Outcome of the Prenatally Diagnosed Congenital Cystic Adenomatoid Lung Malformation: A Canadian Experience
Bibliographic record
Abstract
UNLABELLED: Congenital cystic adenomatoid malformation of the lung (CCAM) is diagnosed by prenatal ultrasonography with an increasing frequency but controversy persists as to its prognosis and prenatal management. METHOD: A multi-institutional study of cases of CCAM diagnosed antenatally identified by ultrasonographers and by a review of hospital charts. RESULTS: We obtained 48 cases from five centers. We estimate the incidence of CCAM at 1:25,000 to 1:35,000 pregnancies. The incidence of voluntary abortions was 15% (7/48), of spontaneous abortions 2% (1/41) and of postnatal death 10% (4/40). One of the postnatal deaths was from trisomy 18. Of the 7 aborted fetuses, 2 had multiple malformations and 1 had severe hydrops and oligohydramnios; the other 4 had a large mass with mediastinal displacement but without hydrops. When pregnancy was allowed to continue, 56% of the lesions regressed spontaneously, even though one third of these had initial progression. In 17 cases (42%) the mediastinal shift corrected itself, sometimes by simple growth of the fetus but most often by a decrease in the size of the lung mass. In 1 fetus, repeated needle decompressions followed by double-pigtail catheter drainage of large cysts allowed regression of hydrops. Despite this, neonatal death occurred from pulmonary hypoplasia. CONCLUSION: CCAM can lead to fetal or neonatal demise from hydrops, lung hypoplasia, prematurity or severe associated malformations, but has a good prognosis in the majority of cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".