A study of lipid profile Levels of Type II Diabetes Mellitus
Bibliographic record
Abstract
This study consists of two parts; the Part one is to evaluate the level of Blood glucose and lipid profile among diabetic patients(121 patients) which are compared with non-diabetic subjects (60 persons) and part two is to correlate lipid profile with cardiovascular abnormalities among type II diabetic patients. The diabetic patients were collected from Jabir Aboeleiz Center for Diabetes (51.9±11.22 years). Sixty healthy non-diabetic subjects were chosen as controls (52.44±10.76years). Blood glucose, total cholesterol (TC), triglycerides (TG) and high density lipoprotein (HDL) were measured by enzymatic colorimetric methods in both groups, and low density lipoprotein cholesterol (LDL) was calculated for each sample. Among diabetic patients, there is high glucose level, serum total cholesterol, triglycerides and LDL cholesterol (p<0.5), while low level of HDL cholesterol was observed when compared to non-diabetic subjects. No statistically variation was found in the level of glucose and lipid profile between male and female diabetic patients. In our study, we have found that serum lipid - cholesterol, triglycerides and low-density lipoprotein - levels were significantly (p < 0.05) correlated to cardiovascular abnormalities, while HDL had shown a statistically non-significant correlation (p>0.05). The study concluded that higher level of cholesterol, triglyceride and LDL-cholesterol in diabetic patients compared to non-diabetic subjects with lower level of serum HDL-cholesterol in diabetic patient compared to non- diabetic subjects.Keywords: Diabetic, Insulin, Mellitus and lipid.
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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 | 0.001 | 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 | 0.000 |
| 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".