Evidence map›Paper›PMID 34873584›Full record

ArticleEClinicalMedicine2021

Disentangling post-vaccination symptoms from early COVID-19.

Liane S Canas, Marc F Österdahl, Jie Deng, Christina Hu, Somesh Selvachandran, Lorenzo Polidori, Anna May, Erika Molteni, Benjamin Murray, Liyuan Chen and 10 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 19% 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, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Review
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

20 authors at 2 institutions in 1 country.

Liane S CanasSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Marc F ÖsterdahlDepartment of Twin Research and Genetic Epidemiology, Kings College London, London, UK.
Jie DengSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Christina HuZOE Limited, London, UK.
Somesh SelvachandranZOE Limited, London, UK.
Lorenzo PolidoriZOE Limited, London, UK.
Anna MayZOE Limited, London, UK.
Erika MolteniSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Benjamin MurraySchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Liyuan ChenSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Eric KerfootSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Kerstin KlaserSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Michela AntonelliSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Alexander HammersSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Tim SpectorDepartment of Twin Research and Genetic Epidemiology, Kings College London, London, UK.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Claire StevesDepartment of Twin Research and Genetic Epidemiology, Kings College London, London, UK.
Carole H SudreSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Marc ModatSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Emma L DuncanDepartment of Twin Research and Genetic Epidemiology, Kings College London, London, UK.
King's College London · GBZOE (United Kingdom) · GB

Funding

Medical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059Wellcome Trust
6 · The paper itself

Abstract

backgroundIdentifying and testing individuals likely to have SARS-CoV-2 is critical for infection control, including post-vaccination. Vaccination is a major public health strategy to reduce SARS-CoV-2 infection globally. Some individuals experience systemic symptoms post-vaccination, which overlap with COVID-19 symptoms. This study compared early post-vaccination symptoms in individuals who subsequently tested positive or negative for SARS-CoV-2, using data from the COVID Symptom Study (CSS) app.

methodsWe conducted a prospective observational study in 1,072,313 UK CSS participants who were asymptomatic when vaccinated with Pfizer-BioNTech mRNA vaccine (BNT162b2) or Oxford-AstraZeneca adenovirus-vectored vaccine (ChAdOx1 nCoV-19) between 8 December 2020 and 17 May 2021, who subsequently reported symptoms within seven days (N=362,770) (other than local symptoms at injection site) and were tested for SARS-CoV-2 (N=14,842), aiming to differentiate vaccination side-effects

findingsDifferentiating post-vaccination side-effects alone from early COVID-19 was challenging, with a sensitivity in identification of individuals testing positive of 0.6 at best. Most of these individuals did not have fever, persistent cough, or anosmia/dysosmia, requisite symptoms for accessing UK testing; and many only had systemic symptoms commonly seen post-vaccination in individuals negative for SARS-CoV-2 (headache, myalgia, and fatigue).

interpretationPost-vaccination symptoms

fundingUK Government Department of Health and Social Care, Wellcome Trust, UK Engineering and Physical Sciences Research Council, UK National Institute for Health Research, UK Medical Research Council and British Heart Foundation, Chronic Disease Research Foundation, Zoe Limited.

Indexed as

AUC, Area under the curvebMEM, Bayesian mixed-effect modelBMI, Body mass indexCI, Confidence intervalCOVID-19, Coronavirus disease 2019COVID-19 detectionCSS, COVID Symptoms StudyDI, Data invalidEarly detectionIQR, inter quartile rangeKCL, King's College LondonLFAT, Lateral flow antigen testLR, Logistic RegressionMobile technologyNHS UK, National Health Service of the United KingdomO-AZ, Oxford-AstraZeneca adenovirus-vectored vaccinePB, Pfizer-BoiNTech mRNA vaccineRF, Random forestROC, Receiver operating curvertPCR, Reverse transcription polymerase chain reactionSARS-CoV-2, Severe acute respiratory syndrome-related coronavirus-2Self-reported symptomssevere acute respiratory syndrome‐related coronavirus 2 (SARS-CoV-2)Side-effectsUK, United Kingdom of Great Britain and Nothern IrelandVaccination

Identifiers

PMID34873584
PMCPMC8635464
OpenAlexW3183677631

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.