Psychometric validation of comprehensive coordination scale to assess the advanced coordination ability in people with stroke
Bibliographic record
Abstract
BACKGROUND AND AIM: The aims of this study were to investigate the psychometric property of the Comprehensive Coordination Scale (CCS) in people with stroke. DESIGN: Cross-sectional design. SETTING: University based neurorehabilitation laboratory. POPULATION: Sixty-two people with stroke (33 men; mean ages=67.1±6.4 years; 8.8±4.9 years) and 31 healthy older adults (10 men, mean ages=65.9±4.2 years). METHODS: CCS was conducted on the subjects, followed with ARAT, BBS, LOS, MoCA, and SF-12muscle strength test, Fugl-Meyer Assessment of Lower Extremity (FMA-LE) and Upper Extremity (FMA-UE), muscle strength, Montreal Cognitive Assessment (MoCA), Action Research Arm Test (ARAT), Berg Balance Scale (BBS), Limit of Stability (LOS) test and 12-Item Short Form Survey (SF12). RESULTS: There was a significant difference (P<0.001) of CCS score between people with stroke (mean difference=48.0±13.5) and healthy older adults (mean difference=62.9±12.1). CCS showed excellent test-retest reliability (intraclass correlation coefficient (ICC)=0.953). The CCS-Total Score showed a significant positive correlation with the average muscle strength of affected side (dorsiflexors, plantarflexors, elbow flexor, and elbow extensor), FMA-UE score, FMA-LE Score, BBS Score, ARAT Score, and LOS (EE and ME) (r=0.387-0.857, P<0.007) in this study. The CCS-total score of 62.5 (sensitivity 83.9%; specificity of 83.9%; AUC=0.892, P<0.001) was shown to distinguish the walking performance between people with stroke and healthy older adults. CONCLUSIONS: The CCS is a reliable, valid and objective assessment tool for evaluating the motor coordination in people with stroke. The CCS exhibited good diagnostic power for distinguishing the coordination ability of individuals with stroke from that of healthy older adults. CLINICAL REHABILITATION IMPACT: Therefore, the CCS is recommended for use in clinical settings to provide a detailed and comprehensive assessment of motor coordination impairment in stroke survivors.
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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 | 0.003 | 0.009 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".