The association between prenatal cannabis use and congenital birth defects in offspring: A systematic review and meta-analysis
Bibliographic record
Abstract
Introduction A body of research has examined the association between prenatal cannabis use and congenital birth defects in offspring; however, these studies have not been synthesised. We performed a comprehensive synthesis of existing research to test whether there is an association between prenatal cannabis use and congenital birth defects in exposed offspring. Objectives The aim of this study was to conduct a comprehensive systematic review and meta-analysis of existing evidence to synthesise the association between prenatal cannabis use and congenital birth defects in exposed offspring. Methods In line with the preregistered protocol (PROSPERO: CRD42022368623), we systematically searched PubMed/Medline, CINHAL, EMBASE, Web of Science, ProQuest, Psych-Info, and Google Scholar for published articles until 4 April 2023. The methodological quality of the included studies was appraised by the Newcastle-Ottawa Quality Assessment Scale (NOS). A meta-analysis was carried out to report the pooled effect estimates from the included studies. We further performed subgroup, leave-one-out sensitivity, and meta-regression analyses, which increased the robustness of our findings. Results Thirty observational studies (i.e., fifteen case-control and fifteen cohort studies) with 229,930 cases of birth defects and 26,826,741 controls (healthy babies) were included in the final analysis. We found that offspring exposed to maternal prenatal cannabis had a 56%, 69%, 47%, 23%, and 13% increased risk of any birth defects (irrespective of specific body system) [RR = 1.56: 95 % CI 1.28 – 1.92], defects of the gastrointestinal [RR = 1.69: 95 % CI 1.37 – 2.09], cardiovascular/heart [RR = 1.47: 95 % CI 1.09 – 1.97], central nervous systems [RR = 1.43: 95 % CI 1.09 – 1.89], and facial/oral cleft [RR = 1.13: 95 % CI 1.08 – 1.18], respectively. Conclusions The findings from the current study suggest that maternal prenatal cannabis exposure is associated with a higher risk of birth defects in offspring. The findings highlight the importance of promotive and preventive strategies to reduce cannabis use during pregnancy that contribute to minimising the risk of birth defects in offspring. Disclosure of Interest None Declared
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".