The Progression of Behavior in Dementia: An In-Office Guide for Clinicians
Bibliographic record
Abstract
This article examines the progression of behavioral changes in 200 community living and long term care patients using the Kingston Standardized Behavioral Assessment, a measure of traditional neuropsychiatric behaviors (behavioral and psychological symptoms of dementia) and neuropsychological behaviors. A group of patients diagnosed with probable Alzheimer's disease or mixed dementia (Alzheimer's disease and vascular dementia), was assessed using the Kingston Standardized Behavioral Assessment, ranked by total Kingston Standardized Behavioral Assessment score and were divided into quartile-based groups. The scores revealed changes in behavior patterns across quartiles. Significant behavior change appeared even in quartile one. Lower scores were predominantly associated with neuropsychological behaviors; as scores increased, neuropsychiatric behaviors became equally common. An at-a-glance guide characterizing the patterns of increasing behavioral change is provided for clinicians. Behavioral changes appear both early and throughout dementia; the type and pattern of these emerging behaviors change as the disease progresses. Clinicians can use the typical patterns of behavioral change to identify behavioral impairment in individual patients and anticipate future changes and related care needs.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.026 |
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".