Normative Data for Healthy French-Speaking Persons Aged 80 Years and Older for the DTLA Language Screening Test
Bibliographic record
Abstract
The Detection Test for Language Impairments in Adults and the Aged (DTLA) is a quick, sensitive, and standardized screening test designed to assess language disorders in adults and elderly people. The test was specifically developed to detect linguistic impairment associated with major neurocognitive disorders. In 2017, we established normative data on 545 healthy individuals between 50 and 80 years old from four French-speaking countries: Belgium, Canada (Quebec), France, and Switzerland. OBJECTIVE: The objective of the present study was to develop norms for the population older than 80 years of age for the DTLA. METHOD: We extend the original normative data to include 149 healthy, community-dwelling, French-speaking adults aged 80 years old and older from the same countries. RESULTS: For the total score of the screening test, we calculated the 5th, 15th, 25th, and 50th percentiles for two education groups. The analyses allowed the identification of cutoff and alert scores based on education level. CONCLUSIONS: With the present study, solid normative data for the DTLA derived from the performance of 694 healthy, community-dwelling adults, and elderly people are now available to clinicians and researchers.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".