Stenosis of the glomerulotubular neck in progressive chronic kidney disease
Bibliographic record
Abstract
BACKGROUND: Morphology and morphometric evaluation of lesions beyond conventional parameters can inform the pathophysiology of chronic kidney disease (CKD). We sought to determine whether the occurrence of glomerulotubular neck stenoses associates with progressive CKD. METHODS: We evaluated the normal parenchyma from radical nephrectomies removed for tumor between 2000 and 2021 and analyzed cortex for stenoses of the glomerulotubular neck. Stenosis of the glomerulotubular neck is defined a focal narrowing for which the draining tubule has a greater diameter than at the neck. Progressive CKD was defined as dialysis, kidney transplantation, sustained estimated glomerular filtration rate (eGFR) <10 mL/min/1.73 m2 or sustained 40% decline from the post-nephrectomy eGFR. Each case of progressive CKD was age- and sex-matched to two controls without progressive CKD. Logistic regression models assessed the risk of progressive CKD with stenotic necks adjusting for other histological features, kidney function and CKD risk factors. RESULTS: There were 65 cases with a mean of 255 glomeruli and 130 controls with a mean of 329 glomeruli. Among both cases and controls, 5% of glomeruli showed visible glomerulotubular necks. The proportion of necks that were stenotic was higher in cases than controls (35% vs 11%, P < .0001). Stenotic necks associated with progressive CKD independent of other histologic and clinical characteristics. CONCLUSION: Glomerulotubular neck stenosis is associated with development of progressive CKD.
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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".