Perinatal palliative care for family with prenatal diagnosis of <scp>Matthew‐Wood</scp> syndrome
Bibliographic record
Abstract
Matthew-Wood syndrome (MWS) is a rare autosomal recessive disorder caused by pathogenic variants of the STRA6 gene. Several studies in the available literature comprise patients with pathogenic variants of gene STRA6 with various phenotypic expressions: from lethal forms of MWS to non-lethal anophthalmia. These reports mainly describe new pathogenic variants and phenotypic expression but do not describe medical or paramedical care for the affected families. In our case report, we describe the second case of MWS in the same family and the benefits of including the patient's family in the perinatal palliative care program. The first pregnancy was terminated with a cesarean section; the boy was intubated in the delivery room and died soon after. The mother was not allowed to say farewell or keep any remembrances of her child. In the second pregnancy, the family was involved in the perinatal palliative care program, and all paramedical aspects, crucial from the parent's perspective, were planned and implemented. Palliative perinatal care enables complex care for the pregnant woman and her family. The possibility of palliative perinatal care is significant in decision-making in families with a high risk of lethal disease in subsequent pregnancies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".