Development and validation of the Ascertain Dementia 8 (<scp>AD8</scp>) Thai version
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Bibliographic record
Abstract
BACKGROUND: The Ascertain Dementia 8 (AD8) is a brief informant-based questionnaire which reliably distinguishes patients with neurocognitive disorder (NCD) and normal cognition. Our objective was to translate the AD8 into Thai and test its validity as a potentially useful measure to detect patients with the mild stage of major NCD due to Alzheimer disease (major NCD-AD). METHODS: Evaluations of 144 informant-patient dyads were made. Participants were patients who attended the memory clinic at Ramathibodi Hospital and non-patient volunteers. The AD8-Thai version was administered separately from doctor's interviews and neuropsychological assessments. Diagnostic workups included a complete medical history, physical and neurological examinations, neuropsychological testing, the Clinical Dementia Rating Scale-Sum of Boxes (CDR-SOB), Montreal Cognitive Assessment (MoCA), blood tests and brain imaging, preferably with magnetic resonance imaging. All researchers were blinded to the AD8 results. RESULTS: An AD8 score ≥3 had a sensitivity of 95.5%, a specificity of 89.5%, a positive predictive value of 84%, and a negative predictive value of 97.1% for screening major NCD-AD and those with normal cognition. A subgroup analysis with participants aged ≥65 years and with ≥12 years of education revealed comparable ability to the whole group. AD8 scores had a moderate negative relationship with MoCA scores (r = -0.470) and a strong positive relationship with CDR-SOB scores (r = 0.547). The performance of AD8 scores in differentiating mild NCD from normal cognition was not as good as for major NCD-AD. CONCLUSIONS: AD8-Thai version is an acceptable screening tool for major NCD-AD. For patients aged 65 years or older, with at least 12 years of education, and with cognitive complaints in memory clinic, an AD8-Thai score of 3 or more would be sufficient to work on major NCD diagnosis. The performance of the AD8-Thai in mild NCD needs further investigation.
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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 | 0.001 |
| 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 it