Incidence and Prognostic Importance of Glomerular Crescents in Renal Diseases of Childhood
Bibliographic record
Abstract
The renal biopsies of 372 children with various glomerular disorders were reviewed and crescent formation was seen in 56 cases (15%). Four disorders, i.e. systemic lupus erythematosus, membranoproliferative glomerulonephritis (MPGN) types I and II and Henoch-Schönlein disease accounted for 74% of 10 diagnostic categories. Idiopathic rapidly progressive glomerulonephritis (RPGN) was seen in only 2 cases. Crescents associated with MPGN types I or II or idiopathic RPGN had a bad renal prognosis, whereas the presence of crescents in other disorders did not necessarily affect the renal outcome. Immunofluorescent and electron microscopic findings are essential to distinguish many conditions which may be associated with crescent formation in childhood renal disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".