Efficacy of Qurse Ziabetas Khas and Habb-e-Asab in the Management of Diabetic Peripheral Neuropathy: A Case Series
Bibliographic record
Abstract
Diabetic Peripheral Neuropathy (DPN) is a prevalent complication of type 2 diabetes mellitus (T2DM), typically managed symptomatically owing to a lack of curative therapies. The Unani System of Medicine offers holistic management strategies aligned with Akhlat (~humoral) balance and detoxification. This case series assessed the efficacy of two classical Unani formulations, Qurse Ziabetus Khas (QZK) and Habb-e-Asab (HA), in DPN patients. Three male patients, aged 52–59 years, diagnosed with T2DM and DPN symptoms, were included. Each patient had experienced tingling, numbness, and burning pain in the lower extremities. The intervention involved oral administration of QZK (2 g) and HA (500 mg) twice daily for 56 days alongside conventional medicines. Clinical evaluation included the Toronto Clinical Neuropathy Score; Vibration Perception Threshold (VPT); Visual Analogue Scale for pain, burning sensation, and numbness with HbA1c levels; and WHOQOL-BREF for quality of life. Post-treatment, two patients showed marked reductions in VPT values, and all three patients reported decreased pain intensity (VAS scores decreased from 8–9/10 to 3–6/10). The WHOQOL-BREF scores improved in all the patients (40–47 to 55–71). HbA1c levels decreased, indicating improved glycemic control. No adverse events were reported. QZK and HA have demonstrated promising results in alleviating neuropathic symptoms, improving glycemic control, and enhancing the quality of life in patients. These findings support Unani pharmacotherapy as a complementary approach for the management of DPN. Larger controlled trials are needed to confirm these observations and to establish standardized treatment protocols.
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How this classification was reachedexpand
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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".