The Therapeutic Effects of Acorus Tatarinowii Volatile Oil and Electroacupuncture in Post‐Stroke Cognitive Impairment Patients: A Clinical Trial Protocol
Bibliographic record
Abstract
BACKGROUND: Post-stroke cognitive impairment (PSCI) is a common complication following stroke, with limited effective treatments. This randomized controlled trial aims to evaluate the efficacy of two non-pharmacological interventions-electroacupuncture therapy (EA) and herbal olfactory therapy (HOT)-in improving cognitive function in PSCI patients, both as standalone treatments and in combination. METHODS: This parallel-group, assessor-blinded, randomized controlled trial will recruit 210 PSCI patients, randomly assigned to one of six groups: control, EA, HOT, combination therapy, sham therapy, or the healthy (ratio 1:1:1:1:1:1). All participants will receive standard cognitive training and basic medical care. The EA group will receive 4 weeks of electro-acupuncture at specific acupoints. The HOT group will receive 4 weeks of aromatic inhalation therapy using Acorus tatarinowii volatile oil. The combination group will receive both interventions. The primary outcome measure is cognitive function, assessed using the Montreal cognitive assessment (MoCA) at baseline, week 4, and week 8. Secondary outcomes include the mini-mental state examination (MMSE), functional magnetic resonance imaging (fMRI), near-infrared spectroscopy (fNIRS), and anxiety assessment using the state-trait anxiety inventory (STAI) at baseline and week 4. Data analysis will be conducted using a modified intention-to-treat approach. AIMS: This study aims to evaluate the clinical efficacy of EA at cervical acupoints combined with HOT for PSCI, with a specific focus on determining the therapeutic superiority of this combined approach over monotherapy interventions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".