The Risk of Adverse Neonatal Outcomes With Maternal Inflammatory Bowel Disease: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
BACKGROUND: Patients with inflammatory bowel disease (IBD) may be at increased risk of adverse neonatal outcomes. The aim of this study was to determine pooled incidences and risk factors for these outcomes. METHODS: Medline, Embase, and Cochrane Library were searched through May 2019 for studies reporting adverse neonatal outcomes in IBD. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. RESULTS: The pooled incidence of preterm birth, low birth weight, congenital anomalies, and infants transferred to the neonatal intensive care unit was 8.6% (95% CI, 7.0%-10.1%), 8.9% (95% CI, 7.3%-10.5%), 2.1% (95% CI, 1.6%-2.6%), and 4.9% (95% CI, 2.9%-6.9), respectively. Compared with healthy controls, patients with IBD were more likely to deliver infants with low birth weight (<2500 grams; OR, 2.78; 95% CI, 1.16-6.66) and infants admitted to the intensive care unit (OR, 3.33; 95% CI, 1.83-6.05). Patients with Crohn's disease had an increased incidence of congenital anomalies (OR, 3.03; 95% CI, 1.43-6.42). Among IBD patients, active disease was associated with increased incidence of preterm birth (OR, 2.06; 95% CI, 1.21-3.51), low birth weight (OR, 2.96; 95% CI, 1.54-5.70), and small for gestational age (OR, 2.62; 95% CI, 1.18-5.83). Antitumor necrosis factor (anti-TNF) use during pregnancy was associated with an increased incidence of neonatal intensive care unit admission (OR, 2.42; 95% CI, 1.31-4.45) and low birth weight (OR, 1.54; 95% CI, 1.01-2.35). CONCLUSIONS: Patients with IBD, particularly with active disease or requiring anti-TNF therapy, may be at increased risk of developing adverse neonatal outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".