First recurrence of focal segmental glomerulosclerosis in a third renal allograft
Bibliographic record
Abstract
Transplantation is a mode of therapy for end‐stage renal disease (ESRD) due to focal segmental glomerulosclerosis (FSGS) [1,2]; however, FSGS may recur in transplanted kidneys [1,2]. It is believed that without recurrence of FSGS in the primary renal allograft, subsequent allografts will be free of recurrent disease. We describe the case of a 20‐year‐old man who received his third renal allograft for end‐stage renal disease due to FSGS, that was complicated by primary non‐function and proteinuria due to probable first recurrent FSGS. A 13‐month‐old white male with FSGS failed cyclophosphamide therapy and progressed to ESRD by 4.5 years of age. He received his first cadaveric renal allograft 6 months later, with good initial function. He experienced three episodes of acute rejection (Table 1) that responded to steroid therapy. There was neither proteinuria nor evidence for recurrent FSGS in any biopsy specimen. Chronic allograft nephropathy (CAN) was first demonstrated on biopsy 2 years after transplantation and he underwent transplant nephrectomy a year afterwards.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".