Estimation of minimal clinically important difference for 6‐minute walking distance in patients with acute stroke using anchor‐based methods and credibility instruments
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Stroke impairs a patient's ability to walk. In patients with acute stroke, a 6-min walking distance (6MWD) is recommended to assess walking function. Minimal clinically important difference (MCID) is used to determine the effectiveness of rehabilitation; however, the MCID for 6MWD has not been adequately validated. This study aimed to estimate the MCID of 6MWD, a measure of walking endurance, in patients with acute stroke using anchor-based methods. METHODS: Based on the change in 6MWD from baseline to the follow-up measurement 2 weeks later, the MCID was estimated using anchor-based methods (receiver operator operating characteristic curves, predictive and adjustment models) with a patient- and therapist-rated global rating of change scale (p-GRC, t-GRC) as external anchors. The accuracy of "meaningful change" was estimated from the area under the curve. Using MCID's credibility instruments, the credibility of each anchor was evaluated. Using the credibility instrument, high credibility was defined as satisfying 3/5 of the Core criteria and 6/9 of all criteria. RESULTS: The analysis included 58 patients. The MCID for each anchor was 78.7-100.0 m for p-GRC, and 95.2-99.5 m for t-GRC. The p-GRC demonstrated excellent accuracy (area under the curve >0.8). With p-GRC as anchors, over 50% of patients showed improvement. The p-GRC satisfied the core criterion of 3/5 and all criteria of 6/9 on the reliability instrument. The t-GRC demonstrated low reliability and satisfied the core criterion of 2/5 and all criteria of 3/9. DISCUSSION: Since the percentage of improved groups exceeded 50%, the adjusted model was useful in the anchor-based method. Therapists may not accurately capture patient fatigue and subjective symptoms, potentially affecting the correlation between the 6MWD change score and the t-GRC and, consequently, the reliability instrument. The p-GRC showed high accuracy and reliability; therefore, the MCID was estimated to be 78.7 m.
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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 | 0.000 |
| 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".