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Record W4402842246 · doi:10.47070/ijapr.v12i7.3317

Clinical Study of Godhuma Yusha (Triticum Aestivum Linn.) in Amlapitta (Gastritis)

2024· article· en· W4402842246 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Ayurveda and Pharma Research · 2024
Typearticle
Languageen
FieldNursing
TopicFood Science and Nutritional Studies
Canadian institutionsSunnybrook HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineGastritisTraditional medicineInternal medicineStomach

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.242
GPT teacher head0.563
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it