Inflammation, cardiovascular disease and nocturnal hemodialysis
Bibliographic record
Abstract
PURPOSE OF REVIEW: There is a growing recognition that uremia is a proinflammatory condition. Chronic uremia-associated inflammation contributes to the pathogenesis of atherosclerosis, anemia and cardiovascular calcification in patients with end-stage renal disease (ESRD). Daily nocturnal hemodialysis (DNHD) is a form of frequent intensive renal replacement therapy that has multiple cardiovascular benefits. Here we will review the emerging data of DNHD on inflammation, coronary calcification and anemia management. RECENT FINDINGS: Increasing the dose and frequency of dialysis by DNHD has been demonstrated, in both short and long-term studies, to reverse several important risk factors for adverse cardiovascular events in ESRD patients. In addition, there are preliminary data indicating the positive effects of DNHD on inflammatory cytokine profile, rate of coronary calcification progression and enhanced erythropoietin responsiveness. SUMMARY: Augmentation of dialysis dose by DNHD may positively influence uremia-related inflammation. The role of intensive dialysis as a treatment for chronic inflammation requires further research.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".