Long-term follow-up of patient with MCI due to Lewy body who intervened in prosthetic treatment
Bibliographic record
Abstract
As the number of patients with dementia increases in an aging-skewed society, preemptive preventive interventions at the pre-disease stage that could prevent or delay the onset of dementia are increasingly pursued. We report here a case of long-term changes in masticatory and cognitive functions in a patient with mild cognitive impairment (MCI) associated with Lewy body disease (LBD) who was fitted with complete dentures as a prosthetic treatment intervention. Masticatory function was measured using a Gluco Sensor GS-II (GC, Tokyo, Japan). Cognitive function was evaluated every 6 months using the Japanese version of the Montreal Cognitive Assessment (MoCA-J), which evaluates retention of cognitive abilities; the Mini-Mental State Examination (MMSE) and the Hasegawa Dementia Rating Scale-Revised (HDS-R), which are used to screen for dementia; and the Lawton Instrumental Activity of Daily Living (IADL), which evaluates social function through instrumental activities of daily living. Although cognitive function improved and was temporarily maintained after prosthetic treatment, it eventually declined, and symptoms progressed from MCI to LDB 48 months after initiation of treatment. Masticatory function could not be assessed after 24 months because the patient did not visit the clinic. At 54 months, masticatory function had declined to significantly lower than the reference value. These data suggest a need for medical and dental collaboration to deepen our understanding of the impact of good oral care on patients with MCI or dementia and on their families and caregivers in daily clinical practice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".