Relationship between the duration of diabetes and severity of neuropathy in patients of peripheral neuropathic diabetic foot ulcers
Bibliographic record
Abstract
Background: Diabetic foot ulcer (DFU) has devastating impact on the social, personal as well as economic life of a diabetic patient. In US, prevalence of peripheral neuropathy in adult diabetics is approximately 28%. The aim of this study is to establish relationship between the duration of diabetes and severity of neuropathy in patients with peripheral neuropathic DFU. Methods: This is a prospective observational study, including 30 patients, who underwent history, examination and Toronto clinical scoring system (TCSS) was used for diagnosing severity of diabetic peripheral neuropathy (mild, moderate, severe) from a period of October 2015 to June 2017. Results: In this study, we observed that the mean age of the diabetic foot patients was 53.50±12.03 years ranging from 30 to 75 years. Male-to-female ratio was 1.5:1. The mean duration of diabetes was 6.38±4.57 years. The patients with mild neuropathy had a mean duration of diabetes of 4.77±2.61 years, while, those with moderate and severe neuropathy had mean duration of 7.17±1.48years and 8.48±4.59 years, respectively. Conclusions: The study concluded that there is a significant association between duration of diabetes and severity of neuropathy, i.e., patients with longer duration of diabetes had severe peripheral neuropathy.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.003 | 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 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".