Evidence map›Paper›PMID 33678559›Full record

ReviewJournal of Ayurveda and integrative medicine

Methodology for developing and evaluating diagnostic tools in Ayurveda - A review.

Mukesh Edavalath, Benil P Bharathan

Open access · goldAbstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Mukesh EdavalathDepartment of Roganidana, VPSV Ayurveda College, Kottakkal, Kerala, India. Electronic address: mukeshayur@gmail.com.
Benil P BharathanDepartment of Agadatantra, VPSV Ayurveda College, Kottakkal, Kerala, India.
Vaidyaratnam P.S. Varier Ayurveda College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Ayurveda diagnosisAyurvedic diagnostic tool developmentDiagnostic accuracyDiagnostic test assessmentGold standard

Identifiers

PMID33678559
PMCPMC8185968
OpenAlexW3134909249

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.