P4–101: Establishment of a database on aging and dementia in the Philippines
Bibliographic record
Abstract
Databasing is an effective strategy to facilitate the efficient conduct of research and an opportunity to collaborate with other researchers of similar interest. There are multiple databases on aging and dementia around the world but no such database exists in the Philippines. This paper is to describe the creation of the database on aging and dementia in the Philippines and to present its initial results. The St. Luke's Memory Center which was established in 2001 uses standardized data collection methods adapted from the Washington University in Saint Louis Alzheimer's Disease Research Center (ADRC). Its community study site in Marikina Valley uses a shorter method adapted from the Minimum Data Set (MDS) of the National Alzheimer's Coordinating Center (NACC).[i]E ligible subjects from both sources were enrolled in the database. The following were collected: subject demographics, informant demographics, subject family history, medications, health history, physical examination and the Hachinski Ischemic Score, Clinical Dementia Rating and clinician diagnosis, Philippine versions of the Montreal Cognitive Assessment (MoCA), Geriatric Depression Scale (15-item), Neuropsychiatric Inventory short form (NPI-Q), and the Disability Assessment in Dementia (DAD). Neuropsychological tests like Mini Mental State Examination (MMSE), Logical Memory Immediate and Delayed Recall from the WMS-R, short version of Boston Naming Test (BNT), verbal fluency, Digit Span and Digit Symbol subtests of the Wechsler Adult Intelligence Scale (WAIS), and Trail Making Test A and B were collected from Memory Center subjects. Neuroimaging and APOE genotyping were collected on those who agreed. [i] https://www.alz.washington.edu. Table 1. The strength of this database is the collection and measurement of the core set of variables recommended by the Unified Data Set (UDS) which permits collaboration. A website is being developed facilitate collaboration. The team involved is multidisciplinary: Neurology, Geriatrics, Allied Health Professionals like Nurses, Psychologist, Speech and Language Pathologist, Occupational therapist and Medical Anthropologist. Only 18% underwent genotyping and fewer had neuroimaging. Use of biomarkers is limitation due to limited funding. A database on aging and dementia has been established in the Philippines. It integrates memory center and community data using the core variables of the UDS. Initial findings are presented.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".