Factors associated with deterioration of life expectancy in diabetic patients with chronic renal failure: a review
Bibliographic record
Abstract
Diabetes mellitus is a chronic disease, linked with elevated levels of blood glucose. When diabetes goes uncontrolled, complications such as, coronary heart disease, neuropathy, retinopathy and nephropathy may develop. This will reduce life quality and expectancy. Proper management of the disease by knowing the factors that may alter body homeostasis will play a major role in improving life quality, overcome complication and reduces expenses at a national level. As the prevalence of diabetes in Oman increases and more that 14% of the population are affected. It is important to emphasize more research on diabetes complication associated with renal problems and how to improve life quality. The objective of this review is to draw attention to the major factors associated which deterioration in life expectancy in diabetes patients which chronic renal failure. It was found out that most of complications among the groups were due to lake of awareness and neglect of the consequences of not following the diet therapy and/or medical description. These problems are specially found in elder patients who are diabetics for more than 10 years. There is still a need for an appropriate intervention intensive health education to support this high risk group.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".