Evidence map›Paper›PMID 35640440›Full record

SynthesisEuropean journal of obstetrics, gynecology, and reproductive biology2022

The impact of mitigation measures on perinatal outcomes during the first nine months of the COVID-19 pandemic: A systematic review with meta-analysis.

Sarah Hawco, Daniel L Rolnik, Andrea Woolner, Natalie J Cameron, Victoria Wyness, Ben W Mol, Mairead Black

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European journal of obstetrics, gynecology, and reproductive biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  7. Impact of COVID-19 Control Measures on Birth Outcomes in Ho Chi Minh City, Vietnam.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025
    Article
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Sarah HawcoAberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK. Electronic address: sarah.hawco@abdn.ac.uk.
Daniel L RolnikDepartment of Obstetrics and Gynaecology, Monash University, Clayton, VIC 3168, Australia.
Andrea WoolnerAberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Natalie J CameronSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Victoria WynessDepartment of Obstetrics and Gynaecology, NHS Grampian, UK.
Ben W MolDepartment of Obstetrics and Gynaecology, Monash University, Clayton, VIC 3168, Australia; Aberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Mairead BlackAberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
University of Aberdeen · GBMonash University · AUNHS Grampian · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide reports have produced conflicting data on perinatal outcomes during the COVID-19 pandemic. This systematic review and meta-analysis addressed the effect of mitigation measures against COVID-19 on preterm birth, stillbirth, low birth weight, and NICU admission during the first nine months of the pandemic. A search was performed using MEDLINE, Embase and SCOPUS for manuscripts published up until 24th May 2021. Studies that reported perinatal outcomes (preterm birth, stillbirth, low birth weight, NICU admission) during the COVID-19 pandemic with a pre-pandemic control period were included. Risk of bias assessment was performed using ROBINS-I tool. RevMan5 was used to perform meta-analysis with random-effects models. A score of the stringency of mitigation measures was calculated from the Oxford COVID-19 Government Response Tracker. Thirty-eight studies of moderate to serious risk of bias were included, with varied methodology, analysis and regional mitigation measures, using stringency index scores. There was no overall effect on preterm birth at less than 37 weeks (OR 0.96, 95% CI 0.92-1.00). However, there was a reduction in preterm birth at less than 37 weeks (OR 0.89, 95% CI 0.81-0.98) and 34 weeks (OR 0.56, 95% CI 0.37-0.83) for iatrogenic births and in singleton pregnancies. There was also a significant reduction in preterm births at less than 34 weeks in studies with above median stringency index scores (OR 0.71, 95% CI 0.58-0.88). There was no effect on risk of stillbirth (OR 1.04, 95% CI 0.90-1.19) or birth weight. NICU admission rates were significantly reduced in studies with above median stringency index scores (OR 0.87, 95% CI 0.78-0.97). The reduction in preterm births in regions with high mitigation measures against SARS-CoV-2 infection is likely driven by a reduction in iatrogenic births. Variability in study design and cohort characteristics need to be considered for future studies to allow further investigation of population level health measures of perinatal outcomes.

Indexed as

COVID-19Premature BirthFemaleHumansIatrogenic DiseaseInfant, NewbornPandemicsPregnancySARS-CoV-2StillbirthCOVID-19Mitigation measuresPerinatal outcomesPreterm birthSARS-CoV-2Stillbirth

Identifiers

PMID35640440
PMCPMC9106593
OpenAlexW4280543155

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.