Cognitive fluctuations associated with therapy in patients with Parkinson diseases
Bibliographic record
Abstract
The aim of the research is the assessment of cognitive status dynamics during levodopa pharmacotherapy. Material and methods. A new approach was created to assess cognitive status in patients with PD. It allows diagnosing cognitive fluctuations at an early stage at the highest quality level as well as to correct the disorders rationally and timely. The patients were randomized into two groups. In group 1 (n = 25), the assessment of cognitive status was carried out at the “peak” dose of levodopa and in 6 months at the state of levodopa dose “outcome”. In group 2 (n = 25), respectively, on the contrary, the initial assessment of cognitive status was carried out at the “outcome” of levodopa dose and in 6 months later at the “peak”. The study groups were comparable in terms of such parameters as: age, gender, average duration and stage of disease. On average, all the participants by the study time were at 2.5 stage of the disease according to Hoehn and Yahr scale; and the average length of the disease was 5 years. Results. Th e following statistically signifi cant results were obtained: in the fi rst group (peak–outcome) the average values on MMSE scale at the “peak” were 27 points; at the “outcome” they were – 25; MOCA values were 25 and 22 points, respectively; on FAB scale the values were – 16 and 14.5 points, SCOPA-Cog values were 33 and 28 points. In the second group (outcome – peak), the average values on MMSE scale at the “outcome” were 27, at the “peak” – 28, on MOCA scale – 23 and 25.5, respectively, on FAB scale – 16 and 17.5, SCOPA–Cog – 30 and 33. Conclusion. The present study confi rms that cognitive status of patient associated with antiparkinsonian therapy changes depending on the peak of levodopa and its outcome. At the peak of levodopa action, patients show signifi cantly better results on scaling, and at the end of the day, they demonstrate more significant cognitive impairments. A new two-stage method for assessing CF allows diagnosing cognitive impairments at a better level. Such method is necessary for timely initiation of therapy and rational correction of antiparkinsonian treatment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".