Clinical Efficacy of Damol Injection Combined with Nimodipine in Cerebral Small Vascular Cognitive Dysfunction
Bibliographic record
Abstract
Objective: To analyze the clinical efficacy of ginkgo damol injection combined with nimodipine in treating cerebral small vascular cognitive dysfunction. Methods: 73 patients with cerebral microvascular cognitive dysfunction admitted to our hospital from June 2022 to October 2023 were selected, which were divided into an observation group and a control group according to the case grouping method, with 36 cases and 37 cases, respectively. The observation group was treated with Ginkgo damol injection combined with nimodipine, and the control group compared the mental status (Brief Mental State Examination Scale, Mini-Mental State Examination, MMSE) and cognitive condition (Montreal Cognitive Assessment Scale, Montreal Cognitive Assessment, MoCA). Results: After treatment, mental status and cognitive status in both groups improved, while the observation group showed a more significant improvement trend, with statistically significant significance (P <0.05). Conclusion: Combined with nimodipine treatment can effectively improve their clinical efficacy and improve their cognitive status and mental state, which is worth promoting
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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 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".