Clinical Study of Godhuma Yusha (Triticum Aestivum Linn.) in Amlapitta (Gastritis)
Bibliographic record
Abstract
Gastritis is a condition that results from inflammation of the gastric mucosal layer characterized by swelling, pain and mucosal membrane irritation of the stomach. Gastritis in Ayurveda can be compared to Amlapitta and consumption of Godhuma in Ayurvedic classics is shown to be very effective. Objectives: To evaluate the study on Godhuma yusha in Amlapitta (gastritis) and assess its effects on Amlapitta (gastritis) Study Design: This was a randomized controlled study with 30 patients divided into two groups. Group A and Group B. Intervention: Group A included 15 patients and was administered 15ml of Godhuma yusha twice daily for a period of 3months. Group B also had 15 patients and was administered placebo 5gm twice daily. All the patients were followed at an interval of 15 days up to 3 months. Results: All the parameters such as Amlodgara, Hritkantadaha, Gourava, Utklesha, Avipaka and Agnimandya showed significant results in both the groups; Group A and Group B after the treatment compared to before treatment with p<0.0001 with more significant results in Group A compared to Group B with statistically significant results (p<0.001). Conclusion: Godhuma Yusha consumption was more effective compared to placebo in the management of Amlapitta.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".