Evidence map›Paper›PMID 36310810›Full record

ReviewAntimicrobial stewardship & healthcare epidemiology : ASHE2022

The long-term effectiveness of coronavirus disease 2019 (COVID-19) vaccines: A systematic literature review and meta-analysis.

Alexandre R Marra, Takaaki Kobayashi, Hiroyuki Suzuki, Mohammed Alsuhaibani, Marin L Schweizer, Daniel J Diekema, Bruna Marques Tofaneto, Luigi Makowski Bariani, Mariana de Amorim Auler, Jorge L Salinas and 3 more

Abstract readReview
In one paragraph

Review in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The systemic capillary leak syndrome following COVID-19 vaccine.Human vaccines & immunotherapeutics · 2024
    Article
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.

Alexandre R MarraDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States.ORCID https://orcid.org/0000-0002-7577-7688
Takaaki KobayashiDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States.ORCID https://orcid.org/0000-0003-4751-6859
Hiroyuki SuzukiDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States.ORCID https://orcid.org/0000-0002-5953-3704
Mohammed AlsuhaibaniDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States.
Marin L SchweizerDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States.
Daniel J DiekemaDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States.
Bruna Marques TofanetoAlbert Einstein Medical College, São Paulo, Brazil.
Luigi Makowski BarianiAlbert Einstein Medical College, São Paulo, Brazil.
Mariana de Amorim AulerAlbert Einstein Medical College, São Paulo, Brazil.
Jorge L SalinasStanford University, Stanford, California, United States.
Michael B EdmondWest Virginia University School of Medicine, Morgantown, West Virginia, United States.
João Renato Rebello PinhoResearch and Development Sector, Clinical Laboratory, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Luiz Vicente RizzoInstituto Israelita de Ensino e Pesquisa Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although multiple studies revealed high vaccine effectiveness of coronavirus disease 2019 (COVID-19) vaccines within 3 months after the completion of vaccines, long-term vaccine effectiveness has not been well established, especially after the δ (delta) variant became prominent. We performed a systematic literature review and meta-analysis of long-term vaccine effectiveness. Methods: We searched PubMed, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science from December 2019 to November 15, 2021, for studies evaluating the long-term vaccine effectiveness against laboratory-confirmed COVID-19 or COVID-19 hospitalization among individuals who received 2 doses of Pfizer/BioNTech, Moderna, or AstraZeneca vaccines, or 1 dose of the Janssen vaccine. Long-term was defined as >5 months after the last dose. We calculated the pooled diagnostic odds ratio (DOR) with 95% confidence interval for COVID-19 between vaccinated and unvaccinated individuals. Vaccine effectiveness was estimated as 100% × (1 - DOR). Results: In total, 16 studies including 17,939,172 individuals evaluated long-term vaccine effectiveness and were included in the meta-analysis. The pooled DOR for COVID-19 was 0.158 (95% CI: 0.157-0.160) with an estimated vaccine effectiveness of 84.2% (95% CI, 84.0- 84.3%). Estimated vaccine effectiveness against COVID-19 hospitalization was 88.7% (95% CI, 55.8%-97.1%). Vaccine effectiveness against COVID-19 during the δ variant period was 61.2% (95% CI, 59.0%-63.3%). Conclusions: COVID-19 vaccines are effective in preventing COVID-19 and COVID-19 hospitalization across a long-term period for the circulating variants during the study period. More observational studies are needed to evaluate the vaccine effectiveness of third dose of a COVID-19 vaccine, the vaccine effectiveness of mixing COVID-19 vaccines, COVID-19 breakthrough infection, and vaccine effectiveness against newly emerging variants.

Identifiers

PMID36310810
PMCPMC9614898

What OpenQuestion holds

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Registered trials

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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.