C-peptide and epicardial adipose tissue in dialysis-dependent chronic kidney disease patients
Bibliographic record
Abstract
Background: Several studies suggest that C-peptide (CP) is involved in regulating lipolysis, adipokine release, and other functions in the adipose tissue. On the other hand, organ-specific adipose tissues, such as the epicardial adipose tissue (EAT), have been reported as an independent cardiovascular risk factor in patients on dialysis. This study aimed to evaluate the association between CP, EAT volume, and coronary artery calcification (CAC) as markers of cardiovascular risk, on subjects with type 2 diabetes receiving insulin and dialysis. Methods: This is a retrospective study on 62 patients with chronic kidney disease (CKD) stage 5 on dialysis awaiting kidney transplantation and referred for cardiovascular risk stratification at the Emory University Hospital. Computed tomography (CT) was used to assess CAC and to measure EAT volume. Demographic and anthropometric data were collected from all patients through record review. Results: The mean patient age was 43 ± 11 and 55% were women. None of the serum analytical parameters correlated with CP. Subjects with higher BMI exhibited higher levels of CP. EAT volume strongly correlated with CP levels, and it was significantly correlated with CAC. On the contrary, no correlation was found between CP and CAC. Conclusion: The significant association between EAT volume and CP suggests a potential role of CP in the cardiovascular physiopathology of patients with ESKD on dialysis. Insufficient statistical power was probably the cause of the lack of association of CP with CAC. Observational prospective studies are required to characterize CP as a cardiovascular risk marker in patients with ESKD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 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".