Prenatal diagnosis and postnatal outcome of fetal spinal defects without Arnold–Chiari II malformation
Bibliographic record
Abstract
OBJECTIVE: To determine the prenatal evolution/natural history and postnatal outcome of fetuses diagnosed with a neural tube defect (NTD) lacking the Arnold-Chiari-II malformation (ACM II). MATERIAL AND METHODS: This retrospective study reviewed 16 fetuses evaluated with ultrasound (US) and MRI at a single referral center from 1/2000 to 8/2007. Follow-up studies and available postnatal outcomes were reviewed. RESULTS: Postpartum diagnosis was terminal myelocystoceles 7/16 (44%); myelomeningoceles (MMCs) 3/16 (19%); lipomyelomeningoceles 2/16(13%); and thoracic myelocystocele 1/16 (6%). Three patients (19%) were lost to follow-up or termination of pregnancy. Two prenatally diagnosed 'closed' NTD were postnatally found to be MMCs. Three of the myelocystoceles had additional omphalocele, bladder extrophy, imperforate anus and spinal defect (OEIS complex). For the total cohort, impaired lower extremity function was seen in 38%, impaired bladder function in 64%, and ventriculoperitoneal shunting in 8%. Four fetuses with a myelocystocele developed hindbrain herniation in the third trimester of pregnancy. The preterm delivery rate was 38%. Five of eight (63%) neonates with postnatally diagnosed myelocystoceles had mothers with a body mass index over 30. CONCLUSION: Prenatal differentiation between closed and open NTD is not always possible. Postnatal outcome of isolated myelocystocele and MMC seems to be more favorable than for an NTD with ACM II (shunt requirement). Incontinence is the major childhood morbidity. Maternal obesity may be a risk factor for closed NTDs.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".