Response to Korean medicine with acupotomy in patients with cognitive impairment in primary care: A multicenter registry protocol
Bibliographic record
Abstract
BACKGROUND: Mild cognitive impairment (MCI) and subjective cognitive decline (SCD) are risk indicators for dementia and require ongoing management. Traditional Korean medicine (TKM) commonly employs acupuncture and herbal medicine for cognitive impairment; yet, clinical research on acupotomy is lacking. Although most TKM treatments occur in primary care, the research is largely hospital-based. This registry was established to systematically collect real-world data on the clinical progress, efficacy, and safety of TKM with acupotomy for patients with MCI or SCD in primary care. It is hypothesized that TKM with acupotomy improves cognitive function and is safe for these patients. AIM: To establish an MCI or SCD registry of patients receiving TKM, including acupotomy, to analyze its clinical efficacy and safety. METHODS: This observational registry study will be conducted across 22 medical institutions; approximately 500 participants will be recruited. Data-sociodemographic information, medication history, height, weight, vital signs, and assessment questionnaires (Montreal Cognitive Assessment-Korean, short form of Korean-Everyday Cognition, Numeric Rating Scale, Korean version of the Insomnia Severity Index)-will be collected at 3-month intervals over a year. This study will also document the TKM treatment administered and any adverse events. Routine TKM procedures will be followed, with acupuncture and acupotomy administered as per protocol; treatments including herbal medicine, Chuna therapy, and moxibustion may be administered at the practitioner's discretion. RESULTS: The registry will capture a wide range of real-world clinical data regarding demographic profiles, treatment processes, and adverse events. This detailed documentation is expected to clarify patient characteristics, evaluate the clinical course, and identify factors that may affect cognitive improvement in patients with MCI and SCD. CONCLUSION: This research may provide evidence supporting acupotomy for cognitive impairment in primary care by confirming its efficacy and safety, providing preliminary evidence for TKM-based interventions aimed at improving cognitive function.
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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 | 0.023 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".