Patients in Australian Memory Clinics: baseline characteristics and predictors of decline at six months
Bibliographic record
Abstract
BACKGROUND: The Prospective Research In MEmory clinics (PRIME) is a three-year non-prescriptive, observational study identifying and measuring relationships among predictor and outcome variables. METHODS: Patients from nine memory clinics, diagnosed with dementia or mild cognitive impairment (MCI), living in the community with <40 hours/week nursing care were divided into diagnostic groups defined at baseline as Alzheimer's disease (AD) early or late onset, frontotemporal dementia (FTD), vascular dementia (VaD), mixed (AD and VaD) and other dementia. To achieve outcome measures, baseline and change over six months in all measures by diagnostic group, and predictors of change at six months were examined. RESULTS: Of the 970 patients enrolled, 967 were eligible for analysis. The most common disorder was AD (late onset) accounting for 46.5% of this population. Patients had an overall slight worsening on all assessment scales over the six-month period. Patients with FTD had a more marked change (decline) in cognition, function and behavior over six months compared to other diagnostic groups. However, in the regression analysis the difference was not significant between groups. Predictors of decline in Mini-Mental State Examination (MMSE) scores were not robust at six months, and longer follow-up is required. Patients with FTD were more likely to be prescribed psychotropics. CONCLUSION: The PRIME study is continuing and will provide important data on predictors of decline along with differences between diagnosis groups on the rate of change.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".