Non-motor manifestations in patients with Parkinson's disease
Bibliographic record
Abstract
Objective: to study the structure of NMS, their frequency and clinical significance at all stages of PD; to conduct a comparative analysis of the structure of NMS in PD, depending on the stage, form of the disease and gender characteristics of patients. Material and methods: examined 100 patients with PD, 31 patients as the control, and 11 patients as the comparison with Parkinson’s syndrome. The severity of movement disorders was assessed using the Hen and Yar scale. All patients with PD were also clinically assessed according to the UPDRS scale (parts II, III). Cognitive functions were assessed according to the Montreal CI scale (MOCA). The patients’ neuropsychological status was assessed using the Hospital Anxiety and Depression Scale (HADS). Results: vegetative disorders are a frequent manifestation of PD; they differ significantly depending on the gender of the patient and on the stage of the disease. In 20% of patients with PD clinically pronounced depression and severe cognitive impairment were revealed. Conclusion: non‑motor disorders are distinguished by a wide variety of manifestations and combinations, and their structure changes significantly from early to late stages of PD. The presence of NMS is an obligatory sign of PD. Although the structure of non‑motor manifestations of the disease is not specific, attention is drawn to the combination of more than ten different NMS in most patients, which does not occur with natural aging.
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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 | 0.001 |
| 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) | 0.002 | 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".