Clinical Efficacy of Banxia Baizhu Tianma Decoction in Patients with Turbid Phlegm Blocking Orifice Syndrome of Alzheimer's Disease
Bibliographic record
Abstract
Objective: To evaluate clinical efficacy of Banxia Baizhu Tianma (BBT) decoction in the treatment of patients with turbid phlegm blocking orifice (TPBO) syndrome of Alzheimer’s diseases (AD). Methods: The patients with TPBO syndrome of AD admitted to the Department of Neurology, Shandong Jvnan County Traditional Chinese Medicine Hospital from October 2021 to October 2022 were selected and randomly divided into the control group treated with conventional therapy including donepezil hydrochloride and the observed group combined with BBT decoction on the basis of control group for 8 weeks. The scores of Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Clinical Dementia Rating (CDR), Global Deterioration Scale (GDS), Activity of Daily Living Scale (ADL), Cohen-Mansfield Agitation Inventory (CMAI) and Traditional Chinese Medicine Syndrome Score (TCMSS) were estimated before and after treatment, so that to evaluate clinical efficacy. Results: Before treatment, no significant difference existed in the scores of above assessment indexes of patients between the two groups (P>0.05). After treatment, the scores of above assessment indexes of patients in the two groups were significantly improved than those before treatment (P<0.05), and which in the treatment group were significantly better than those (except for CDR) in the control group (P<0.05). So that the total effective rate in the treatment group was higher than that in the control group (P<0.05). Conclusion: BBT decoction could significantly improve the activity of daily living of patients with Alzheimer's disease by elevating the scores of various cognitive and learning and memory functions.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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 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".