P1‐053: Epidemiology of cognitive impairment and depressive symptoms in patients with Parkinson's disease
Bibliographic record
Abstract
Dementia and depression in Parkinson's disease (PD) have drawn attention since they impact on patients' quality of life. We studied cognitive performance and depressive symptoms of PD as measured by Montreal Cognitive Assessment (MOCA) and Montgomery and Asberg Depression Rating Scale (MADRS), based on the results from a national, multicenter, epidemiological E.W.O study (Epidemiology of Wearing-Off symptoms in PD patients treated with L-dopa for ≤ 10 years) Data analyzed from 217 out of 563 consecutive PD patients (83 women, 34 men); detailed records on medical and drug history, clinicians' assessment, WOQ-9 questionnaire, NMS30, MADRS, HAMA, MOCA used. The most frequent cognitive deficits included impairment of delayed recall and visuospatial/ executive functions. 43.8 % of patients had MOCA scores < 26. MOCA scores were significantly correlated with patients' age (p < 0.001, r = -0.308), MADRS scores (p = 0.023, r = -0.155) and NMS30 scores (p = 0.010, r = -0.224). MOCA results were not influenced by the cumulative dose of any class of antiparkinsonian medication. Only 17.1% of patients had MADRS score > 14. Sadness, sleep problems, inner tension, and inability to concentrate were the most frequent depressive symptoms. Patients with the first symptom manifestation on the right side had higher MADRS scores compared to those with the left-sided or bilateral manifestations (results adjusted for current Hoehn and Yahr [H-Y] score; p = 0.015). MADRS scores were significantly influenced only by the H-Y score with two peaks at stage 1 and 3 (p = 0.005), and they significantly correlated with HAMA scores (r = 0.681; p < 0.001), NMS30 scores (r = 0.645; p < 0.001), and MOCA scores. Current intake of DA agonists or its daily dose had no impact on MADRS scores. Using the suggested cut-off scores, MOCA revealed dementia in 43.8%, and MADRS revealed depression in 17% of our patients. Antiparkinsonian medication did not influence MOCA results. We demonstrated a significant effect of laterality of the first motor symptom manifestation, and H-Y score on the MADRS results. The current intake or daily dose of DA agonists had no impact on MADRS.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".