Shprintzen (Velo-Cardio-Facial) Syndrome: A Rare Case
Bibliographic record
Abstract
Shprintzen syndrome (velo-cardio-facial, VCFS) is a very rare morbid entity, seen in either familial or sporadic forms, with major clinical findings such as facial dysmorphism, cleft palate, cardiovascular (especially conotruncal-anomalies), mild/moderate mental retardation, or, more commonly, observed learning difficulty. Tendency to behavioral disorders and bipolar schizophrenic diseases may be present in these cases. Autosomal dominant inheritance has been reported. VCFS appears as a consequence of microdeletion in the 22q11 chromosomal band. Although each syndrome has different clinical reflections, genetically the defect is located on the same chromosome.A 4-year-old boy was admitted to our clinic with a syndromic face and the diagnosis of tetralogy of Fallot. The patient underwent total correction of the cardiac defect. Atypical facial appearance, cleft palate, and malformed hand-fingers were present. With the aid of pediatric and genetic consultation (fluorescence in situ hybridization test), Shprintzen syndrome was confirmed. Both early and late postoperative periods of the patient were uneventful. The patient was closely consulted by a specialist psychologist during and after the hospitalization period. These children can be integrated into social life earlier through early surgical intervention for cardiac defects and facial deformations as well as neurologic and/or neuropsychiatric evaluation.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".