Clinical Observation of Sodium Oligomannate Capsules in the Treatment of Cognitive Dysfunction in Parkinson's Disease
Bibliographic record
Abstract
To observe the effect of sodium oligomannate capsules on cognitive dysfunction in Parkinson's disease. 120 patients with cognitive dysfunction were randomly divided into, 60 in treatment and 60 in control group and given sodium oligomannate capsules dose of 5 mg/d, 450 mg/d respectively and compared cognitive function scores (mini-mental state examination, Montreal cognitive assessment). After treatment, serotonin, dopamine, norepinephrine levels and event-related potential are measured. Compared with pre-treatment, the Montreal cognitive assessment and mini-mental state examination scores were significantly different after treatment (both p<0.05), and Montreal cognitive assessment and mini-mental state examination scores were significantly higher after treatment (both p<0.05). Compared to the control group, Montreal cognitive assessment and mini-mental state examination scores before treatment (both p>0.05), and Montreal cognitive assessment and mini-mental state examination scores were significantly increased after treatment (both p<0.01). Before treatment, serum serotonin, dopamine and norepinephrine levels were compared (p>0.05), and serotonin, dopamine and norepinephrine were higher than the control group (p<0.01). The latency period of N2 and P3 was significantly prolonged, and the N2 and P3 incubation periods were significantly reduced, with significant differences (p<0.01). Sodium oligomannate capsules can improve the cognitive function of Parkinson's disease patients by regulating neurotransmitter levels, reducing N2 and P3 latency, improving short and delayed memory and directional force.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".