Bibliographic record
Abstract
PURPOSE OF REVIEW: The peritoneal membrane provides the interface between dialysate fluid and blood for peritoneal dialysis patients. Functional properties of the peritoneal membrane have important clinical implications. This review will outline recent observations concerning structural changes in the peritoneal membrane and the impact on function and clinical outcomes. RECENT FINDINGS: Peritoneal membrane function - solute transport and ultrafiltration - is a complex process involving new blood vessel growth along with changes in the nature of blood vessels and the interstitial environment of these vessels. Advanced glycation end-products produced by reactive oxygen species in the dialysis fluid have been identified as an agent of tissue fibrosis. Nitric oxide and IL-6 also have important roles in peritoneal membrane injury. Gene polymorphisms associated with peritoneal membrane function have been identified. As the mechanisms of peritoneal membrane injury become better elucidated, targeted therapies are being developed. The role of biocompatible and nonglucose dialysis fluids needs to be further defined. SUMMARY: The peritoneal membrane is the lifeline for peritoneal dialysis patients. Our understanding of mechanisms of injury and functional responses continues to expand and will hopefully lead to therapies to improve the clinical outcomes for peritoneal dialysis patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".