100 Years After Alzheimer: Contemporary Neurology Practice Assessment of Referrals for Dementia
Bibliographic record
Abstract
BACKGROUND: The prevalence of dementia is placing an increased burden on specialists. METHODS: Canadian neurologists responded to a structured questionnaire to assess reasons for referral and services provided as well as to compare the neurologists' perceptions of their practice characteristics against cases seen over a 3-month period. RESULTS: The audit confirmed the participants' perception that family practitioners are the main referral source (358/453, 79%). Sixty-two percent of patients had undergone clinical investigation for dementia prior to being seen by the neurologist; 39% (177/453) were on pharmacotherapy at the time of referral, 68% were initiated on pharmacotherapy by the neurologist. A fifth of the referrals did not meet clinical criteria for dementia, which may be directly related to the prevalence of prior workup that did not include mental status testing. CONCLUSIONS: Neurologists currently treat patients referred for dementia who may already have been adequately evaluated and treated by primary care providers.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".