P1‐197: Detection of mild cognitive impairment in idiopathic Parkinson's disease with the mattis dementia rating scale
Bibliographic record
Abstract
A state of Mild Cognitive Impairment, that would be analogous to the preclinical phase of Alzheimer's disease, can be found in idiopathic Parkinson's Disease (PD-MCI). Given that therapeutic agents for treating PD's cognitive decline seem more efficacious if administered early, detection of MCI in PD is of great interest. This study aimed at exploring the sensitivity of the Mattis Dementia Rating Scale (MDRS) to detect the presence of MCI in PD. Sixteen patients with PD-MCI and 29 healthy controls (HC) matched according to age, education and gender were identified from an on-going clinical study. PD patients underwent comprehensive neurological and neuropsychological evaluations. Diagnoses of MCI were made if individuals presented an impaired performance (i.e. 1.5 SD below the mean of normative data) on at least one of the five cognitive domains assessed. Cognitive deficits should not have caused functional impairments (Petersen, 1999; 2001). Age- and education-corrected scaled scores for the MDRS-total and age- corrected scaled scores for each MDRS-subscale were converted into Z scores and compared between groups. The distribution of the PD-MCI's subtypes was as follows: non-memory-single domain = 50%, non-memory-multiple domains = 25%, memory- multiple domains = 19% and memory-single domain = 6%. PD patients received their diagnosis when aged 58.7 ± 10.6 years, and their disease duration was approximately of 9.5 ± 5 years. PD-MCI patients scored significantly lower than HC on the MDRS-Total (PD-MCI= -0.21 ± 0.81; HC= 0.38 ± 0.63; p= .01, d= .82) and on Initiation/Perseveration subscale (PD-MCI= -0.46 ± 0./81; HC= 0.44 ± 0.52; p= .015, d= 1.35). Finally, a ROC analysis established that the optimal MDRS- total cutoff score to properly screen MCI in PD is 140/144 (sensitivity= 81.3%, specificity= 41%, AUC= .71, LR= 1.39). The results of the present study validate the utilization of the MDRS as a cognitive screening test to identify PD patients with MCI, who are eventually at risk to develop dementia. Our findings that frontal / executive dysfunction is the most problematic cognitive domain in PD-MCI are congruent with the results of previous research.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".