Evidence map›Paper›PMID 36366506›Full record

ArticleViruses2022

Estimating the Effectiveness of Shielding during Pregnancy against SARS-CoV-2 in New York City during the First Year of the COVID-19 Pandemic.

Siyu Chen, Elisabeth A Murphy, Angeline G Pendergrass, Ashley C Sukhu, Dorothy Eng, Magdalena Jurkiewicz, Iman Mohammed, Sophie Rand, Lisa J White, Nathaniel Hupert and 1 more

Abstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Siyu ChenBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3QD, UK.ORCID 0000-0001-9418-2527
Elisabeth A MurphyDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Angeline G PendergrassDepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0003-2542-1461
Ashley C SukhuNew York Presbyterian-Weill Cornell Medicine, New York, NY 10065, USA.
Dorothy EngNew York Presbyterian-Weill Cornell Medicine, New York, NY 10065, USA.
Magdalena JurkiewiczNew York Presbyterian-Weill Cornell Medicine, New York, NY 10065, USA.
Iman MohammedDepartment of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY 10065, USA.
Sophie RandDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Lisa J WhiteBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3QD, UK.
Nathaniel HupertBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3QD, UK.
Yawei J YangDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-9812-7960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnant patients have increased morbidity and mortality in the setting of SARS-CoV-2 infection. The exposure of pregnant patients in New York City to SARS-CoV-2 is not well understood due to early lack of access to testing and the presence of asymptomatic COVID-19 infections. Before the availability of vaccinations, preventative (shielding) measures, including but not limited to wearing a mask and quarantining at home to limit contact, were recommended for pregnant patients. Using universal testing data from 2196 patients who gave birth from April through December 2020 from one institution in New York City, and in comparison, with infection data of the general population in New York City, we estimated the exposure and real-world effectiveness of shielding in pregnant patients. Our Bayesian model shows that patients already pregnant at the onset of the pandemic had a 50% decrease in exposure compared to those who became pregnant after the onset of the pandemic and to the general population.

Indexed as

COVID-19SARS-CoV-2Bayes TheoremFemaleHumansNew York CityPandemicsPregnancyBayesian inferencedynamic modeleffectivenessNew York Citypregnant womenSARS-CoV-2shielding during pregnancy

Identifiers

PMID36366506
PMCPMC9697040

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.