Perinatal outcome following fetal chest shunt insertion for pleural effusion
Bibliographic record
Abstract
OBJECTIVE: To evaluate perinatal outcome of fetuses with primary pleural effusions following pleuroamniotic shunting. METHODS: This was a retrospective study of 88 fetuses with large pleural effusions referred to a tertiary fetal medicine unit between 1991 and 2008 which, after a thorough work-up, underwent pleuroamniotic shunting. RESULTS: At presentation, 59 (67.0%) fetuses were hydropic and 67 (76.1%) had bilateral effusions. In 17 (19.3%) fetuses, pleural fluid was aspirated prior to shunting and in 71 (80.7%), shunts were inserted directly as the first procedure. Mean gestational age at shunting was 27.6 (range, 18-37) weeks and at delivery 34.2 (range, 19-42) weeks. Seventy-four (84.1%) babies were born alive, of whom 52 (70.3%) survived the neonatal period. Of 59 hydropic fetuses, 10 (16.9%) died @ in utero and 18 neonates (30.5%) died, resulting in perinatal survival of 52.5%, whereas of 29 non-hydropic fetuses, perinatal survival was 72.4%. Hydrops resolved following shunting in 28 fetuses, of whom 71% survived, compared to 35% survival in 31 fetuses where hydrops persisted (P = 0.006). Of 22 neonatal deaths, seven were related to pulmonary hypoplasia, five to genetic syndromes, two to aneuploidy and one to a congenital anomaly (truncus arteriosus). Overall 13 (14.8%) were diagnosed with a chromosomal, genetic or other condition, several of which could not have been diagnosed antenatally. CONCLUSION: Carefully selected fetuses with primary pleural effusions can benefit from pleuroamniotic shunting, allowing hydrops to resolve with a survival rate of almost 60%.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".