Evidence map›Paper›PMID 34642696›Full record

ArticlemedRxiv : the preprint server for health sciences2021

A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections - Risk Factors and Vaccine Effectiveness.

Cong Liu, Junghwan Lee, Casey Ta, Ali Soroush, James R Rogers, Jae Hyun Kim, Karthik Natarajan, Jason Zucker, Chunhua Weng

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Cong LiuDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York NY 10032, USA.
Junghwan LeeDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York NY 10032, USA.
Casey TaDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York NY 10032, USA.
Ali SoroushDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York NY 10032, USA.
James R RogersDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York NY 10032, USA.
Jae Hyun KimSchool of Pharmacy, Jeonbuk National University, Jeonju, South Korea.
Karthik NatarajanDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York NY 10032, USA.
Jason ZuckerDepartment of Medicine, Columbia University Irving Medical Center, New York NY 10032, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York NY 10032, USA.
Columbia University Irving Medical Center · USJeonbuk National University · KR

Funding

Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Deep phenotyping in Electronic Health Records for Genomic MedicineR01LM012895 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WANG, KAI, WENG, CHUNHUA · 2018 to 2021
$3.3M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
NCEZID CDC HHS U01 CK000592NIAID NIH HHS K23 AI150378NIAID NIH HHS L30 AI133789NIAID NIH HHS UM1 AI069470NLM NIH HHS R01 LM012895
6 · The paper itself

Abstract

importanceLittle is known about COVID vaccine breakthrough infections and their risk factors.

objectiveTo identify risk factors associated with COVID-19 breakthrough infections among vaccinated individuals and to reassess the effectiveness of COVID-19 vaccination against severe outcomes using real-world data. DESIGN SETTING AND

participantsWe conducted a series of observational retrospective analyses using the electronic health records (EHRs) of Columbia University Irving Medical Center/New York Presbyterian (CUIMC/NYP) up to September 21, 2021. New York adult residence with PCR test records were included in this analysis. MAIN OUTCOMES AND MEASURES: Poisson regression was used to assess the association between breakthrough infection rate in vaccinated individuals and multiple risk factors - including vaccine brand, demographics, and underlying conditions - while adjusting for calendar month, prior number of visits and observational days. Logistic regression was used to assess the association between vaccine administration and infection rate by comparing a vaccinated cohort to a historically matched cohort in the pre-vaccinated period. Infection incident rate was also compared between vaccinated individuals and longitudinally matched unvaccinated individuals. Cox regression was used to estimate the association of the vaccine and COVID-19 associated severe outcomes by comparing breakthrough cohort and two matched unvaccinated infection cohorts.

resultsIndividuals vaccinated with Pfizer/BNT162b2 (IRR against Moderna/mRNA-1273 [95% CI]: 1.66 [1.17 - 2.35]); were male (1.47 [1.11 - 1.94%]); and had compromised immune systems (1.48 [1.09 - 2.00]) were at the highest risk for breakthrough infections. Vaccinated individuals had a significant lower infection rate among all subgroups. An increased incidence rate was found in both vaccines over the time. Among individuals infected with COVID-19, vaccination significantly reduced the risk of death (adj. HR: 0.20 [0.08 - 0.49]). CONCLUSION AND RELEVANCE: While we found both mRNA vaccines were effective, Moderna/mRNA-1273 had a lower incidence rate of breakthrough infections. Both vaccines had increased incidence rates over the time. Immunocompromised individuals were among the highest risk groups experiencing breakthrough infections. Given the rapidly changing nature of the SARS-CoV-2, continued monitoring and a generalizable analysis pipeline are warranted to inform quick updates on vaccine effectiveness in real time. KEY POINTS:

Identifiers

PMID34642696
PMCPMC8509087
OpenAlexW3202688475

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.