Applicability of the Telephone Interview for Cognitive Status (Modified) in a community sample with low education level: association with an extensive neuropsychological battery
Bibliographic record
Abstract
OBJECTIVE: To explore the applicability of a Portuguese (PT) version of the Telephone Interview for Cognitive Status (TICS), with a delayed recall item [modified (M)], here termed TICSM-PT, against an extensive (in-person) battery of neuropsychological instruments, in a sample of older individuals with low educational level and without clinically manifest/diagnosed cognitive impairment. METHODS: Following translation/back-translation and pilot testing in 33 community dwellers, 142 community dwellers aged 52 to 84 years (mean = 67.45, SD = 7.91) were selected from local health care centres for the study (convenience sampling; stratified age and gender). Cronbach's alpha was used to assess internal consistency, and convergent validity was evaluated through the correlation between TICSM-PT and the Mini Mental State Examination (MMSE), as well as with a comprehensive battery of cognitive instruments. Divergent/discriminant validity was assessed through a battery of psychological instruments. The receiver operating curve was determined for TICSM-PT to classify participants with and without possible indication of cognitive impairment. RESULTS: TICSM-PT showed a satisfactory internal consistency (Cronbach's alpha = 0.705), convergent validity and discriminant validity. TICSM-PT presented a positive association with the global cognitive measures Mini Mental State Examination and the Montreal Cognitive Assessment, and also with most neuropsychological parameters. Receiver operating curve curves presented a sensitivity of 90.6% and specificity of 73.7%. The area under the curve statistic yielded a threshold score equal or below 13.5 for cognitive impairment. CONCLUSION: TICSM-PT is a practical tool for rapid cognitive assessment among older individuals with low educational background.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".