Prevalence of Parkinson's disease in the elderly: a population study in Gironde, France
Why this work is in the frame
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Bibliographic record
Abstract
We investigated the prevalence of Parkinson's disease in a representative sample of the elderly population living in the Gironde département, France. Among 3149 people over age 65, the prevalence ratio for Parkinson's disease was 1.4%, without significant difference between men and women. We found that age-specific prevalence ratios increased with age from 0.5% in the age group 65 to 69 to 6.1% in individuals over age 90. This age pattern is consistent with that found in other population-based studies. Interestingly, the slope of age-specific prevalence ratios for Parkinson's disease was similar to that previously reported for Lewy bodies. Our study showed that a high proportion (42%) of Parkinson's disease cases in elderly subjects living in institutions were undiagnosed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it