Prediction of Pediatric Outcome after Prenatal Diagnosis and Expectant Antenatal Management of Congenital Cystic Adenomatoid Malformation
Bibliographic record
Abstract
OBJECTIVE: To determine whether the congenital cystic adenomatoid malformation (CCAM) volume ratio (CVR) is associated with fetal and postnatal outcome after prenatal diagnosis and antenatal expectant management in a provincial tertiary referral center that does not offer fetal surgery. METHODS: Retrospective cohort of 71 consecutive cases of prenatally diagnosed CCAM meeting study criteria (1996-2004). CVR was calculated on the initial ultrasound at the referral center, and associated with hydrops (Fisher's exact test) and a composite adverse postnatal outcome consisting of death, intubation for respiratory distress, extracorporeal membrane oxygenation, non-elective surgery for symptomatology, or respiratory infection requiring hospital admission (Mann-Whitney test). RESULTS: A CVR > 1.6 was significantly associated with hydrops (p = 0.003). In addition, the CVR was significantly associated with the composite adverse postnatal outcome (p = 0.004) at a mean age of follow-up of 41 months (range < 1-117 months). For CVR and postnatal outcome, the area-under-the-curve receiver operating characteristic was 0.81 (95% CI 0.69-0.93, p = 0.006), and choosing a CVR cut-off of < 0.56, the negative predictive value was 100% (95% CI 0.85-1.00). CONCLUSION: In a provincial referral center with antenatal expectant management of CCAM, the CVR was associated with hydrops and postnatal outcome, with a CVR < 0.56 predictive of good prognosis after birth.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".