Evidence map›Paper›PMID 35588301›Full record

SynthesisJournal of medical virology2022

Clinical manifestations of COVID-19 breakthrough infections: A systematic review and meta-analysis.

Christine J Lee, Wongi Woo, Ah Young Kim, Dong Keon Yon, Seung Won Lee, Ai Koyanagi, Min Seo Kim, Kalthoum Tizaoui, Elena Dragioti, Joaquim Radua and 3 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

13 authors.

Christine J LeeDepartment of Biological and Chemical Sciences, New York Institute of Technology, Old Westbury, New York, USA.
Wongi WooDepartment of Thoracic and Cardiovascular Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Ah Young KimDepartment of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonDepartment of Pediatrics, Division of Pediatric Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0003-1628-9948
Seung Won LeeDepartment of Data Science, Sejong University College of Software Convergence, Seoul, South Korea.ORCID 0000-0001-5632-5208
Ai KoyanagiParc Sanitari Sant Joan de Deu/CIBERSAM, ISCIII, Universitat de Barcelona, Fundacio Sant Joan de Deu, Sant Boi de Llobregat, Barcelona, Spain.
Min Seo KimSamsung Advanced Institute for Health Sciences & Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea.
Kalthoum TizaouiLaboratory of Microoranismes and Active Biomolecules, Sciences Faculty of Tunis, Tunis El Manar University, Tunis, Tunisia.
Elena DragiotiPain and Rehabilitation Centre, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Joaquim RaduaInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain.
Sungsoo LeeDepartment of Thoracic and Cardiovascular Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Lee SmithCambridge Centre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Jae Il ShinDepartment of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0000-0003-2326-1820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To provide a comparative meta-analysis and systematic review of the risk and clinical outcomes of coronavirus 2019 (COVID-19) infection between fully vaccinated and unvaccinated groups. Eighteen studies of COVID-19 infections in fully vaccinated ("breakthrough infections") and unvaccinated individuals were reviewed from Medline/PubMed, Scopus, Embase, and Web of Science databases. The meta-analysis examined the summary effects and between-study heterogeneity regarding differences in the risk of infection, hospitalization, treatments, and mortality between vaccinated and unvaccinated individuals. he overall risk of infection was lower for the fully vaccinated compared to that of the unvaccinated (relative risk [RR] 0.20, 95% confidence interval [CI]: 0.19-0.21), especially for variants other than Delta (Delta: RR 0.29, 95% CI: 0.13-0.65; other variants: RR 0.06, 95% CI: 0.04-0.08). The risk of asymptomatic infection was not statistically significantly different between fully vaccinated and unvaccinated (RR 0.56, 95% CI: 0.27-1.19). There were neither statistically significant differences in risk of hospitalization (RR 1.06, 95% CI: 0.38-2.93), invasive mechanical ventilation (RR 1.65, 95% CI: 0.90-3.06), or mortality (RR 1.19, 95% CI: 0.79-1.78). Conversely, the risk of supplemental oxygen during hospitalization was significantly higher for the unvaccinated (RR 1.40, 95% CI: 1.08-1.82). Unvaccinated people were more vulnerable to COVID-19 infection than fully vaccinated for all variants. Once infected, there were no statistically significant differences in the risk of hospitalization, invasive mechanical ventilation, or mortality. Still, unvaccinated showed an increased need for oxygen supplementation. Further prospective analysis, including patients' risk factors, COVID-19 variants, and the utilized treatment strategies, would be warranted.

Indexed as

COVID-19Breakthrough InfectionsCOVID-19 VaccinesHumansSARS-CoV-2COVID-19 Vaccinesbreakthrough infectionclinical manifestationsCOVID-19Delta variantvaccine effectiveness

Identifiers

PMID35588301
PMCPMC9348075

What OpenQuestion holds

Textmetadata
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.