Prevalence of Peripheral Neuropathy: A Cross Sectional Study among Diabetic Patients
Bibliographic record
Abstract
Diabetes is a growing challenge in India with an estimated 8.7% diabetic patients between 20 and 70 years of age. With the rising prevalence of diabetes mellitus, there is an increasing number of people with complications of Diabetes. Neuropathy is the most common complication of Diabetes and it affects approximately half of all diabetic patients. Methods: A cross sectional study was conducted to assess the prevalence of Peripheral Neuropathy among 86 Diabetic patients selected by cluster sampling technique residing in selected wards of Thiruvattar Panchayat. The selected sample were screened for peripheral neuropathy using Toronto Clinical Neuropathy Score (TCNS). Results: The findings of the study revealed that, totally 38.4% Diabetic patients had Peripheral Neuropathy. Among them, 16.3% of diabetic patients had mild Neuropathy, 12.8% of diabetic patients had moderate Neuropathy and 9.3% of diabetic patients had severe Neuropathy. There was significant association of peripheral neuropathy with selected clinical variables such as duration of Diabetes Mellitus and Fasting Blood Sugar (p<0.000). Conclusion: The prevalence of Diabetic Peripheral Neuropathy was higher among Diabetes Mellitus patients and it has negative impact on the progression of Diabetes Mellitus.
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 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 | 0.003 | 0.001 |
| 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 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".