The DOI matches its Crossref record.
The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis
Open accessAbstract
BACKGROUND: The impact of coronavirus disease 2019 (COVID-19) on maternal and newborn health is unclear. We aimed to evaluate the association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during pregnancy and adverse pregnancy outcomes. METHODS: We conducted a systematic review and meta-analysis of observational studies with comparison data on SARS-CoV-2 infection and severity of COVID-19 during pregnancy. We searched for eligible studies in MEDLINE, Embase, ClinicalTrials.gov, medRxiv and Cochrane databases up to Jan. 29, 2021, using Medical Subject Headings terms and keywords for "severe acute respiratory syndrome coronavirus 2 OR SARS-CoV-2 OR coronavirus disease 2019 OR COVID-19" AND "pregnancy." We evaluated the methodologic quality of all included studies using the Newcastle-Ottawa Scale. Our primary outcomes were preeclampsia and preterm birth. Secondary outcomes included stillbirth, gestational diabetes and other pregnancy outcomes. We calculated summary odds ratios (ORs) or weighted mean differences with 95% confidence intervals (CI) using random-effects meta-analysis. RESULTS: We included 42 studies involving 438 548 people who were pregnant. Compared with no SARS-CoV-2 infection in pregnancy, COVID-19 was associated with preeclampsia (OR 1.33, 95% CI 1.03 to 1.73), preterm birth (OR 1.82, 95% CI 1.38 to 2.39) and stillbirth (OR 2.11, 95% CI 1.14 to 3.90). Compared with mild COVID-19, severe COVID-19 was strongly associated with preeclampsia (OR 4.16, 95% CI 1.55 to 11.15), preterm birth (OR 4.29, 95% CI 2.41 to 7.63), gestational diabetes (OR 1.99, 95% CI 1.09 to 3.64) and low birth weight (OR 1.89, 95% CI 1.14 to 3.12). INTERPRETATION: COVID-19 may be associated with increased risks of preeclampsia, preterm birth and other adverse pregnancy outcomes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
An update on COVID-19 and pregnancy
Jamieson, D. J., & Rasmussen, S. A. (2022) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.08.054 · Cited by 466
Effectiveness of the BNT162b2 mRNA COVID-19 vaccine in pregnancy
Dagan, N., Barda, N., Biron-Shental, T., Makov-Assif, M., Key, C., Kohane, I. S., Hernán, M. A., Lipsitch, M., Hernandez-Diaz, S., Reis, B. Y., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01490-8 · Cited by 312
Diamond-Smith, N. G., Sharma, P., Duggal, M., Gill, N., Gupta, J., Kumar, V., Kaur, J., Singh, P., Vosburg, K. B., & El Ayadi, A. M. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0001321 · Cited by 7
Carrión-Nessi, F. S., Castro, M. P., Freitas-De Nobrega, D. C., Moncada-Ortega, A., Omaña-Ávila, Ó. D., Mendoza-Millán, D. L., Marcano-Rojas, M. V., Trejo, N. J., Virriel, I. V., Chavero, M., et al. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-022-05253-2 · Cited by 5
Metadata
- Authors
- Wei, S. Q., Bilodeau-Bertrand, M., Liu, S., & Auger, N.
- Venue
- Canadian Medical Association Journal
- Publisher
- CMA Impact Inc.
- Published
- 2021-03-19
- Volume
- 193
- Issue
- 16
- Pages
- E540-E548
- ISSN
- 0820-3946 (ISSN-L)
- 1488-2329
- OpenAlex
- W3138907726
- Cited by
- 911
- References
- 0
- FWCI
- 47.02
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis. https://app.cochat.ai/papers/10.1503/cmaj.202604
- The paper
- Wei, S. Q., Bilodeau-Bertrand, M., Liu, S., & Auger, N. (2021). The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis. Canadian Medical Association Journal. https://doi.org/10.1503/cmaj.202604
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.