Evaluation of the Effects of Insulin Therapy on peripheral Nervous System in Diabetic Patients
Bibliographic record
Abstract
Peripheral neuropathy is common diabetic complication that associated with high rates of morbidity and mortality. Insulin therapy is essential in treatment of diabetic peripheral neuropathy; however, rapid strict glycemic control may lead to many complications such as neuropathy. This study performed to evaluate the effect of insulin therapy on peripheral nervous system in patients with type 2 diabetes. This study was conducted in outpatient clinics of Neurology departments of “Azadi Teaching Hospital in Kirkuk city-Iraq” during the period from the 1st of October, 2015 to 30th of September, 2017 included 50 type 2 diabetic patients treated with insulin therapy. Patients followed up at 3rd and 6th months after first examination by evaluating fasting blood sugar, hemoglobin A1c, Toronto scoring and nerve conduction study. Findings revealed predominance of females. There was a significant decline in overnight fasting blood sugar and hemoglobin A1c levels after 6 months follow up (p<0.001). The mean Toronto score increased from 5.9 at baseline to 10.6 after 3 months and 12.1 after 6 months. In conclusion the rapid strict glycemic control of blood sugar level is obviously considered to be a risk factor for peripheral neuropathy development among type 2 diabetic patients.
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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 | 0.001 |
| 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) | 0.001 | 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 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".