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Record W4410318640 · doi:10.2196/preprints.70953

Clinical Efficacy and Safety of the Herbal Prescription, HH333, in Preventing Recurrent Stroke in Patients With Ischemic Stroke Induced by Small-Vessel Disease: Protocol for Multicenter, Double-Blind, Randomized, Prospective, Pilot Clinical Trial (Preprint)

2025· preprint· en· W4410318640 on OpenAlexaboutno aff
Han‐Gyul Lee, Seungwon Kwon, Woo‐Sang Jung, Sang‐Kwan Moon, Cheol-Hyun Kim, Dong-jun Choi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineClinical trialStroke (engine)Ischemic strokeMedical prescriptionRandomized controlled trialClinical researchProtocol (science)Clinical efficacyPilot trialDiseaseInternal medicineIschemiaAlternative medicinePharmacologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND Patients with ischemic stroke are at high risk of recurrence, making preventive care an important factor. Current antiplatelet therapy for recurrence prevention treatment has several limitations. Recent retrospective observational studies suggested that HH333, an herbal prescription, has an inhibitory effect on stroke recurrence in small-vessel diseases. OBJECTIVE This study aims to propose a protocol for evaluating the efficacy and safety of HH333 in patients with ischemic stroke induced by small-vessel disease. METHODS In this multicenter, double-blind, randomized, prospective, pilot clinical trial, 236 patients from 3 university Korean medicine hospitals in South Korea with ischemic stroke caused by small-vessel disease will be recruited and randomly assigned to either the HH333 or the placebo group. Both patients and investigators will be blinded to prevent access to the allocation results. The HH333 group will take 2 capsules of HH333 once daily for 720 days, whereas the placebo group will take HH333 placebo capsules in the same manner. Efficacy will be assessed using the recurrence rate of ischemic stroke, which will be assessed on days 30, 90, 180, 270, 360, 450, 540, 630, 720, and 750 after starting the medication. The effects on quality of life and fatigue with the Fatigue Severity Scale (FSS), Fatigue Assessment Scale (FAS), and Korean Patient Health Questionnaire (K-PHQ-9), functional improvement with Korean National Institutes of Health Stroke Scale (K-NIHSS), modified Rankin Scale (mRS), Korean modified Barthel Index (K-mBI), and Korean Montreal Cognitive Assessment (K-MoCA) and Pattern Identification also will be evaluated on days 0, 90, 180, 270, 360, 450, 540, 630, and 720 after starting the medication. Safety will be evaluated by performing blood and urine tests and electrocardiography on days 30, 90, 180, 270, 360, 450, 540, 630, and 720 after starting the medication. RESULTS Recruitment for the study started on May 22, 2024, and is scheduled to end on November 30, 2026. As of November 13, 2024, a total of 12 participants have been randomized. CONCLUSIONS The protocol will provide a detailed process for a clinical trial evaluating the efficacy of preventing recurrent ischemic stroke caused by small-vessel disease and improving neurologic symptoms and the safety of HH333 in ischemic stroke. The results of this study provide a basis for alternative treatments to prevent and treat ischemic stroke. CLINICALTRIAL Clinical Research Information Service KCT0009431; https://tinyurl.com/y2ctvje8 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/70953

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0280.005

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.

Opus teacher head0.103
GPT teacher head0.389
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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