Cardiovascular Manifestations of Diabetes Mellitus: A Narrative Review of Literatures
Bibliographic record
Abstract
There are many studies documenting that diabetes mellitus is associated with cardiovascular diseases. Diabetes mellitus has a significant role and is an important risk factor in cardiovascular manifestations in patients with diabetes mellitus. Cardiovascular diseases are one of the main causes of morbidity and mortality in diabetic patients. Diabetes mellitus can affect performance, construction, and the anatomy of the heart and vessels. As a result, it can lead to cardiovascular complications, such as left ventricular systolic and diastolic dysfunction, left ventricular hypertrophy, coronary heart disease, peripheral artery disease, myocardial infarction, congestive heart failure, and cardiomyopathy. Different mechanisms of diabetes mellitus play an important role in the manifestations of cardiovascular diseases in diabetic patients. Understanding of these mechanisms can help physicians recognize, prevent, and treat the associated cardiovascular complications of diabetes mellitus. A detailed investigation of cardiovascular complications and diseases might be significant in the prognosis of diabetic patients and can be useful in managing and treating such patients.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".