Latest Canadian Consensus Conference on the Diagnosis and Treatment of Dementia: What’s in It for Primary Care?
Bibliographic record
Abstract
In 2020, the fifth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD5) published up-to-date recommendations for the clinical management of persons living with dementia (PLWD) and their caregivers. During the CCCDTD5 meetings, a list of recommendations for dementia care was compiled. With the aid of family physicians and the Canadian Consortium on Neurodegeneration in Aging, we selected the most relevant CCCDTD5 recommendations for primary care and tailored and summarized them in the present manuscript to facilitate their reference and use. These recommendations focus on (a) risk reduction, (b) screening and diagnosis, (c) deprescription of dementia medications, and (d) non-pharmacological interventions. The development of recommendations for the ongoing management of dementia is an iterative process as new evidence on interventions for dementia is published. These recommendations are important in the primary care setting as the entry point for PLWD into the health system.
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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 | 0.039 | 0.059 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".