Hyperglycemia effect on red blood cells indices.
Bibliographic record
Abstract
OBJECTIVE: Hyperglycemia has an effect on all body tissues; one of them is the bone marrow. This effect is related to protein glycation and other chemical and physiological changes of red blood cells (RBCs). The aim of this study was to assess the effect of hyperglycemia on different RBCs indices along with evaluating these changes in the normal physiology and chronic diabetes complication pathology. PATIENTS AND METHODS: This is a cross-sectional hospital-based study of 1000 type 2 Saudi diabetic patients without any hematological diseases. Patients were fully evaluated clinically and biochemically with full blood hematological parameters assessment. The studied cohort matched the general characteristics of Saudi type 2 diabetic patients. RESULTS: This study shows that hyperglycemia increases the red blood cells count, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC). Red blood cell distribution width (RDW) was negatively correlated with poor glycemic control. Concurrently, the presence of micro and macroangiopathies with hyperglycemia shortens the lifespan of RBCs. CONCLUSIONS: We conclude that hyperglycemia has an imposing effect on RBCs count and its physiological function, which can be normalized effectively with good glycemic control.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
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".