Effect of Traditional Japanese Medicine, Daikenchuto (TJ-100) in Patients With Chronic Constipation
Bibliographic record
Abstract
BACKGROUND: This study was to compare the effect of a stimulant laxative alone and in combination with traditional Japanese medicine Daikenchuto (TJ-100) in improving stool frequency and in alleviating bloating and abdominal pain in patients with chronic constipation. METHODS: Twenty-two patients with chronic constipation who required sennoside (24 - 60 mg daily) were allocated to two groups for treatment with 7.5 g /day (N = 14) or with 15 g/day (N = 8) of TJ-100. The study period was 12 weeks and consisted of 4 weeks (pretreatment phase) before the administration of TJ-100, 6 weeks (treatment phase) for the administration of TJ-100, and 2 weeks (washout period) after cessation of TJ-100. The bowel movement frequency and the dose of sennoside required were recorded during the study period. Bloating and abdominal pain and gastrointestinal symptoms rating scale were evaluated at 0, 4, 6, and 8 weeks. The gas volume score was measured at 0 week and 6 weeks. RESULTS: The addition of TJ-100 to sennoside resulted in significant improvement in bloating (P < 0.01) and abdominal pain (P < 0.05). Its effects for abdominal pain were dose-dependent. There was no significant change in frequency of bowel movements or the dose of sennoside used. The gas volume score was significantly decreased after the addition of TJ-100 (P < 0.05). CONCLUSIONS: The addition of a traditional Japanese medicine, TJ-100, reduced bloating and abdominal pain in patients with chronic constipation receiving stimulant laxatives, possibly by decreasing the bowel gas volume.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".