Association Between Dementia Severity and Recommended Lifestyle Changes: A Retrospective Cohort Study
Bibliographic record
Abstract
OBJECTIVE: Early diagnosis of dementia leads to early treatment which is beneficial to patients and the community. We reviewed initial evaluations from the Spectrum Health Medical Group Neurocognitive Clinic (SHMGNC) to evaluate dementia stage at the time of diagnosis. METHODS: We retrospectively reviewed 110 randomly chosen initial evaluations from September 2008 to December 2015 at the SHMGNC. Patients underwent a neurological examination, Montreal Cognitive Assessment, and a battery of neuropsychological testing. RESULTS: Of all, 78.9% had moderate or severe dementia at diagnosis. The SHMGNC recommended lifestyle changes (medication assistance, financial assistance, driving restrictions, and institutional care) in 75.8% of patients with dementia. The severity of dementia was associated with the number of lifestyle changes recommended. Cohabitation with a caregiver did not lead to an early diagnosis of dementia. CONCLUSIONS: Patients are not undergoing evaluation at the onset of the dementia process. Diagnosis is delayed. Home-based, patient-centered care may improve early screening and detection of dementia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".