Fourth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia: recommendations for family physicians.
Bibliographic record
Abstract
OBJECTIVE: To revise diagnostic strategies for Alzheimer disease (AD), update recommendations on symptomatic treatment of dementia, and provide an approach to rapidly progressive and early-onset dementias. COMPOSITION OF THE COMMITTEE: Experts and delegates representing relevant disciplines from diverse regions across Canada discussed and agreed upon revisions to the 2006 guidelines. METHODS: The GRADE (grading of recommendations, assessment, development, and evaluation) system was used to evaluate consensus on recommendations, which was defined as when 80% or more of participants voted for the recommendation. Evidence grades are reported where possible. REPORT: Important for FPs, despite advances in liquid biomarkers and neuroimaging, the diagnosis of dementia in Canada remains fundamentally clinical. New core clinical criteria for the diagnosis of AD now recognize less common, non-amnestic forms. Early-onset dementia, a rare but important condition, should prompt referral to specialists with access to genetic counselors. Rapidly progressive dementia, poorly defined in the literature, is described to facilitate detection of this rare but important condition. There are new expanded indications for cholinesterase inhibitors beyond AD, as well as guidelines for their discontinuation, which had not been previously described. New evidence regarding use of memantine, antidepressants, and other psychotropic medications in dementia care is presented. CONCLUSION: Several recommendations from the Fourth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia are relevant to FPs. For guidelines to remain useful, family physicians should participate in all stages of the ongoing development process, including topic selection.
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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 | 0.058 | 0.131 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.011 | 0.005 |
| Research integrity | 0.013 | 0.015 |
| Insufficient payload (model declined to judge) | 0.017 | 0.009 |
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".