Obstructive Uropathy: From Etiopathology to Therapy
Bibliographic record
Abstract
Obstructive uropathy is an important clinical entity that both urologists and nephrologist deal with. The aim of this study is to provide the available data up to date concerning the etiopathophysiology and the possible treatment options for this emergency situation. A literature search was performed for articles in English, published in journal indexed in Medline from 1970 to 2013, using as keywords: “obstructive uropathy”, “acute renal failure”, “hydronephrosis”, “unilateral renal obstruction” and “bilateral renal obstruction”. Patients suffering from obstructive uropathy may be unaware of their problems, especially if the onset is gradual. Obstructive uropathy is responsible for a wide range of metabolic and electrolytic abnormalities that may lead to renal failure especially if the obstruction is bilateral and/or if there was a preexisting degree of renal failure. The timeframe from the occlusion of the collecting system to the development of renal impairment is shorter than we initially thought. Hopefully, nowadays there are plenty of diagnostic workouts to help urologists and nephrologists to diagnose and plan the treatment of obstructive uropathy. Obstructive uropathy needs high clinical suspicion and urgent diagnostic and therapeutic workout. World J Nephrol Urol. 2014;3(1):1-6 doi: http://dx.doi.org/10.14740/wjnu154w
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".