Polyomavirus infection and disease in renal transplant recipients
Bibliographic record
Abstract
Asymptomatic urinary excretion of the human polyomaviruses, BK virus and JC virus, is common in recipients of renal allografts. However, as increasingly potent immunosuppressive strategies have been adopted, BK-associated interstitial nephritis involving the allografted kidney has emerged as a significant cause of chronic allograft dysfunction, occurring in 2 to 5% of patients. The relative roles of primary infection, reinfection with a second strain, or reactivation of BKV in disease development is not known. Plasma DNAemia and urine viral load assays are promising tools that might be used to develop cost-effective algorithms to diagnose disease and to identify patients at high risk for developing BK nephropathy. The histopathology of BK infection in the kidney shares features with acute rejection. It is important to distinguish the two entities, because reducing immunosuppression may be the most appropriate management. Antiviral therapy is not yet available, although new agents such as cidofovir show promise. The disorder has a poor prognosis, with approximately 50% of allografts failing over subsequent months.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".