Evidence map›Paper›PMID 35397851›Full record

Observational studyLancet (London, England)2022

Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study.

Cristina Menni, Ana M Valdes, Lorenzo Polidori, Michela Antonelli, Satya Penamakuri, Ana Nogal, Panayiotis Louca, Anna May, Jane C Figueiredo, Christina Hu and 14 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Lancet (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05947643 (Smell in COVID-19 and Efficacy of Nasal Theophylline 3), which is not on this map. Cited by 506 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
506citing papers in PubMed, 4 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.

NCT05947643 phase2completednot on this map

Smell in COVID-19 and Efficacy of Nasal Theophylline 3

TypeinterventionalSponsorWashington University School of MedicineRan2022 to 2025Enrolled77ConditionsCOVID-19Armstheophylline, Placebo
3 · Its place in the literature

Who cites it

506 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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446 more citing papers are in PubMed but not listed here.

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

24 authors.

Cristina MenniDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK. Electronic address: cristina.menni@kcl.a.uk.
Ana M ValdesNottingham NIHR Biomedical Research Centre at the School of Medicine, University of Nottingham, Nottingham, UK.
Lorenzo PolidoriZOE, London, UK.
Michela AntonelliSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Satya PenamakuriZOE, London, UK.
Ana NogalDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Panayiotis LoucaDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Anna MayZOE, London, UK.
Jane C FigueiredoDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles CA, USA.
Christina HuZOE, London, UK.
Erika MolteniSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Liane CanasSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Marc F ÖsterdahlDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Ageing and Health, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Marc ModatSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Carole H SudreSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; MRC Unit for Lifelong Health and Ageing, University College London, London, UK; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Ben FoxZOE, London, UK.
Alexander HammersSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; King's College London & Guy's and St Thomas' PET Centre, London, UK.
Jonathan WolfZOE, London, UK.
Joan CapdevilaZOE, London, UK.
Andrew T ChanClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Sean P DavidNorthShore University Health System & University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
Claire J StevesDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Ageing and Health, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK. Electronic address: tim.spector@kcl.ac.uk.

Funding

EPA EP-W-17-011Medical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059Medical Research Council MR/M016560/1Medical Research Council MR/V027883/1Wellcome Trust
6 · The paper itself

Abstract

backgroundThe SARS-CoV-2 variant of concern, omicron, appears to be less severe than delta. We aim to quantify the differences in symptom prevalence, risk of hospital admission, and symptom duration among the vaccinated population.

methodsIn this prospective longitudinal observational study, we collected data from participants who were self-reporting test results and symptoms in the ZOE COVID app (previously known as the COVID Symptoms Study App). Eligible participants were aged 16-99 years, based in the UK, with a body-mass index between 15 and 55 kg/m

findingsBetween June 1, 2021, and Jan 17, 2022, we identified 63 002 participants who tested positive for SARS-CoV-2 and reported symptoms in the ZOE app. These patients were matched 1:1 for age, sex, and vaccination dose, across two periods (June 1 to Nov 27, 2021, delta prevalent at >70%; n=4990, and Dec 20, 2021, to Jan 17, 2022, omicron prevalent at >70%; n=4990). Loss of smell was less common in participants infected during omicron prevalence than during delta prevalence (16·7% vs 52·7%, odds ratio [OR] 0·17; 95% CI 0·16-0·19, p<0·001). Sore throat was more common during omicron prevalence than during delta prevalence (70·5% vs 60·8%, 1·55; 1·43-1·69, p<0·001). There was a lower rate of hospital admission during omicron prevalence than during delta prevalence (1·9% vs 2·6%, OR 0·75; 95% CI 0·57-0·98, p=0·03).

interpretationThe prevalence of symptoms that characterise an omicron infection differs from those of the delta SARS-CoV-2 variant, apparently with less involvement of the lower respiratory tract and reduced probability of hospital admission. Our data indicate a shorter period of illness and potentially of infectiousness which should impact work-health policies and public health advice.

fundingWellcome Trust, ZOE, National Institute for Health Research, Chronic Disease Research Foundation, National Institutes of Health, and Medical Research Council.

Indexed as

COVID-19SARS-CoV-2COVID-19 VaccinesHospitalsHumansPrevalenceProspective StudiesCOVID-19 Vaccines

Identifiers

PMID35397851
PMCPMC8989396

What OpenQuestion holds

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Registered trials

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.