Ayurvedic Treatment Modalities of Diabetic Peripheral Neuropathy
Bibliographic record
Abstract
Diabetic peripheral neuropathy is the damage of the nerves due to the uncontrolled diabetes. It can affect any of the neurons can affect any of the neurons. Diabetic distal symmetric sensory and sensorimotor polyneuropathy is the most prevalent type of diabetic neuropathy. The symptoms appear as sensory loss, first in the toes and progressively moving up the legs, fingers, and arms over time. Tingling sensation, Burning sensation, Deep aching pain are other related symptoms. A patient age 54 years with diabetes for past 15 years, hypertension, dyslipidemia, complains of burning sensation of both feet (right>left), numbness, pricking pain, unsteadiness while walking, brownish red discolouration of both lower limbs. The symptoms were gradual in onset. Nerve Conduction Study showed axonal type of motor and sensory affecting peroneal nerve neuropathy. He admitted in Vaidyaratnam Ayurveda College Hospital, done Vibrotherm Neuropathy Analyzer and revealed small and large fibre neuropathy with severe loss of sensations. The main intention of the study is to improve the quality of life of the patient by reducing the symptoms that is disturbing his day today routine. Patient given with anti diabetic Ayurvedic formulations internally. Externally Rookshana, Vatahara, Brimhana treatments were done. After the treatment, Michigan neuropathy screening instrument, diabetic Neuropathy symptom score, Toronto clinical scoring system score were reduced. Neuropathy Analyzer showed mild to moderate loss of sensation. By adopting Prameha hara chikitsa coupled with Vata vyadhihara chikitsa, complications of diabetes can be managed. It is important to focus on diet and regimen since diabetes is a lifestyle disorder and, in ayurveda it is considered as an Anushangi Vyadhi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".