Clinical Efficacy of Dengyin Naotong Capsule for Cognitive Impairment Related to Cerebral Small Vascular Disease
Bibliographic record
Abstract
Objective: This study aims to investigate the clinical efficacy of Dengyin Naotong (DYNT) capsule for cognitive impairment related to cerebral small vascular disease (CSVS). Methods: Total of 105 patients with cognitive impairment related to CSVD hospitalized in Zibo Fifth People's Hospital from July 2021 to June 2023 were selected and randomly divided into control group (53 cases) and treatment group (52 cases). The patients in control group were treated with anti-arteriosclerosis, anti-platelet aggregation, nicergoline treatment, etc. while in treatment group combined with DYNT capsule on the basis of control group for 6 months both in the two groups. Before and after treatment, the Mini-mental State Examination (MMSE), Montreal Cognitive Assessment Scale (MoCA), Ability of Daily Living (ADL) score, Tinetti Balance and Gait Assessment Scale (POMA) score, Traditional Chinese Medicine Syndrome Scores (TCMSS), and the plasma levels of homocysteine (Hcy), C reactive protein (CRP) and D-dimer of patients were observed. Results: After treatment, the MMSE scores, MoCA scores ADL scores and POMA scores of patients increased significantly than those before treatment (PPPPPP<0.05). Conclusion: DYNT capsule has some clinical efficacy in the treatment of cognitive impairment related to CSVD.
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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) | 0.001 | 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".