ArticleJournal of Ayurveda and integrative medicine
Effectiveness of Ayurveda treatment in Urdhwaga Amlapitta: A clinical evaluation.
Article in Journal of Ayurveda and integrative medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 16 citations in OpenAlex.
- Molecular study of the KCNJ11 gene and its correlation with Prakriti to preventing and managing type 2 diabetes.Journal of traditional and complementary medicine · 2024Article
- Long-term disease-free survival of a patient of acute myeloid leukemia with superior vena cava syndrome grade 2 with adjunct Ayurvedic treatment: A case report.Journal of Ayurveda and integrative medicineArticle
- Integration of Ayurvedic and Allopathic treatment in hereditary breast and ovarian cancer patient with Germline BRCA1 mutation for long term disease free survival: A case report.Journal of Ayurveda and integrative medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDyspepsia (Amlapitta) is the commonest ailment found in the present time. Nowadays due to unawareness about Prakriti (psychosomatic constitution) people are practising inappropriate diet and lifestyle which leads to disturbances in digestive system. Due to this pitta is imbalanced and common consequences are Amlapitta. If this pitta takes an upward course, then it is called Urdhwaga Amlapitta.
objectiveThis study was conducted to assess the effectiveness of Ayurveda treatment for UrdhwagaAmlapitta in terms of improvement in symptoms, cure rate, satisfaction and side effects if any. MATERIAL AND
methodsThis was a single-arm exploratory open-label clinical trial. Patient with symptom of Urdhwaga Amlapitta were diagnosed as per Rome IV criteria and were further assessed as per eligibility criteria. Thirty patients were enrolled. They were given different herbo-mineral preparation as per ones Prakriti. These drugs were given for 28 days and patients were followed weekly in OPD for assessment of their symptom severity scores.
resultTiktamlodgar (acid eructation) and Gurukoshthatva (heaviness in abdomen) was the most commonly occurring symptom in 93% (n = 28) of participants. Seventy Percent (n = 21) of participants had Avipak severity of grade 2 or 3 followed by Gaurav in 50%. The patient was symptomatically relieved by all the symptoms of Urdhwaga Amlapitta by 3rd visit (21st day) and the difference in score was statistically significant. All participants express willingness take Ayurveda medicine in future.
conclusionCombination of Ayurveda drugs as per ones Prakriti and severity of symptoms, given to the patient of Urdhwaga Amlapitta was found to effectively cure patients within 28 days. These drugs were found to be well-tolerated, safe and acceptable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.