Treatment and Outcomes of Congenital Ovarian Cysts A Study by the Canadian Consortium for Research in Pediatric Surgery (CanCORPS)
Bibliographic record
Abstract
OBJECTIVE: We conducted a multicenter study to assess treatments and outcomes in a national cohort of infants with congenital ovarian cysts. SUMMARY BACKGROUND DATA: Wide variability exists in the treatment of congenital ovarian cysts. The effects of various treatment strategies on outcomes, specifically ovarian preservation, are not known. METHODS: Female infants diagnosed with congenital intra-abdominal cysts between 2013 and 2017 at 10 Canadian pediatric surgical centers were retrospectively evaluated. Sonographic characteristics, median time to cyst resolution, incidence of ovarian preservation, and predictors of surgery were evaluated. Subgroup analyses were performed in patients with complex cysts and cysts ≥40 mm in diameter. RESULTS: The study population included 189 neonates. Median gestational age at diagnosis and median maximal prenatal cyst diameter were 33 weeks and 40 mm, respectively. Cysts resolved spontaneously in 117 patients (62%), 14 (7%) prenatally, and the remainder at a median age of 124 days. Intervention occurred in 61 patients (32%), including prenatal aspiration (2, 3%), ovary sparing resection (14, 23%), or oophorectomy (45, 74%). Surgery occurred at a median age of 7.4weeks. Independent predictors of surgery included postnatal cyst diameter ≥40 mm [odds ratio (OR) 6.19, 95% confidence interval (CI) 1.66-35.9] and sonographic complex cyst character (OR 63.6, 95% CI 10.9-1232). There was no significant difference in the odds of ovarian preservation (OR 3.06, 95% CI 0.86 -13.2) between patients who underwent early surgery (n = 22) and those initially observed for at least 3 months (n = 131). CONCLUSIONS: Most congenital ovarian cysts are asymptomatic and spontaneously resolve. Early surgical intervention does not increase ovarian preservation.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".