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Record W2752616940 · doi:10.1002/uog.16002

Outcome of fetal ovarian cysts diagnosed on prenatal ultrasound examination: systematic review and meta‐analysis

2016· review· en· W2752616940 on OpenAlexaboutno aff
F. Bascietto, M. Liberati, L. Marrone, A. Khalil, G. Pagani, Sarah Gustapane, Martina Leombroni, Danilo Buca, Maria Elena Flacco, Giuseppe Rizzo, Ganesh Acharya, Lamberto Manzoli, F. D’Antonio

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2016
Typereview
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCystOvarian cystOdds ratioObstetricsMeta-analysisUltrasoundOvarian torsionPregnancyPrenatal diagnosisGynecologyFetusRadiologyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the outcome of fetuses with a prenatal diagnosis of ovarian cyst. METHODS: The electronic databases MEDLINE and EMBASE were searched using keywords and word variants for 'ovarian cysts', 'ultrasound' and 'outcome'. The following outcomes in fetuses with a prenatal diagnosis of ovarian cyst were explored: resolution of the cyst, change of ultrasound pattern of the cyst, occurrence of ovarian torsion and intracystic hemorrhage, need for postnatal surgery, need for oophorectomy, accuracy of prenatal ultrasound examination in correctly identifying ovarian cyst, type of ovarian cyst at histopathological analysis and intrauterine treatment. Meta-analyses using individual data random-effects logistic regression and meta-analyses of proportions were performed. Quality assessment of the included studies was performed using the Newcastle-Ottawa Scale. RESULTS: Thirty-four studies (954 fetuses) were included. In 53.8% (95% CI, 46.0-61.5%) of cases for which resolution of the cyst was evaluated (784 fetuses), the cyst regressed either during pregnancy or after birth. The likelihood of resolution was significantly lower in complex vs simple cysts (odds ratio (OR), 0.15 (95% CI, 0.10-0.23)) and in cysts measuring ≥ 40 mm vs < 40 mm (OR, 0.03 (95% CI, 0.01-0.06)). Change in ultrasound pattern of the cyst was associated with an increased risk of ovarian loss (surgical removal or autoamputation) (pooled proportion, 57.7% (95% CI, 42.9-71.8%)). The risk of ovarian torsion was significantly higher for cysts measuring ≥ 40 mm compared with < 40 mm (OR, 30.8 (95% CI, 8.6-110.0)). The likelihood of having postnatal surgery was higher in patients with cysts ≥ 40 mm compared with < 40 mm (OR, 64.4 (95% CI, 23.6-175.0)) and in complex compared with simple cysts, irrespective of cyst size (OR, 14.6 (95% CI, 8.5-24.8)). In cases undergoing prenatal aspiration of the cyst, rate of recurrence was 37.9% (95% CI, 14.8-64.3%), ovarian torsion and intracystic hemorrhage were diagnosed after birth in 10.8% (95% CI, 4.4-19.7%) and 12.8% (95% CI, 3.8-26.0%), respectively, and 21.8% (95% CI, 0.9-40.0%) had surgery after birth. CONCLUSION: Size and ultrasound appearance are the major determinants of perinatal outcome in fetuses with ovarian cysts. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.023
Bibliometrics0.0050.006
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.048
GPT teacher head0.336
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations105
Published2016
Admission routes1
Has abstractyes

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