Determinants of Long-Term Graft Outcome in Transplant Glomerulopathy
Bibliographic record
Abstract
BACKGROUND: Transplant glomerulopathy (TG) is a renal allograft disease defined by glomerular basement membrane duplication with peritubular capillary basement membrane multilayering (PTCML), and associated with anti-human leukocyte antigen antibodies and C4d. Outcome in TG is poor but variable, and prognostic factors, particularly those affecting long-term outcome, are not well known. We investigated several potentially prognostic clinical and pathologic factors in TG and evaluated estimated glomerular filtration rate (eGFR) slopes to assess graft function and early decline. METHODS: We examined all cases of TG from 2001 to 2005 with at least 4-year follow-up after biopsy, excluding those with a second confounding diagnosis. RESULTS: Among 36 cases of pure TG, mean graft age at biopsy was 8.8±6 years. C4d stain was positive in 11 (33%) cases. Clinical characteristics at biopsy were not different based on C4d. C4d was associated with greater PTCML (P=0.03), peritubular capillaritis (P=0.04), and glomerulitis (P=0.03). Death-censored graft survival was significantly associated with interstitial fibrosis (P=0.001), PTCML (P=0.001), and arteriolar hyalinosis (P=0.007), and it showed a trend with proteinuria (P=0.07) and C4d positivity (P=0.08). C4d-positive cases also showed a trend toward rapid graft loss. Analysis of eGFR slopes showed a pattern of preserved, slightly negative slope from transplant until approximately 1 year before biopsy, at which point the slope became significantly more negative (P<0.001). CONCLUSION: Interstitial fibrosis, PTCML, and arteriolar hyalinosis were significant predictors of graft survival in TG. C4d positivity was associated with a more rapid rate of function decline. eGFR slope data showed significant deterioration in graft function well before the diagnostic biopsy.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".