Registry of Stroke in Korean Medicine Hospital (RoS-KoMH): Protocol for a Prospective, Multicenter, Observational Study
Bibliographic record
Abstract
BACKGROUND: Currently, conventional medicine for stroke treatment remains at a standstill. Korean medicine (KM), which is in high demand in Korea, has been shown to have a therapeutic effect on stroke; however, considering the absence of epidemiological and clinical characteristics of patients receiving KM for stroke in Korea and prospective, large-scale, long-term studies on the efficacy and safety of KM, the acquisition of data from KM treatments on stroke is essential. OBJECTIVE: We aimed to collect and analyze data on the major clinical characteristics of patients with stroke receiving KM treatment and investigate the effectiveness and safety of KM in the Korean population. METHODS: The Registry of Stroke in Korean Medicine Hospital (RoS-KoMH) is a prospective, multicenter, observational disease registry aimed at collecting data from 500 sets of patients at multiple timepoints. Eligible adult patients diagnosed with cerebral infarction, cerebral hemorrhage, or subarachnoid hemorrhage who visited 4 KM hospitals as outpatients or inpatients will be continuously registered using the electronic case report form. Baseline data at the first visit; KM treatment, rehabilitation therapy, and concomitant therapy during the visit; stroke evaluation every 4 weeks after the first visit; laboratory findings at discharge or the last visit; and safety evaluation information after each acupuncture or pharmacopuncture treatment will be collected. RESULTS: The study was funded on August 19, 2020, by the Ministry of Health and Welfare, Republic of Korea, and recruitment for the study started on November 3, 2021. As of September 25, 2024, a total of 410 participants have been recruited. CONCLUSIONS: The RoS-KoMH study is the first and largest multicenter, prospective registry to record comprehensive data on KM treatment of stroke. The results of this study will provide high-quality evidence on the current state of stroke treatment using KM in actual clinical practice, as well as treatment effectiveness and safety, and will consequently contribute to the promotion and standardization of therapeutic interventions for stroke in Korea. TRIAL REGISTRATION: Clinical Research Information Service KCT0008494; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=23999&search_page=L&search_lang=&class_yn=. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67850.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".