Efficacy and safety of Hominis placenta pharmacopuncture on mild cognitive impairment
Bibliographic record
Abstract
INTRODUCTION: Mild cognitive impairment (MCI) is cognitive decline which can be observed in a wide range of cognitive domains. It is considered as a prodromal stage of dementia; therefore, strategies for treatment are necessary, but current evidence is limited. Combining the memory enhancing effect of Hominis placenta (H placenta) and acupuncture elucidated separately in previous studies, efficacy of H placenta pharmacopuncture for treating MCI is anticipated. METHODS: Thirty participants will be recruited. Male and female adults aged 50 to 80 who voluntarily participate in the trial, are diagnosed with MCI according to diagnostic and statistical manual of mental disorders-5 criteria, and have a Clinical Dementia Rating score 0.5 will be enrolled. Participants who meet the criteria will be randomly allocated to either pharmacopuncture group or control group. Participants will undergo H placenta pharmacopuncture or saline pharmacopuncture in GV20, ST36, and CV12 twice weekly for 8 weeks and will be evaluated a month after the last treatment. Primary outcome will be difference in mean change of Korean version of Montreal Cognitive Assessment scores between intervention group and control group. Cognition, mood, sleep quality and quality of life will be also assessed using other neuropsychological tests and questionnaires regarding depression, anxiety, sleep and quality of life. DISCUSSION: Evaluating the efficacy and safety data obtained by assessing diverse aspects of patients with MCI will broaden the scope of MCI management and prevention of dementia progression. TRIAL REGISTRATION: Clinical Research Information Service (KCT0005368), Registered 02 Sep 2020, https://cris.nih.go.kr/cris/en/search/search_result_st01.jsp?seq=16425.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".