Use of Electron-Beam Sterilized Hemodialysis Membranes is Not Associated with Significant and Persistent Thrombocytopenia
Bibliographic record
Abstract
Significant thrombocytopenia following hemodialysis with electron-beam (e-beam) sterilized membranes has been recently reported in a large-scale Canadian study. However, the underlying mechanism and the clinical significance of this finding remain undetermined as yet. We prospectively evaluated for a 4-month period the thrombocytopenic effect of the e-beam sterilized dialyzers as compared to the steam sterilized ones in two groups of well-controlled hemodialysis patients. There were no significant differences in pre- and post-dialysis platelet counts of patients using e-beam-sterilized dialyzers compared to those using steam-sterilized ones. Furthermore, no statistically significant differences between pre- and post-dialysis platelet counts were found throughout the study in the e-beam-sterilized group. However, 1 out of 9 patients demonstrated significant post-dialysis thrombocytopenia in 2/4 measurements. In conclusion, our study data do not support a continuously occurring thrombocytopenic effect in patients dialyzed with e-beam sterilized membranes. Further studies are needed to determine whether and how the use of e-beam sterilization may impact the interaction between certain membranes and platelets.
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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 | 0.006 |
| 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".