Evaluation on the long-term clinical efficacy of TCM comprehensive intervention on mild post-stroke cognitive impairment
Bibliographic record
Abstract
Objective To evaluate the long-term clinical efficacy of TCM comprehensive intervention on mild post-stroke cognitive impairment. Methods 200 cases of patients with mild post-stroke cognitive impairment were included and randomized into the intervention group of 104 and the control group of 96. The control group was given non-medicinal intervention,and the intervention group was treated with Compound Congrong Yizhi Capsule with 4 capsules each time and 3 times a day apart from the non-medicinal intervention as in the control group in combination with some TCM featured therapies. The treatment for both groups lasted for 180 days. After 90 days from the end of intervention,Montreal Cognitive Assessment( Beijing edition)( Mo CA) and Activities of Daily Living( ADL) were used to evaluate the cognitive ability,activities of daily living and the improvement of core symptoms observed in patients. Results The Mo CA total scores of two groups were both improved compared with that in inclusion and the difference was statistically significant( P 0. 01); and the Mo CA total scores of Intervention group was more improved than that of the control group,the difference was statistically significant( P 0. 01),especially in abstract and delayed memory. The ADL total scores of two groups were improved,the difference was statistically significant( P 0. 05,P 0. 01),but the difference wasn 't statistical significant between the two groups. Five core symptoms of the intervention group were improved a lot than that in inclusion,including speaking with incomplete meaning,forgetting things quickly,poor memory after speaking,distractibility,and retardation, the differences were statistically significant( P 0. 05 or P 0. 01). Conclusion TCM comprehensive intervention for the patients with PSCIND has a good long-term curative effect,as it may increase the patient'cognitive function and improve TCM core symptoms.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".