Yokukansan for the treatment of preoperative anxiety and postoperative delirium in colorectal cancer patients: a retrospective study
Bibliographic record
Abstract
BACKGROUND: Yokukansan (YKS), a Japanese traditional herbal medicine for neurosis and insomnia, is speculated to be useful for perioperative psychiatric symptoms in cancer patients, but there exists little empirical evidence. This study provides preliminary data about the efficacy, feasibility, and side effects of YKS for the treatment of preoperative anxiety and postoperative delirium in cancer patients. METHODS: We retrospectively reviewed the medical records of colorectal cancer patients who took YKS for preoperative anxiety, evaluating the following: (1) patient characteristics, (2) feasibility of taking YKS, (3) changes in preoperative anxiety based on the Clinical Global Impression (CGI) scale and Edmonton Symptom Assessment System-revised (ESAS-r-anxiety), (4) incidence of postoperative delirium and (5) YKS-related side effects. RESULTS: We reviewed 19 medical records. There was a significant difference between ESAS-r-anxiety scores (P = 0.028) before and after taking YKS, but no difference between CGI scores (P = 0.056). The incidence of postoperative delirium was 5.2% (95% CI = 0.0-14.5). One patient could not complete the course of YKS during the perioperative administration period, but there were no side effects of Grade 2 or worse according to the Common Terminology Criteria for Adverse Events v4. CONCLUSIONS: Cancer patients could safely take YKS before surgery. There was a significant improvement in preoperative anxiety after taking YKS, and the incident rate of postoperative delirium was lower than in previous studies. These results suggest that YKS may be useful for perioperative psychiatric symptoms in cancer patients. Further well-designed studies are needed to substantiate our results.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".