A123 PERINATAL FACTORS AND RISK OF INFLAMMATORY BOWEL DISEASE IN THE OFFSPRING: A SYSTEMATIC REVIEW AND META-ANALYSIS
Bibliographic record
Abstract
BACKGROUND: It has been hypothesized that exposure to environmental factors during critical windows of immune maturation may interfere with the immune system development and influence the subsequent risk for inflammatory bowel disease (IBD). AIMS: To summarize the available data of the literature and perform a meta-analysis regarding the association between perinatal factors and the subsequent risk for Crohn’s disease (CD) or ulcerative colitis (UC) in the offspring. METHODS: We systematically searched the following electronic databases: Embase, PubMed, Medline, EBM Reviews to identify observational studies on the association between perinatal factors and IBD in the offspring up to April 2017. A meta-analysis was performed using RevMan 5 to obtain a combined effect measure and the 95% CI with random effects models. Pooled adjusted odds ratios (OR) with 95% confident intervals were calculated by combining the inverse of their variance for each factor. RESULTS: Twelve studies (5 cohort studies and 7 case-control studies) were identified out of 1852 studies reviewed. Maternal diabetes during pregnancy was associated with an increased risk for CD [OR(95% CI): 1.67 (1.18–2.36)] but not UC. Maternal age >35 years was associated with an increased risk for CD [1.65 (1.02–2.66)] but a decrease risk for UC [0.92 (0.86–0.98)]. The following perinatal factors were not associated with the risk for IBD: maternal infection, pre-eclampsia, birth weight, preterm, and low APGAR score. (See Table 1.) CONCLUSIONS: This meta-analysis suggests opposite associations between advanced maternal age and risk for CD or UC. In addition, diabetes during pregnancy appears to be associated with an increased risk for CD in the offspring. FUNDING AGENCIES: None
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.031 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".