Clinical and social aspects of the quality of life in patients with Parkinson’s disease
Bibliographic record
Abstract
Parkinsons disease (PD) is an age-related neurodegenerative disease associated with the loss of dopamine-producing neurons in the substantia nigra. The disease is manifested by motor disorders and a variety of non-motor symptoms (NMS). NMS may reduce the quality of life (QoL) of people with Parkinsons disease (PD) more than motor manifestations, but their ultimate contribution has not been fully established. AIM. To determine the impact of motor, cognitive and affective disorders and social factors on the quality of life of patients with PD in the Republic of Sakha (Yakutia). MATERIAL AND METHODS. The study included 35 patients with PD, HoehnYahr stage 13 (60% women and 40% men), mean age 64.42.0 years. We used scales: UPDRS, MoCA, HADS, NMSQuest, Epward Sleepiness Scale, PDQ39. The analysis of clinical signs and social factors in the studied group of patients was carried out. RESULTS. The decrease in QoL was moderately associated with disease stage (r=0.56, p=0.009), the severity of motor manifestations (r=0.65, p 0.001) and the total number of NMS (r=0.46, p=0.008). Age and disease duration did not affect on QoL. The decrease in QoL was influenced by the presence of depression (r=0.83, p 0.001), anxiety (r=0.69, p 0.001) and cognitive decline (r=0.46, p=0.008). Low levels of QoL were found in individual PD patients and in people with disabilities. QoL was not influenced by ethnicity, gender, employment or education. Three groups of patients with PD were identified: those with mild, moderate and severe decrease in QoL. Their clinical and social portraits are presented. CONCLUSION. The dependence of the quality of life of patients with PD on the form of the disease, the stage of the disease, the severity of depression, social factors has been demonstrated, which requires attention not only from neurologists, but also from psychotherapists and social workers.
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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 | 0.002 |
| 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) | 0.001 | 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".