Efficacy of GV-1 Aqua-acupuncture for Acute Diarrhea in Dogs: A Controlled, Randomized Clinical Study
Bibliographic record
Abstract
The objective of this randomized controlled study was to determine whether integrating GV-1 aqua-acupuncture (aqua-AP) and conventional therapy can accelerate the resolution of acute diarrhea in dogs. A total of 39 client-owned dogs experiencing acute diarrhea of less than 5 days duration were enrolled and randomly assigned to Group A, conventionally treated control (no aqua-AP); Group B, conventionally treated control plus sham aqua-AP (subcutaneous injection of vitamin B12 at a non-acupuncture point); or Group C, conventionally treated plus aqua-AP at GV-1 (vitamin B12 injected at GV-1 acupuncture point). Conventional treatment, uniformly applied to all patients, consisted of a bland diet, metronidazole and probiotics. Each owner, blinded to the group assignment of their dog, reported the time duration from the start of the treatment to the first observed normal stool (denoted as Tns). Study results revealed a significant difference among the Tns values of the 3 study groups. The mean±SD Tns in Group A was 68.0±59.5 hours and 59.5±41.6 hours in Group B. Group C was 22.6±28.6 hours, which was more than 50% shorter than each of the other 2 groups. Furthermore, the proportion of subjects in Group C, whose first stool after treatment initiation was normal, was significantly greater than the other groups (A: 7.7%; B: 7.7%, and C 46.2%; p = 0.029). These findings suggest that aqua-AP at GV-1 can be an effective integrated treatment with conventional therapy for resolving acute diarrhea in dogs. Further studies with a larger sample size, and comparisons with other conventional treatments are warranted.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".