Adverse Fetal and Neonatal Outcomes following in-utero exposure to Oxcarbazepine: A Systematic Review and Meta-Analysis.
Bibliographic record
Abstract
Aim: This systematic review aims to assess the safety profile of oxcarbazepine during pregnancy. Methods: Observational studies that included women who took oxcarbazepine anytime during pregnancy were included in our systematic review. The review did not include non-English articles, reviews, meta-analyses, case reports, and animal studies. Different online sources such as MEDLINE, Cochrane library, Virtual Health library etc. were searched for published and unpublished literature. Assessment of risk of bias of observational studies was done using the Newcastle-Ottawa Scale. The meta-analyses were performed using a random-effect model. GRADE was used for the evaluation of the quality of evidence for the primary outcomes. Results: We included 19 cohort studies with a total number of 5,071,137 patients, of which 2,450 were exposed to oxcarbazepine either as monotherapy or polytherapy. The summary odds ratio (OR) was 1.69 (95% CI, 0.95-2.98) for congenital malformations following in-utero exposure to oxcarbazepine as compared to the control group of unexposed patients [seven studies (n=625)], and was 1.19 (95% CI, 0.67-2.12) when compared to those following lamotrigine (LTG) exposure during pregnancy [3 studies (n=591)]. In total, three studies (n=770) reported the association between in-utero oxcarbazepine exposure and fetal/perinatal deaths. The meta-analysis yielded a summary OR of 3.11 (95% CI, 0.57-16.97). Significance: Our systematic review will help healthcare providers and guideline developers regarding the treatment of epilepsy and other neurological disorders during pregnancy. More cohort studies with a higher sample size concerning oxcarbazepine use in pregnant patients are required to truly assess the in-utero safety profile of the drug.
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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 | 0.013 | 0.037 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.029 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".