The Effect of Acupuncture on Chemotherapy-Associated Gastrointestinal Symptoms in Gastric Cancer
Why this work is in the frame
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Bibliographic record
Abstract
Background: Gastrointestinal (gi) symptoms are the most notable side effects of chemotherapeutic drugs; such symptoms are currently treated with drugs. In the present study, we investigated the effect of acupuncture on gi symptoms induced by chemotherapy in patients with advanced gastric cancer. Methods: A cohort of 56 patients was randomly divided into an experimental group and a control group. All patients received combination chemotherapy with oxaliplatin–paclitaxel. Patients in the experimental group received 30 minutes of acupuncture therapy daily for 2 weeks. The frequency and duration of nausea, vomiting, abdominal pain, and diarrhea, the average days and costs of hospitalization, and quality-of-life scores were compared between the groups. Results: Nausea was sustained for 32 ± 5 minutes and 11 ± 3 minutes daily in the control and experimental groups respectively (p < 0.05). On average, vomiting occurred 2 ± 1 times daily in the experimental group and 4 ± 1 times daily in the control group (p < 0.05). Abdominal pain persisted for 7 ± 2 minutes and 16 ± 5 minutes daily in the experimental and control groups respectively (p < 0.05). On average, diarrhea occurred 1 ± 1 times daily in the experimental group and 3 ± 1 times daily in the control group (p < 0.05). The average quality-of-life score was higher in the experimental group than in the control group (p < 0.05). No adverse events were observed for the patients receiving acupuncture. Conclusions: Acupuncture, a safe technique, could significantly reduce gi symptoms induced by chemotherapy and enhance quality of life in patients with advanced gastric cancer.
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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 | 0.001 |
| 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 it