[P3–432]: A VISUAL COGNITIVE ASSESSMENT TOOL FOR THE DIAGNOSIS OF YOUNG‐ONSET DEMENTIA: A BIOMARKER‐SUPPORTED STUDY
Bibliographic record
Abstract
Background: Recent work has demonstrated the Montreal Cognitive Assessment (MoCA) and Visual Cognitive Assessment Test (VCAT) 1to be superior to MMSE in detecting cognitive impairment.However, the diagnostic performance of these cognitive screening tools is not well known in patients with young onset dementia (YOD) of the Alzheimer's type.Methods: Patients under the age of 65-year-old with memory complaints were recruited from the National Neuroscience Institute in a prospective study.Demographics, cognitive data and biomarker data including cerebrospinal fluid (CSF) were collected.Cognitive tests were administered by trained psychologists and CSF Amyloidb, total tau and phosphor-tau were performed using ELISA techniques.Sensitivity (Se), Specificity (Sp), Positive Predicting Value (PPV), Negative Predicting Value (NPV) were calculated for MMSE, MoCA and VCAT using a 2x2 table where patients were classified by their CSF results based on the Tau/Amyloidb Duit's score 2 (CSF negative¼ 0.52, CSF positive¼ >0.52,) and whether they were cognitively impaired based on a validated cut-off on the respective screening tools.VCAT individual domain scores were also correlated with domain-specified tests like the WMS story recall, REYS copy task, ADAS cancellation task, Boston Naming and Colour Trials 2. Results: A total of 29 Young Dementia patients with CSF Amyloidb and tau were recruited, and 16 of them fulfilled Duit's criteria for AD.Their mean (SD) age was 57.07 (6.65), mean (SD) year of education was 11.62 (4.18).44.8% were males and 75.9% were Chinese.MMSE attained the lowest Se of 68.75% while MoCA and VCATwere quite comparable on Se and PPVat 93.75% vs 87.50 % and 85.71% vs 84,62% respectively, VCAT performed the most favorably in Sp (84.62%) and PPV (87.50%).VCAT individual domains of memory (r¼0.836,p<0.001), visuo-spatial (r¼0.746,p<0.001), language (r¼0.732,p<0.001) and executive function (r¼0.793,p<0.001) showed significant correlation to the other domain-specific tests.Conclusions: Our results support that VCAT will be a useful and effective tool in the diagnosis of Young Onset dementia.The high performance of the VCAT in this cohort is likely related to the large range of cognitive domains tested, including visual perception and agnosia. 1 Kandiah N, et al.Early detection of dementia in multilingual populations: Visual Cognitive Assessment Test (VCAT).
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".