Bibliographic record
Abstract
Objective To explore the relation between uric acid in patients with Parkinson′s disease(PD) and motor symptoms and non-motor symptoms.Methods 101 patients with PD were classified as PD,male PD and female PD groups and their serum uric acid contents were examined,and 100 healthy persons whose age,sex matched the patients were enrolled as the controls.We used unified Parkinson diseases rating scale part Ⅲ,the PD NMS Questionnaire and Montreal Cognitive Assessment and Hamilton Depression Rating Scale to assess the patients.Results The serum uric acid level in PD(315.4±71.83 μmol/L) was lower than that in the controls [(332.06±83.36)μmol/L,P0.05].The serum uric acid level in PD was gender related and male PD patients(336.01±74.72) μmol/L had a higher serum uric acid level than female patients[(293.25±108.84)μmol/L,P0.05].In male PD patients,the serum uric acid level was correlated with clinical types(r=0.342,P0.05).In PD patients(r=-0.255,P0.05)and female PD patients(r=-0.32,P0.05),the serum uric acid level was correlated with mood and recognition symptoms in NMS Quest.Conclusion Lower serum uric acid level is probable a risk facor in PD.There are some correlations between serum uric acid level and motor symptoms and non-motor symptoms,which needs further investigation.
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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 | 0.001 | 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".