Diagnostic correlation of elemental derangement findings through Panchapatchi sasthiram (Five bird diagnostic sign) in patients of Madhumegam (Diabetes mellitus)
DOI:
https://doi.org/10.47552/ijam.v14i1.3212Keywords:
Panchapatchi sasthiram, Diagnostic tool, Humours, Madhumegam, Diabetes mellitusAbstract
Panchapatchi Sasthiram or five bird diagnostic methodology is one among the diagnostic methods that relies on the concept of Panchabootha theory. Panchaboothas are represented by five birds (Patchi) in Panchapatchi Sasthiram (five bird diagnostic sign) which helps in cost effective diagnosis of various diseases. Objective: To evaluate the representative Patchi & Humours associated with Madhumegam (Diabetes Mellitus) patients as per Panchapatchi Sasthiram (five bird diagnostic sign) during consultation. Materials & Methods: A cross sectional study was conducted among 100 Madhumegam patients reported in the OPD of Ayothidoss Pandithar hospital. Panchapatchi calculation is the methodology of identifying the relevant affected action corresponding to each bird which may be further correlated to identify the affected Panchabhootham and affected humour in turn based on the waxing and waning of moon. Results: According to Siddha text; Pithavatham, Vathapitham and Vathakabam are the predominant humours in madhumegam. Among 100 patients assessed by means of Panchapatchi sasthiram (five bird diagnostic sign), 32 patients had pithavatham, 26 patients had vathakabam, 14 patients had vathapitham, 18 patients had kabavatham, 5 patients had kabapitham, 5 patients had kabam and it is observed that 72% participants possessed where of Naadinadai (Estimated through Panchaptchi sasthiram (five bird diagnostic sign)) as per the madhumegam literature. Conclusion: The Naadinadai (pulse play) mentioned in the literature agrees more than 70% with that of Panchapatchi based estimation. Hence it is hypothesized that Panchapatchi sasthiram based humoral assessment can be further evaluated as it is found helpful in the estimation of Naadinadai in diabetes mellitus. More over by means of this tool we can diagnose a condition with contactless evaluation.
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