Antenatal hydronephrosis: an updated review on postnatal care and management
Bibliographic record
Abstract
PURPOSE OF REVIEW: Antenatal hydronephrosis is the most common prenatally detected fetal anomaly and represents a spectrum of diseases from benign and self-limiting to significant uropathies. This review aims to provide an updated overview of antenatal hydronephrosis, organized by etiology, outlining epidemiology, diagnostic approach, and clinical implications of common and uncommon causes of hydronephrosis. We also explore management strategies, long-term kidney outcomes, and emerging research areas. RECENT FINDINGS: Novel research has focused on machine learning models to interpret imaging and predict the natural history of hydronephrosis and urinary tract dilation. Further studies aim to individualize care, reduce the use of antibiotic prophylaxis, and minimize the use of invasive imaging studies. SUMMARY: Categorizing and risk-stratifying the underlying etiology of antenatal hydronephrosis is important to understand the need for further work-up, select appropriate treatment options, and predict outcomes for patients affected by this broad spectrum of disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".