Prenatally detected, unilateral, high-grade hydronephrosis: Can we predict the natural history?
Bibliographic record
Abstract
INTRODUCTION: Fetal hydronephrosis (HN) occurs in approximately 5% of pregnancies and its prognosis depends mainly on the grade of the dilation. We attempted to determine the fate of isolated, unilateral, high-grade HN in children with antenatal diagnosis, emphasizing the risk factors for progression. METHODS: We retrospectively evaluated 424 children (690 kidney units) with antenatal HN in the period between 2010 and 2014. We included only those patients with isolated high-grade HN (Society for Fetal Urology [SFU] Grade 3 or 4). Patients with bilateral HN or unilateral HN associated with dilated ureter or reflux and patients with missed followup were excluded. The prognosis of HN (whether improved, stabilized, or progressed) and the need for surgical intervention in this subset of patients was evaluated. RESULTS: A total of 44 children (34 boys and 10 girls) were identified. Ultrasounds showed SFU Grade 3 HN in 24 (54%) and SFU Grade 4 HN in 20 (46%). After a mean followup of three years (range 1-5), 10 children (23%) needed surgical intervention; four Grade 3 HN (16%) and six Grade 4 HN (30%). The majority of children with differential renal function (DRF) ≥40% (69.5%) were stable or improved. Five girls (50%) and five boys (17%) progressed and required surgical intervention. No patient with a renal pelvis anteroposterior diameter (APD) <1.5 cm needed surgical intervention. CONCLUSIONS: Infants with isolated, unilateral, high-grade HN might be managed conservatively. Male gender, DRF ≥40%, SFU Grade 3 HN, and APD <1.5 cm were favourable prognostic factors.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".