Validation of the <scp>C</scp>hinese version of the <scp>C</scp>og<scp>S</scp>tate computerised cognitive assessment battery in <scp>T</scp>aiwanese patients with heart failure
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To evaluate the validity of the Chinese version of the CogState battery, a computerised cognitive testing among patients with heart failure in Taiwan. BACKGROUND: Cognitive deficits are common in patients with heart failure and a validated Chinese measurement is required for assessing cognitive change for this population. The CogState computerised battery is a measurement of cognitive function and has been validated in many languages, but not Chinese. DESIGN: A cross-sectional study. METHODS: A convenience sample consisted of 76 women with heart failure and 64 healthy women in northern Taiwan. Women completed the Chinese version of the CogState battery and the Montreal Cognitive Assessment. Construct validity of the Chinese version of the battery was evaluated by exploratory factor analysis and known-group comparisons. Convergent validity of the CogState tasks was examined by Pearson correlation coefficients. RESULTS: Principal components factor analysis with promax rotation showed two factors reflecting the speed and memory dimensions of the tests. Scores for CogState battery tasks showed significant differences between the heart failure and healthy control group. Examination of convergent validity of the CogState found a significant association with the Montreal Cognitive Assessment. CONCLUSION: The Chinese CogState Battery has satisfactory construct and convergent validity to measure cognitive deficits in patients with heart failure in Taiwan. RELEVANCE TO CLINICAL PRACTICE: The Chinese CogState battery is a valid instrument for detecting cognitive deficits that may be subtle in the early stages, and identifying changes that provide insights into patients' abilities to implement treatment accurately and consistently. Better interventions tailored to the needs of the cognitive impaired population can be developed.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".