The Herbal Medicine Daikenchuto Increases Blood Flow in the Superior Mesenteric Artery
Bibliographic record
Abstract
Daikenchuto is a traditional herbal medicine that is used for the treatment of cold feeling in the abdomen, while Orengedokuto, also a traditional herbal medicine, is used for treating inflammatory and ulcerative diseases affecting internal organs. However, the effects of these herbal medicines on cardiac output (CO) and intestinal blood flow have never been investigated. This examiner-blinded randomized crossover study intended to clarify the influence of Daikenchuto and Orengedokuto on CO and blood flow volume in the superior mesenteric artery (SMA). Fourteen healthy men (35 +/- 7 years old) were randomly assigned to two groups: group A and group B. Initially, all subjects were given 50 ml of water orally. After 7 days, subjects in group A were given 5.0 g of Daikenchuto, and 7 days later they were given 2.5 g of Orengedokuto. These herbal medicines were given to group B subjects in the reverse order. CO and SMA blood flow volume were measured from rest to 90 min after the administration of water or each medicine. There was a significant increase in SMA blood flow volume after the administration of Daikenchuto, compared to water alone (p < 0.05) and Orengedokuto (p < 0.05). SMA blood flow volume was significantly increased between 5 and 90 min after administration of Daikenchuto (p < 0.01) compared to the resting state. However, there was no significant change in CO after the administration of either agent. The present study indicates that Daikenchuto increases SMA blood flow volume without increasing CO.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".