Understanding gastroschisis and its clinical management: where are we?
Bibliographic record
Abstract
INTRODUCTION: Gastroschisis is the commonest developmental defect of the anterior abdominal wall in both developed and developing countries. The past 30 years have seen transformational improvements in outcome due to advances in neonatal intensive care and enhanced integration between the disciplines of maternal fetal medicine, neonatology and pediatric surgery. A review of gastroschisis, which emphasizes its epidemiology, multidisciplinary care strategies and contemporary outcomes is timely. Areas covered: This review discusses the current state of knowledge related to prevalence and causation, and postulated embryopathologic mechanisms contributing to the development of gastroschisis. Using relevant, current literature with an emphasis on high level evidence where it exists, we review modern techniques of prenatal diagnosis, pre and postnatal risk stratification, preferred timing and method of delivery, options for abdominal wall closure, nutritional management, and short and long term clinical and neurodevelopmental follow-up. Expert commentary: This section explores controversies in contemporary management which contribute to practice and cost variation and discusses the benefits of novel nutritional therapies and care standardization that target unnecessary practice variation and improve overall cost-effectiveness of gastroschisis care. The commentary concludes with a review of fertile areas of gastroschisis research, which represent opportunities for knowledge synthesis and further outcome improvement.
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".