Erprobung des MEC-Tests bei kognitiven Kommunikationsstörungen bei leichten kognitiven Beeinträchtigungen und demenziellen Erkrankungen
Bibliographic record
Abstract
Zusammenfassung Zusammenfassung Bei demenziellen Erkrankungen können die sprachlichkommunikativen Fähigkeiten in variabler Art betroffen sein. Trotzdem fehlen im deutschsprachigen Raum geeignete Standardverfahren zur Diagnostik dieser kognitiven Kommunikationsstörungen. Diese Studie beschäftigt sich mit der Erprobung der Anwendbarkeit des MEC-Tests bei dieser Zielgruppe. 16 Patient*innen mit MCI oder leichtgradiger Demenz wurden mit der CERAD Batterie und mit dem MECTest getestet. Bei 94,1% war der MEC-Test durchführbar. Die Durchführungsdauer von durchschnittlich 72,7 Minuten stand nicht im Zusammenhang mit der CERAD. Die Durchführungsdauer unterschied sich zwischen Patienten mit neurodegenerativer vs. affektiver Genese. Jede/r Patient*in zeigte in durchschnittlich 9 Untertests einen Wert unter dem klinischen Trennwert. Die Leistung im MEC stand in Zusammenhang mit der CERAD. Insgesamt wurden sieben der 14 MEC-Untertests aufgrund von Bodeneffekten oder fehlenden Zusammenhängen mit der CERAD als ungeeignet für die Zielgruppe identifiziert. Zusammenfassend ließ sich eine Auswahl an Subtests des MEC-Testverfahren bei dieser Zielgruppe gut anwenden. Schlüsselwörter: Diagnostik, Demenz, Mild Cognitive Impairment (MCI), Logopädie/Sprachtherapie, kognitive Kommunikationsstörung Abstract Dementia is associated with language and communication deficits. However, standardized diagnostic instruments for the assessment of communication disorders for this population are scarce. Therefore, the present study explores whether the Montreal Evaluation of Communication (MEC) test can be applied to persons with dementia or mild cognitive impairment (MCI). Sixteen patients were tested with the (CERAD) and MEC tests. The MEC test could be completely administered in 94.1%. The average duration of 72.7 minutes was not correlated with the Consortium to Establish a Registry for Alzheimer's Disease CERAD score but differed between neurodegenerative vs. affective etiology. Patients showed language/communication deficits in 9 of the MEC sub-tests. Average performance on the MEC test was correlated with the CERAD score. Seven of the 14 MEC subtests were identified as unsuitable for dementia or MCI because of floor effects in performance or poor association with the CERAD. To conclude, the MEC test can be administered to patients with dementia or MCI, particularly a selection of a sub-set of 14 tests. Keywords: diagnostics, dementia, mild cognitive impairment (MCI), speech-language therapy, cognitive communication disorder
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".