Association between Markers of Inflammation, Fibrosis and Hypervolemia in Peritoneal Dialysis Patients
Bibliographic record
Abstract
BACKGROUND/AIM: Volume expansion in peritoneal dialysis (PD) patients is associated with left ventricular hypertrophy. The link between inflammation and hypervolemia has not been extensively studied. The aim of this study was to determine if an association exists between hypervolemia and markers of inflammation in PD patients. METHODS: In this cross-sectional study of 22 prevalent PD patients, volume was determined by bioelectrical impedance analysis. Serum and peritoneal effluent interleukin-6 (IL-6) and peritoneal transforming growth factor (TGF)-beta(1) were measured. A fast peritoneal equilibration test determined peritoneal transport status. RESULTS: Bioimpedance-derived measures of hypervolemia correlated with peritoneal effluent IL-6 and TGF-beta(1). Peritoneal IL-6 was also associated with high peritoneal transport status. CONCLUSIONS: Markers of inflammation and fibrosis (peritoneal IL-6 and TGF-beta(1)) are associated with markers of hypervolemia.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| 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".