Effect of a single hemodialysis session on inflammatory markers
Bibliographic record
Abstract
Inflammation is a common feature of end-stage renal disease. Although there is evidence for hemodialysis (HD)-induced inflammatory process, the effect of a dialysis session on changes in inflammatory markers is still unclear. Seventeen patients of end-stage renal disease on maintenance HD along with 20 age-matched and sex-matched healthy controls were recruited after informed consent. C-reactive protein (CRP) and lipoprotein-associated phospholipase A2 (LpPLA2) activity were measured in the study and control groups. Intradialytic in CRP and LpPLA2 were studied. Comparison of pre-HD vs. the control group and predialytic and postdialytic values was performed using the Mann-Whitney U test and Wilcoxon's test, respectively. Statistical evaluation of intradialytic changes in inflammatory markers was performed using Friedman's test. Hemodialysis patients had higher CRP levels compared with controls (P=0.001). Post-HD LpPLA2 activity (n=17) was higher (P=0.039) compared with the pre-HD activity. Intradialytic changes in inflammatory markers showed a significant increase (P=0.012) in LpPLA2 activity (n=7), while no change (P=0.133) was observed in CRP levels (n=17). Evidence on the pro-inflammatory state being initiated by dialysis is provided by increased LpPLA2 activity. This may add to the atherogenic mileu and cause endothelial dysfunction in this high-risk group. Drugs that inhibit the LpPLA2 pathway have been developed and may be effective in these patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.002 | 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".