Pregnancy and Delivery Outcomes Following Benzodiazepine Exposure: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
OBJECTIVE: Understanding the effects of benzodiazepines (BZDs) on maternal/fetal health remains incomplete despite their frequent use. This article quantifies the effects of antenatal BZD exposure on delivery outcomes. DATA SOURCES: Medline, PsycINFO, CINAHL, Embase, and the Cochrane Library were searched till June 30, 2018. STUDY SELECTION: English-language cohort studies comparing antenatal BZD exposure to an unexposed group on any delivery outcome were eligible. In all, 23,909 records were screened, 56 studies were assessed, and 14 studies were included. DATA EXTRACTION: Two reviewers independently assessed quality and extracted data. Estimates were pooled using random effects meta-analysis. Sub-analyses examined several potential moderators including timing of exposure. RESULTS: There were 9 outcomes with sufficient data for meta-analysis. Antenatal BZD exposure was significantly associated with increased risk of 6 outcomes initially: spontaneous abortion (pooled odds ratio = 1.86; 95% confidence interval [CI], 1.43 to 2.42), preterm birth (1.96; 95% CI, 1.25 to 3.08), low birth weight (2.24; 95% CI, 1.41 to 3.88), low Apgar score (2.19; 95% CI, 1.94 to 2.47), Neonatal Intensive Care Unit (NICU) admission (2.61; 95% CI, 1.64 to 4.14), and induced abortion (2.04; 95% CI, 1.23 to 3.40). There was significant heterogeneity between studies for most outcomes without consistent moderators. Birth weight (mean difference [MD]: -151.35 g; 95% CI, -329.73 to 27.03), gestational age (-0.49 weeks; 95% CI, -1.18 to 0.19), and small for gestational age (SGA; 1.42; 95% CI, 1.00 to 2.01) did not show significant associations although after adjusting for publication bias, gestational age, and SGA became significant, totaling 8 significant outcomes. CONCLUSIONS: Antenatal BZD exposure appears to be statistically associated with increased risk of several adverse perinatal outcomes. Although confounds cannot be ruled out, NICU admission does appear clinically relevant and consistent with the antidepressant literature.
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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 | 0.036 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.037 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".