Abnormal Renal Prostaglandin Production during the Evolution of Chronic Nephropathy
Bibliographic record
Abstract
To investigate the role of renal prostaglandins (PGs) in the evolution of kidney parenchymal disease, PGE2 and PGF2a excretion rates were measured in 62 subjects (22 control subjects, 24 patients with different forms of nephropathy and varying degrees of renal failure, and 16 patients with end-stage kidney disease on chronic hemodialysis). Patients with kidney disease and severe renal failure (inulin clearance less than 25 ml/min) showed significant decreases in urinary PGE2 and PGF2a (p less than 0.05 for both PGs), and the values were markedly diminished in patients with end-stage renal failure on chronic hemodialysis. Conversely, in patients with nephropathy and normal renal function, urinary PGE2 was slightly elevated compared to age- and sex-matched control subjects. A significant correlation (r = 0.74, p less than 0.01) was found between inulin clearance and PGF2a in the group of 24 patients with chronic renal failure, both not between PGE2 and inulin clearance. These results indicate that except for patients at the early stage of kidney disease the renal excretion of PGE2 and PGF2a appears greatly diminished in parenchymal renal lesion with severe renal failure and in end-stage kidney disease. The latter phenomenon may be the consequence of diminished functional renal mass.
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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 | 0.000 | 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 | 0.000 |
| 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 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".