Effect of dialyzer reprocessing on glucose homeostasis
Bibliographic record
Abstract
This study was designed to investigate the possible effect of dialyzer re‐use on glucose hemostasis. Twenty patients with end stage renal failure (including ten non insulin dependent diabetes mellitus [NIDDM]) on thrice weekly hemodialysis (using glucose free dialysate), were studied by serial assessment of blood glucose, C‐peptide, interleukin 1‐B (IL‐IB), Ca, Na and K at zero, 1 and 4 hours (end of dialysis) during hemodialysis on new, and then on re‐used (first) cuprophane dialyzers. Our results showed significant rise of C‐peptide, IL‐1B with drop of blood glucose in first hour sample (and was symptomatic in some diabetics) in both groups when using new dialyzers but these changes were less marked and totally asymptomatic when using reprocessed dialyzers. In addition there was a significant positive correlation between IL‐1B level and C‐peptide at 1 and 4 hour samples and negative correlation between IL‐1B and blood glucose at 1 and 4 hour samples. Conclusion: Through the effect of IL‐1B on insulin release curophane dialyzers can affect glucose homeostasis especially in diabetics and hypoglycemia might be part of the first use syndrome. It may be recommended that measurement of glucose effect of dialysis membrane on glucose homeostasis might be an important parameter of membrane bioincompatibility.
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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 | 0.000 |
| 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".