Cardiovascular and Respiratory Measures in Adults With Early-onset Type 2 Diabetes Mellitus Compared With Matched Controls
Bibliographic record
Abstract
OBJECTIVES: The aim of the study was to compare cardiac and respiratory function at rest in participants with early-onset type 2 diabetes and a control group without diabetes, matched for age, sex, and body mass index (BMI). METHODS: This study included 18 participants with early-onset type 2 diabetes (12 men and 6 women, age 34.9±6 years, diabetes duration 3.1±3.0 years) and 14 control participants without diabetes, matched for age, sex, and BMI (9 men and 5 women, age 32.9±5.2 years). Participants underwent resting echocardiography and pulmonary function tests. Fasting blood samples were analyzed for glycated hemoglobin, glucose, C-reactive protein, insulin, free fatty acids, and N-terminal pro-B-type natriuretic peptide. RESULTS: Significant differences between groups were observed in left ventricular diastolic function at rest. Compared with controls, the group with early-onset type 2 diabetes had lower E/A (ratio between early [E] and late [A] ventricular filling velocity) (p=0.002), higher E/e' (representing left ventricular filling pressure) (p=0.017), lower e' (early myocardial relaxation velocity) (p<0.001), and lower diffusing capacity of the lung for carbon monoxide (p=0.003). CONCLUSIONS: Subclinical left ventricular diastolic dysfunction and lower lung diffusing capacity were detected in participants with early-onset type 2 diabetes when compared with matched controls.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".