Non-motor symptoms in newly diagnosed Parkinson's disease patients
Bibliographic record
Abstract
The non-motor symptoms (NMSs) in Parkinson's disease (PD) patients have greater effects on their quality of life compared to the motor symptoms; however, they are under-recognized. The study aims to evaluate the prevalence and severity of NMS in newly diagnosed PD patients in Tanta University hospitals. The study included 41 newly diagnosed PD patients. All patients were screened for NMS by the non-motor symptoms questionnaire (NMS-Quest). According to the NMS-Quest response, patients were further evaluated by Sialorrhea Clinical Scale for PD (SCS-PD), Scales for Outcomes in Parkinson's disease for Autonomic symptoms (SCOPA-AUT), Rome III Questionnaire, Nocturnal voiding and Sleep-Interruptions Questionnaire, Brief Pain Inventory, Montreal Cognitive Assessment (MoCA), Scale for Evaluation of Neuropsychiatric Disorders in Parkinson's Disease (SEND-PD), Pittsburgh Sleep Quality Index (PSQI), and questionnaires based upon the International Restless Legs Study Group criteria. The study included 22 female and 19 male patients; the duration of illness was 2.7 ± 2.08 years. Constipation was the most common symptoms as it was present in 73.1% in the studied patients; 61% suffered loss of sexual interest. 47.5% of patients had depressive symptoms. Sleep disturbance was present in 36.6% of the patients. Anxiety was reported by 30% of the patients. All newly diagnosed PD patients suffered one or more NMSs; constipation was the most frequent followed by sexual dysfunction, depressive symptoms, and sleep disturbance, while pain, sialorrhea, and restless leg were the least reported.
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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 | 0.001 | 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".