Nonisolated diaphragmatic hernia in Simpson‐Golabi‐Behmel syndrome
Bibliographic record
Abstract
OBJECTIVE: Congenital diaphragmatic hernia (CDH) is associated with Simpson-Golabi-Behmel syndrome (SGBS), but few cases diagnosed prenatally have been reported. The aim of this series is to highlight the association of nonisolated CDH with SGBS type I on prenatal ultrasound and emphasize the importance of genetic testing, fetal autopsy, and family history in confirming this diagnosis. METHOD: Retrospective review of 3 cases of SGBS type I in a single tertiary care centre. Family history, fetal ultrasound, autopsy findings, and genetic testing for GPC3 was performed for each case. RESULTS: Fetal ultrasound findings in the second trimester were CDH, omphalocele, increased nuchal fold, renal anomaly, and cleft lip and palate. Fetal autopsy confirmed the prenatal ultrasound findings and also showed dysmorphic facial features and premalignant lesions on renal and gonadal histology. Microarray and DNA analysis of the GPC3 gene confirmed the diagnosis of SGBS type I in each case. CONCLUSION: Nonisolated CDH in a male fetus suggests a diagnosis of SGBS type I. Fetal autopsy, pedigree analysis, and genetic testing for GPC3 are all essential to confirming the diagnosis. The histological findings of ovotestes and nephroblastomatosis indicate that cancer predisposition is established early in fetal life.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".