Evidence map›Paper›PMID 34876702›Full record

ReviewNature reviews. Immunology2022

SARS-CoV-2 breakthrough infections in vaccinated individuals: measurement, causes and impact.

Marc Lipsitch, Florian Krammer, Gili Regev-Yochay, Yaniv Lustig, Ran D Balicer

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature reviews. Immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 2 pooled it
20.9field-weighted citation impact, top 1% 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

214 citing papers in PubMed, 2 syntheses or guidelines pooled it, 351 citations in OpenAlex.

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  12. Remdesivir in COVID-19: pros and cons.Frontiers in pharmacology · 2026
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154 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

5 authors at 4 institutions in 2 countries.

Marc LipsitchCenter for Communicable Disease Dynamics, Department of Epidemiology and Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA. mlipsitc@hsph.harvard.edu.ORCID http://orcid.org/0000-0003-1504-9213
Florian KrammerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-4121-776X
Gili Regev-YochayInfection Prevention & Control Unit, Sheba Medical Center, Ramat-Gan, Israel.
Yaniv LustigSackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Ran D BalicerClalit Research Institute, Innovation Division, Clalit Health Services, Tel Aviv, Israel.
Tel Aviv University · ILBen-Gurion University of the Negev · ILCenter for Disease Dynamics, Economics & Policy · USIcahn School of Medicine at Mount Sinai · US

Funding

COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTER: UNIVERSAL INFLUENZA VACCINE RESEARCH75N93019C00051 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRAMMER, FLORIAN · 2019 to 2025
$105.4M
Casual, Statistical and Mathematical Modeling with Serologic DataU01CA261277 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM, LIPSITCH, MARC · 2020 to 2023
$2.8M
NCI NIH HHS U01 CA261277NIAID NIH HHS 75N93019C00051NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

Breakthrough infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in fully vaccinated individuals are receiving intense scrutiny because of their importance in determining how long restrictions to control virus transmission will need to remain in place in highly vaccinated populations as well as in determining the need for additional vaccine doses or changes to the vaccine formulations and/or dosing intervals. Measurement of breakthrough infections is challenging outside of randomized, placebo-controlled, double-blind field trials. However, laboratory and observational studies are necessary to understand the impact of waning immunity, viral variants and other determinants of changing vaccine effectiveness against various levels of coronavirus disease 2019 (COVID-19) severity. Here, we describe the approaches being used to measure vaccine effectiveness and provide a synthesis of the burgeoning literature on the determinants of vaccine effectiveness and breakthrough rates. We argue that, rather than trying to tease apart the contributions of factors such as age, viral variants and time since vaccination, the rates of breakthrough infection are best seen as a consequence of the level of immunity at any moment in an individual, the variant to which that individual is exposed and the severity of disease being considered. We also address key open questions concerning the transition to endemicity, the potential need for altered vaccine formulations to track viral variants, the need to identify immune correlates of protection, and the public health challenges of using various tools to counter breakthrough infections, including boosters in an era of global vaccine shortages.

Indexed as

Breakthrough InfectionsCOVID-19COVID-19 VaccinesHumansSARS-CoV-2Vaccine EfficacyCOVID-19 Vaccines

Identifiers

PMID34876702
PMCPMC8649989
OpenAlexW4200368137

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.