Evidence map›Paper›PMID 32839787›Full record

ArticlemedRxiv : the preprint server for health sciences2020

SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology.

Erika Molteni, Christina M Astley, Wenjie Ma, Carole H Sudre, Laura A Magee, Benjamin Murray, Tove Fall, Maria F Gomez, Neli Tsereteli, Paul W Franks and 8 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 3 countries.

Erika MolteniSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0001-7773-8140
Christina M AstleyBoston Children's Hospital and Harvard Medical School, Boston, MA, USA.
Wenjie MaClinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA.
Carole H SudreSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Laura A MageeDepartment of Women and Children's Health, School of Life Course Sciences and the Institute of Women and Children's Health, King's College London, London, United Kingdom.
Benjamin MurraySchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Tove FallDepartment of Medical Sciences and Science for Life Laboratory, Uppsala University, Sweden.
Maria F GomezDepartment of Clinical Sciences, Lund University Diabetes Centre, Jan Waldenströms gata 35, SE-21428, Malmo, Sweden.
Neli TsereteliDepartment of Clinical Sciences, Lund University Diabetes Centre, Jan Waldenströms gata 35, SE-21428, Malmo, Sweden.
Paul W FranksDepartment of Clinical Sciences, Lund University Diabetes Centre, Jan Waldenströms gata 35, SE-21428, Malmo, Sweden.
John S BrownsteinBoston Children's Hospital and Harvard Medical School, Boston, MA, USA.
Richard DaviesZoe Global Limited, London, United Kingdom.
Jonathan WolfZoe Global Limited, London, United Kingdom.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Claire J StevesDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
Andrew T ChanClinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA.
Marc ModatSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
King's College London · GBLund University · SEBoston Children's Hospital · USMassachusetts General Hospital · USZOE (United Kingdom) · GBUppsala University · SE

Funding

Seasonal and Viral Determinants of Type 1 Diabetes Onset, Remission, and Glycemic ControlK23DK120899 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI ASTLEY, CHRISTINA M. · 2019 to 2021
$682k
EPA EP-W-17-011Medical Research Council MR/M016560/1NIDDK NIH HHS K23 DK120899Wellcome Trust
6 · The paper itself

Abstract

objectiveTo test whether pregnant and non-pregnant women differ in COVID-19 symptom profile and severity. To extend previous investigations on hospitalized pregnant women to those who did not require hospitalization.

designObservational study prospectively collecting longitudinal (smartphone application interface) and cross-sectional (web-based survey) data.

settingCommunity-based self-participatory citizen surveillance in the United Kingdom, Sweden and the United States of America. POPULATION: Two female community-based cohorts aged 18-44 years. The discovery cohort was drawn from 1,170,315 UK, Sweden and USA women (79 pregnant tested positive) who self-reported status and symptoms longitudinally via smartphone. The replication cohort included 1,344,966 USA women (134 pregnant tested positive) who provided cross-sectional self-reports.

methodsPregnant and non-pregnant were compared for frequencies of symptoms and events, including SARS-CoV-2 testing and hospitalization rates. Multivariable regression was used to investigate symptoms severity and comorbidity effects.

resultsPregnant and non-pregnant women positive for SARS-CoV-2 infection were not different in syndromic severity. Pregnant were more likely to have received testing than non-pregnant, despite reporting fewer symptoms. Pre-existing lung disease was most closely associated with the syndromic severity in pregnant hospitalized women. Heart and kidney diseases and diabetes increased risk. The most frequent symptoms among all non-hospitalized women were anosmia [63% pregnant, 92% non-pregnant] and headache [72%, 62%]. Cardiopulmonary symptoms, including persistent cough [80%] and chest pain [73%], were more frequent among pregnant women who were hospitalized.

conclusionsSymptom characteristics and severity were comparable among pregnant and non-pregnant women, except for gastrointestinal symptoms. Consistent with observations in non-pregnant populations, lung disease and diabetes were associated with increased risk of more severe SARS-CoV-2 infection during pregnancy.

Indexed as

anosmiacitizen sciencecommunity SARS-CoV-2 symptomsdigital healthpregnancySARS-CoV-2 risk factorsSARS-CoV-2 severitysyndromic surveillance

Identifiers

PMID32839787
PMCPMC7444306
OpenAlexW3079560061

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.