ReviewJournal of Ayurveda and integrative medicine
Methodology for developing and evaluating diagnostic tools in Ayurveda - A review.
Review 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 6 papers.
What it found
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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
6 citing papers in PubMed, 20 citations in OpenAlex.
- Ayurveda in Preventive and Supportive Healthcare: Current Evidence, Safety, and Clinical Integration.Cureus · 2026Review
- Establishing key components of a combined ayurvedic diet and yoga therapy program for weight management in women with polycystic ovary syndrome: a Delphi study.BMC complementary medicine and therapies · 2025Article
- The Brief Prakriti Inventory: Latent structure, reliability, and validity.Wellcome open research · 2025Article
- Development and validation of measurement instruments for Ayurveda research: A systematic review protocol.Journal of Ayurveda and integrative medicineReview
- Chronic periodontitis, dantamoolaroga, indicates chronic systemic inflammation and reduces longevity.Journal of Ayurveda and integrative medicineReview
- The Ayurvedic Anger Assessment Scale: An integrative approach for measuring anger in adults.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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ayurveda has a holistic and person-centric approach towards health and disease, which in turn necessitates consideration of several factors in the process of a diagnostic workup. This concept of personalised diagnosis brings about a high level of variability among the clinicians with respect to their assessment methods and disease diagnosis. Developing and validating diagnostic tools for diseases enumerated in the Ayurvedic classical textbooks can help in standardising the clinical approach, even when attempting to arrive at a patient specific diagnosis. However, diagnostic research is a very less explored area in Ayurveda and there are no established standards for developing and evaluating diagnostic tools. This paper reviews the methodology for the development and validation of diagnostic tools, available in published literature and proposes to integrate this in the field of Ayurveda. The search was conducted on online databases including PubMed, Science Direct, Scopus, and Google scholar, with keywords - ayurvedic diagnosis, diagnostic tool development, validity, reliability, and diagnostic test assessment. The articles were screened based on their comprehensiveness, relevance, and feasibility, and the methodology elaborated in the selected articles was organized into a framework that can be adopted in Ayurveda. We have also tried to examine the methodological challenges of integrating the fundamentals of ayurvedic diagnosis within the current methods of diagnostic research and explored possible solutions. The proposed tool development process involves both qualitative and quantitative components, which may be carried out in three phases that include setting the diagnostic criteria, tool development and validation, and diagnostic test assessment.
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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.