Effectiveness and Safety of the Korean Medicine Senior Health Promotion Program Using Herbal Medicine and Acupuncture for Mild Cognitive Impairment: A Retrospective Study of 500 Patients in Seoul, Korea
Post-publication record
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Bibliographic record
Abstract
Background. The management of mild cognitive impairment (MCI) is becoming increasingly important. The Korean Medicine Senior Health Promotion Program (KSHPP) was developed in 2016, and it has been in use to date. This study aimed to assess the effectiveness of KSHPP using herbal medicine and acupuncture for treating MCI and the safety of herbal medicine using liver and renal function tests. Methods. We retrospectively reviewed the medical records of the participants with MCI. We assessed the Korean version of the Montreal Cognitive Assessment (MoCA-K), the Mini-Mental State Examination-Dementia Screening (MMSE-DS), and the Geriatric Depression Scale Short Form-Korea version (GDSSF-K) scores before and after KSHPP to determine its effectiveness. To evaluate its safety, the liver and renal function tests were conducted before and after herbal treatment. Results. We enrolled 1002 participants, and 500 participants satisfied the inclusion criteria. Of 500 patients, 364 (72.8%) were depressed and 136 (27.2%) were not. The mean MoCA-K score significantly increased by 2.77 for the entire sample and 3.22 for the depressed sample (all P < 0.0001 ). The mean MMSE-DS score significantly increased by 2.19 for the entire sample and 2.51 for the depressed sample (all P < 0.0001 ); the mean GDSSF-K score significantly decreased by 1.73 for the entire sample and 2.68 for the depressed sample (all P < 0.0001 ). Conclusions. Our findings suggest that Korean medicine interventions can improve cognitive function and depression symptoms in patients with MCI. In addition, the results of the liver and renal function tests were analyzed as surrogate outcomes to assess the safety of herbal medicine. Based on these results, we expect that Korean medicine interventions can promote the cognitive and mental health of seniors. However, as there were several study limitations, particularly study design, practice effect, and short follow-up, these results must be interpreted with caution. We need a further long-term study with a rigorous design to retain confidence in the effectiveness and safety of KSHPP.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".