Integrative Approach to the Management of Diabetic Neuropathy Using Marma Chikitsa and Panchakarma Therapies
Why this work is in the frame
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Bibliographic record
Abstract
The National Centre for Disease Control (NCDC) has reported that India has 6.51 crore diabetes cases, with projections reaching 10.9 crore by 2035. Diabetic neuropathy is a prevalent complication of long-standing Type 1 and Type 2 Diabetes mellitus, affecting approximately 10.5% to 44.9% of individuals. With Diabetes emerging as a global epidemic in both developed and developing nations, effective management of its complications is the need of the hour. Diabetic neuropathy manifests as nerve damage, leading to symptoms such as hyperesthesia, paresthesia, pain, and sensory loss. Despite advancements in glycemic control strategies, conventional treatment remains inadequate in addressing neuropathic symptoms comprehensively. To bridge this gap, a holistic approach integrating Marma Chikitsa with Panchakarma therapies was implemented at our center, for the management of Diabetic Neuropathy where-in 5 patients presented with symptoms of diabetic neuropathy. This integrative intervention yielded significant improvements, demonstrating the efficacy of Marma Chikitsa in conjunction with Panchakarma therapies. Notably, patients experienced faster and more effective relief, as validated by the Modified Toronto Clinical Neuropathy Score (TCNS) assessment. These findings highlight the potential of Ayurveda-based therapies in enhancing neuropathic symptom management and underscore the necessity of adopting a holistic framework for diabetic care.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it