ArticleBMC pregnancy and childbirth2025
The landscape of pregnancy and prepregnancy cohorts: a scoping review.
Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes.Journal of global health · 2026Article
- The landscape of pregnancy and prepregnancy cohorts: a scoping review.BMC pregnancy and childbirth · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent research in life course epidemiology has demonstrated the importance of evaluating how prepregnancy and pregnancy exposures affect later life developmental outcomes. In this scoping review, we identified and described completed or ongoing pregnancy and prepregnancy cohorts to assess gaps in the maternal exposures and child outcomes measured in these initiatives and inform future research investments.
methodsWe developed a systematic search that included text and MeSH terms and was tailored for four biomedical citation databases. We applied the Arskey and O'Malley scoping review methodology. We selected a scoping review methodology to provide a comprehensive overview of pregnancy and prepregnancy cohorts and their characteristics. Two reviewers independently conducted the title, abstract, full-text screening, and data charting; a third reviewer resolved discrepancies. The results were summarised in narrative form.
resultsWe reviewed 147 manuscripts that presented findings from 56 pregnancy and two prepregnancy cohorts, 23 of which were ongoing. Half of the pregnancy cohorts were based in Europe. The most commonly described maternal exposures were nutrition, anthropometric measures, non-communicable diseases (NCDs), and demographic factors. Children's mental, behavioural, neurodevelopmental, and physical outcomes were the most commonly measured outcomes. Fewer studies evaluated infectious disease, biomarkers, and environmental or workplace exposures. No cohorts examined vaccine or climate-related exposures during pregnancy. About half of the cohorts collected samples from pregnant women or the fetus, and a third from children, with blood being the most common sample type. Most studies did not indicate how data or samples could be accessed.
conclusionsThis comprehensive overview of pregnancy and prepregnancy cohorts provides a foundation for cross-cohort coordination. Infectious disease, vaccine, environmental, and climate-related exposures and microbiome, immune function, and economic outcomes remain underrepresented in pregnancy and prepregnancy cohorts. ETHICS AND DISSEMINATION: This scoping review summarises findings from existing publications in peer-reviewed journals and did not require ethics review.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.