected during a randomized, single-blind, crossover trial was performed. METHODS: Participants had incomplete SCI and could walk at least 5 m without manual assistance. After 3 or 4 baseline assessments, participants completed 2 months of precision training (stepping over obstacles and onto targets on the ground) and 2 months of endurance training (treadmill training with body weight support, if needed). Walking function was assessed with the SCI-FAP, 10MWT, and 6MWT. Internal responsiveness was evaluated through change scores and standardized response means (SRMs). External responsiveness was gauged by correlating change scores on the SCI-FAP, 10MWT, and 6MWT. The minimal detectable change was calculated from the standard error of measurement from the baseline assessments. RESULTS: The SCI-FAP scores improved with both interventions. The magnitude of change was greater for participants whose pretraining self-selected speed was less than 0.5 m/s. The SCI-FAP had moderate SRMs. The 10MWT (fastest speed) and 6MWT had the largest SRMs after precision training and endurance training, respectively. The minimal detectable change in the SCI-FAP was 96 points. LIMITATIONS: The convenience sample was small and all participants could ambulate independently (with devices); therefore, the generalizability of the findings is limited. CONCLUSIONS: The SCI-FAP was responsive to changes in walking ability in participants who had incomplete SCI and walked at slow speeds, but overall the 10MWT and 6MWT were more responsive.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".