The accuracy of renal point of care ultrasound to detect hydronephrosis in children with a urinary tract infection
Bibliographic record
Abstract
The objective of this study was to investigate the accuracy of renal point of care ultrasound (POCUS) for the detection of hydronephrosis in children with a urinary tract infection (UTI). We prospectively included all patients with a final diagnosis of UTI who visited our pediatric emergency department between November 2009 and April 2011. Emergency physicians were encouraged to perform a renal POCUS during these visits, and a follow-up renal ultrasonography was performed by a radiologist who was blinded to the results of POCUS. We calculated the accuracy of POCUS to detect hydronephrosis (renal pelvis enlargement ≥10 mm). We included 433 UTI visits, and 382 (88.2%) POCUS were performed. The sensitivity and the specificity were 76.5% (95% confidence interval: 58.1-94.6%) and 97.2% (95.2-99.2%), respectively. The positive and the negative predictive values were 59.1% (36.4-79.3%) and 98.8% (97.7-99.9%), respectively. Renal POCUS might be used to rule out hydronephrosis in pediatric UTI.
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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 | 0.002 | 0.002 |
| 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".