Effect of ginkgo leaf tablets combined with compound carbidopa on patients with Parkinson’s disease
Bibliographic record
Abstract
Purpose: To determine the effect of a combination of ginkgo leaf tablets with compound carbidopa tablets on cognitive function, serum homocysteine (Hcy), malondialdehyde (MDA) and neuron-specific enolase (NSE) levels in patients with Parkinson's disease (PD).Methods: A total of eighty (80) PD patients admitted to The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China between December 2020 and December 2022 were randomly divided into two groups: Western medicine group (n = 40, using compound carbidopa tablets alone) and combination group (n = 40, using ginkgo leaf tablets combined with compound carbidopa tablets), and orally treated for 3 months. Mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA) were used to assess cognitive function before and after treatment. High-performance liquid chromatography was used to determine serum Hcy levels, while enzyme-linked immunosorbent assay (ELISA) was used to evaluate serum MDA and NSE levels. Adverse reactions were also recorded during treatment.Results: Total response rate following treatment in combination group was significantly higher than in Western medicine group (95.00 vs 80.00 %, p < 0.05). After treatment, MMSE and MoCA scores in combination group were significantly higher (p < 0.05) than those in Western medicine group, while serum Hcy, MDA and NSE levels in combination group were significantly lower than those in Western medicine group (p < 0.05). During treatment, there was no significant difference in incidence of adverse reactions between the two groups (p > 0.05).Conclusion: Ginkgo leaf tablets in combination with carbidopa significantly improve cognitive functions associated with PD with high safety, when compared to carbidopa tablets alone. However, further clinical trials are commended to validate these findings.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".