Efficacy of Phlegm-eliminating and Stasis-resolving Therapy in Treatment of Cognitive Impairment among Patients with Hepatolenticular Degeneration:A Report of 21 Cases
Bibliographic record
Abstract
Objective To observe the efficacy of phlegm-eliminating and stasis-resolving therapy in the treatment of cognitive impairment among patients with hepatolenticular degeneration(HLD).Methods Forty-two HLD patients with cognitive impairment were randomly assigned to treatment group and control group.The control group received conventional treatment,while the treatment group received Gandouling Tablet in addition to conventional treatment.The cognitive function of patients was evaluated by the mini-mental state examination(MMSE)and the Montreal cognitive assessment(MoCA)before and after 12weeks of treatment.Results After treatment,both groups showed significant increases in total MMSE score and total MoCA score(P0.01);the treatment group had significantly higher increases in total MMSE score and total MoCA score than the control group(P0.01).Conclusion Phlegm-eliminating and stasis-resolving therapy is effective in improving the cognitive function of HLD patients.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".