The Prevalence, Clinicodemographics, and Outcomes of Incidental and Symptomatic Renal Cysts in a Pediatric Cohort Undergoing Ultrasonography
Bibliographic record
Abstract
PURPOSE: The growing availability of modern-day imaging has resulted in an increase in the number of renal cysts detected in the pediatric population. Few publications have reported outcomes of these childhood cysts. In this study we assessed the prevalence and evolution of renal cysts in children, and described clinical characteristics, mode of presentation and ultimate outcomes. MATERIALS AND METHODS: Our institutional ultrasound database was searched for all abdominal ultrasound reports from 2006 to 2017. These reports were then cross-referenced with a manual retrospective chart review. Clinical characteristics including mode of presentation, cyst characteristics, and outcomes were analyzed using descriptive and nonparametric statistical methods. RESULTS: Of 70,500 abdominal ultrasound scans during the study period 1,531 (2.2%) met the study inclusion criteria. Overall 26% of cysts were complex and 10.1% of cases were associated with hydronephrosis. Echogenic kidneys were more likely to be associated with simple cysts (p=0.0001). There was no difference between cyst diameter and symptomatology (p=0.82). The conversion of simple to complex renal cysts was less than 1% and 1.8% of complex cysts developed renal cell carcinoma. CONCLUSIONS: In a large cohort of children who underwent abdominal imaging we found a 10-year renal cyst prevalence of 2.2%. Given that nearly all cysts follow a benign course and that simple cysts will invariably grow within 2 years, we believe that these cases could be safely discharged after that point. We continue to recommend surveillance for patients with cysts larger than 15 mm, complex cysts, family history of adult polycystic kidney disease or those with concomitant genitourinary anomalies requiring ongoing followup.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".