A validated model of disease progression in IgA nephropathy
Bibliographic record
Abstract
BACKGROUND: IgA nephropathy (IgAN) is the most common primary glomerulonephritis in the general population. There is accumulating evidence that immunosuppressive treatment is efficacious in IgAN. However, it is critical to define appropriate indicators for this therapy especially in the wake of potentially deleterious side effects to immunosuppressives. METHODS: This study retrospectively reviewed IgAN cases collected since 1981 to identify clinical and/or histological parameters for disease progression; 310 patients with biopsy proven IgAN, diagnosed from January 1981 to March 2004, were included. RESULTS: We defined a clinical prognostic index (CPI) using multivariate analysis, which incorporated these clinical/ histological parameters. Semiquantitative scores were assigned as follows: 2 points if creatinine (Cr) was >1.4 mg/dL, 1 point if proteinuria was >1 g/24 hr, 1 point if a patient was affected by hypertension, and 1 point if a patient was older than 30 yrs. Dividing our population into two groups (scores 0-2 = low CPI group; scores 3-5 = high CPI group), we demonstrated a significantly different 10-yr renal survival rate; in the low CPI group, renal survival since time of biopsy at 10 yrs was 91.7%; in the high CPI group the renal survival at 10 yrs was 35%. We validated the CPI in an independent sample from Verona (validation group) and demonstrated similar results for the CPI. CONCLUSIONS: The CPI is convenient to use for defining the risk of disease progression.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".