Incidence and related factors of Parkinson' s disease with cognitive dysfunction
Bibliographic record
Abstract
Aim: To study the incidence,clinical characteristics and related factors of cognitive dysfunction in Parkinson's disease( PD). Methods: A total of 52 patients with Parkinson's disease( PD group) and 58 healthy patients( normal group) were assessed by Montreal cognitive assessment( MoC A) scale,to study the incidence of cognitive dysfunction,clinical characteristics in PD patients and the relationship between the PD patients with cognitive dysfunction and age,duration,Hoehn-Yahr grade,UPDRS score. Results: The MoC A score in PD group was lower than that in normal group( t =8. 036,P 0. 001),the incidence of cognitive dysfunction was 57. 7% in the PD group( χ2= 19. 200,P 0. 001). The main features of cognitive dysfunction in PD patients showed attention and concentration,executive functions,memory,delayed recall,language skills,visual ability,abstract thinking and ability of orientation,retardation,etc. Logistic regression analysis showed that cognitive dysfunction in PD group was positively related with the severity of disease condition( H-Y classification),duration,UPDRS( Part Ⅰ) score and UPDRS( Part Ⅱ) score( OR: 5. 464,6. 172,1. 138,1. 305; 95%CI: 1. 915- 10. 136,0. 068- 0. 872,1. 017- 1. 358,1. 316- 11. 014). Conclusion: The incidence of cognitive dysfunction in PD patients is high. There are many forms of clinical manifestations,and the extent of these manifestations is correlated with disease duration,severity and UPDRS score.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".