Evidence map›Paper›PMID 37564827›Full record

ArticleBMJ medicine2023

Vaccine effectiveness for prevention of covid-19 related hospital admission during pregnancy in England during the alpha and delta variant dominant periods of the SARS-CoV-2 pandemic: population based cohort study.

Matthew L Bosworth, Ryan Schofield, Daniel Ayoubkhani, Loes Charlton, Vahé Nafilyan, Kamlesh Khunti, Francesco Zaccardi, Clare Gillies, Ashley Akbari, Marian Knight and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. "Deeds not words": the forgotten class.Journal of human hypertension · 2024
    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

14 authors at 7 institutions in 2 countries.

Matthew L BosworthOffice for National Statistics, Newport, UK.ORCID 0000-0003-1391-7515
Ryan SchofieldOffice for National Statistics, Newport, UK.
Daniel AyoubkhaniOffice for National Statistics, Newport, UK.
Loes CharltonOffice for National Statistics, Newport, UK.
Vahé NafilyanOffice for National Statistics, Newport, UK.
Kamlesh KhuntiReal World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
Francesco ZaccardiReal World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
Clare GilliesReal World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Swansea University, Swansea, UK.ORCID 0000-0003-0814-0801
Marian KnightNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-1984-4575
Rachael WoodPublic Health Scotland, Edinburgh, UK.ORCID 0000-0003-4453-623X
Pia HardelidNIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, London, UK.ORCID 0000-0002-0154-1306
Luisa ZuccoloHealth Data Science Centre, Fondazione Human Technopole, Milan, Italy.
Camille HarrisonOffice for National Statistics, Newport, UK.
Office for National Statistics · GBUniversity of Leicester · GBGreat Ormond Street Hospital · GBPublic Health Scotland · GBSwansea University · GBUniversity of Bristol · GBUniversity of Oxford · GB

Funding

Medical Research Council MC_PC_20058
6 · The paper itself

Abstract

Objective: To estimate vaccine effectiveness for preventing covid-19 related hospital admission in individuals first infected with the SARS-CoV-2 virus during pregnancy compared with those of reproductive age who were not pregnant when first infected with the virus. Design: Population based cohort study. Setting: Office for National Statistics Public Health Data Asset linked dataset, providing national linked census and administrative data in England, 8 December 2020 to 31 August 2021. Participants: 815 477 females aged 18-45 years (mean age 30.4 years) who had documented evidence of a first SARS-CoV-2 infection in the NHS Test and Trace or Hospital Episode Statistics data. Main outcome measures: Hospital admission where covid-19 was recorded as the primary diagnosis. Cox proportional hazards models, adjusted for calendar time of infection, sociodemographic factors, and pre-existing health conditions related to uptake of the covid-19 vaccine and risk of severe covid-19 outcomes, were used to estimate vaccine effectiveness as the complement of the hazard ratio for hospital admission for covid-19. Results: Compared with pregnant individuals who were not vaccinated, the adjusted rate of hospital admission for covid-19 was 77% (95% confidence interval 70% to 82%) lower for pregnant individuals who had received one dose and 83% (76% to 89%) lower for those who had received two doses of vaccine. These estimates were similar to those found in the non-pregnant group: 79% (77% to 81%) for one dose and 83% (82% to 85%) for two doses of vaccine. Among those who were vaccinated >90 days before infection, having two doses of vaccine was associated with a greater reduction in risk than one dose. Conclusions: Covid-19 vaccination was associated with reduced rates of hospital admission in pregnant individuals infected with the SARS-CoV-2 virus, and the reduction in risk was similar to that in non-pregnant individuals. Waning of vaccine effectiveness occurred more quickly after one than after two doses of vaccine.

Indexed as

COVID-19EpidemiologyPublic health

Identifiers

PMID37564827
PMCPMC10410807
OpenAlexW4383874490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.