X-Linked dominant chondrodysplasia punctata: prenatal diagnosis and autopsy findings
Bibliographic record
Abstract
OBJECTIVE: To report our experience of the prenatal diagnosis of X-linked dominant chondrodysplasia punctata (CDPX2) and highlight its variable phenotypic presentation. METHODS: We report the sonographic features of three female fetuses affected with CDPX2. The ultrasound, radiographic and pathological findings were compared. RESULTS: Family 1: Two affected pregnancies, both terminated. Fetus 1: Presented with epiphyseal stippling involving the vertebrae, upper and lower limbs, asymmetric shortening of the long bones and flat facial profile. Fetus 2: Prenatal findings included premature epiphyseal stippling, paravertebral cartilaginous calcific foci, mild shortening of the long bones and flat facies. Mutation analysis of the mother and both fetuses revealed mutation in the emopamil-binding protein (EBP) gene. Family 2: Prenatal sonography showed scattered epiphyseal stippling, minimal vertebral segmentation anomalies, mild asymmetric limb shortening and flat facies. Female infant delivered at 39 weeks of gestation. Biochemical analysis in all three fetuses showed increased levels of serum 8(9)-cholestenol consistent with delta (8), delta (7)-isomerase deficiency and CDPX2. CONCLUSION: Prenatal diagnosis of CDPX2 is difficult because of marked phenotypic variation. Epiphyseal stippling, ectopic paravertebral calcifications, asymmetric shortening of long bones and dysmorphic flattened facies are crucial for prenatal diagnosis. DNA analysis of the CDPX2 gene and biochemical determination of the serum 8(9)-cholestenol level are important for diagnosis, especially if future pregnancies are planned.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".