Management of behavioural and psychological symptoms of dementia and acquired brain injury
Bibliographic record
Abstract
The practical management of the behavioural symptoms of dementia is one of the most pressing subjects in psychiatry. It is this, more than any other form of treatment, that decides whether a sufferer from dementia stays at home, in supported accommodation, or in hospital. It is therefore a very important subject, and this chapter illustrates what tends to happen when many hard-working and well-meaning clinicians decide, more or less independently, to investigate the value of different treatments. We get a large number of rating scales for assessment that overlap considerably, many published studies and many controlled trials that are difficult to combine in meta-analyses. As a consequence we derive a relatively poor evidence base, particularly in acquired brain injury, that makes it very difficult for the practitioner to choose how to proceed. But we must not be too unfair. The diagnostic system has not helped clinicians in the management of these symptoms and the notion of BPSD (Behavioural and Psychological Symptoms of Dementia) is a relatively recent one. It appears to be a good foundation on which to build.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".