Evaluation and Management of Proteinuria After Kidney Transplantation
Bibliographic record
Abstract
In Brief Proteinuria occurs commonly after kidney transplantation. Because there are no specific guidelines for defining and detecting proteinuria in transplant recipients, its prevalence can vary depending on the methods used. Most often, the same cutoffs for defining proteinuria in the nontransplant population are applied. There are several risk factors for proteinuria, including some transplant-specific diagnoses and immunosuppressive medications. Posttransplantation proteinuria is associated with reduced graft survival as well as an increased risk of cardiovascular events and death. Treatments to decrease proteinuria have been based on blocking the renin-angiotensin-aldosterone system with the use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers. This review describes the measurement, prevalence, etiology, prognostic significance, and management of proteinuria in both adult and pediatric transplant recipients. Proteinuria is a simple and valuable biomarker in kidney transplantation. The authors describe the measurement, prevalence, etiology, prognostic significance and management of proteinuria in both adult and pediatric transplant recipients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.002 | 0.001 |
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".