The Edinburgh Cognitive and Behavioural ALS Screen (ECAS) for Japanese ALS and FTD patients
Bibliographic record
Abstract
OBJECTIVE: Amyotrophic lateral sclerosis (ALS) patients might present with cognitive and behavioural abnormalities resembling frontotemporal dementia (FTD). The Edinburgh Cognitive and Behavioural ALS Screen (ECAS) was developed as an easy to administer cognitive screen for detecting these symptoms. The aim of the present study was to develop and validate a Japanese version of the ECAS. METHODS: In this single centre observational study, 35 ALS patients and 28 healthy controls were enrolled. Three patients in the ALS group fulfilled the criteria for behavioural variant FTD (ALS-FTD) and the rest were grouped as ALS without FTD. Participants were subjected to the Japanese version of the ECAS. ALS patients were also subjected to the Montreal Cognitive Assessment, Frontal Assessment Battery, ALS Functional Rating Scale-Revised, and respiratory function testing. Demographic and disease characteristics (e.g., sex, age at examination, and years of education) were also recorded. RESULTS: Internal consistency and correlations with general cognitive screenings were sufficient in the Japanese adaptation. Executive functions were the most commonly affected ECAS domain, followed by fluency and language. Compared to control subjects, ALS patients without FTD had low scores in the ECAS ALS-specific functions but not in ALS-nonspecific functions. Meanwhile ALS-FTD patients markedly underperformed both in the ECAS ALS-specific and ALS-nonspecific functions. Furthermore, the Japanese ECAS score correlated positively with years of education and negatively with age at onset. CONCLUSION: The Japanese version of the ECAS is a valid and useful screening tool to identify multiple types of cognitive impairment in ALS patients.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".