[Effects of moxibustion at Yongquan (KI 1) on cognition function and lower limb motor function in patients with post-stroke cognitive impairment of kidney essence deficiency].
Bibliographic record
Abstract
OBJECTIVE: To observe the effects of moxibustion at Yongquan（KI 1） on the cognitive function and lower limb motor function in patients with post-stroke cognitive impairment of kidney essence deficiency. METHODS: Eighty-four patients with post-stroke cognitive impairment of kidney essence deficiency were randomly divided into an observation group（42 cases，1 case dropped off）and a control group（42 cases，1 case dropped off）.The control group was treated with medication，electroacupuncture，rehabilitation training and repetitive transcranial magnetic stimulation（rTMS）；on the basis of the treatment as the control group，moxibustion at bilateral Yongquan（KI 1）was adopted in the observation group.Both groups were treated once a day，5 days a week with 2-day interval，4 weeks were required. The Montreal cognitive assessment (MoCA) score, mini-mental state examination (MMSE) score, Fugl-Meyer assessment-lower extremity (FMA-LE) score, Berg balance scale (BBS) score, functional independence measure (FIM) score, modified fall efficacy scale (MFES) score and scale for the differentiation of syndromes of vascular dementia (SDSVD) score before and after treatment were observed in the two groups. RESULTS: < 0.05). CONCLUSION: Moxibustion at Yongquan（KI 1） can improve the cognitive function and motor and balance function of lower limbs in patients with post-stroke cognitive impairment of kidney essence deficiency，reduce the risk of fall and improve the quality of life.
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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".