Evidence map›Paper›PMID 35893476›Full record

ReviewInfectious disease reports2022

Mix-and-Match COVID-19 Vaccinations (Heterologous Boost): A Review.

Ishan Garg, Abu Baker Sheikh, Suman Pal, Rahul Shekhar

Open access · goldAbstract readReview
In one paragraph

Review in Infectious disease reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
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  5. Impact of COVID-19 Booster Vaccination on Serum Redox Homeostasis.International journal of molecular sciences · 2026
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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

4 authors at 1 institution in 1 country.

Ishan GargDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87106, USA.
Abu Baker SheikhDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87106, USA.ORCID 0000-0003-0503-6961
Suman PalDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87106, USA.ORCID 0000-0002-2051-9788
Rahul ShekharDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87106, USA.
University of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various safe and effective COVID-19 vaccines utilizing different platforms (mRNA, adenovirus vector, inactivated virus-based) are available against SARS-CoV-2 infection. A prime-boost regimen (administration of two doses) is recommended to induce an adequate and sustained immune response. Most of these vaccines follow a homologous regimen (the same type of vaccine as priming and booster doses). However, there is a growing interest in a heterologous prime-boost vaccination regimen to potentially help address concerns posed by fluctuating vaccine supplies, serious adverse effects (anaphylaxis and thromboembolic episodes following adenovirus-based vaccines), new emerging virulent strains, inadequate immune response in immunocompromised individuals, and waning immunity. Various studies have demonstrated that heterologous prime-boost vaccination may induce comparable or higher antibody (spike protein) titers and a similar reactogenicity profile to the homologous prime-boost regimen. Based on these considerations, the Center for Disease Control and Prevention has issued guidance supporting the "mix-and-match" heterologous boost COVID-19 vaccine strategy.

Indexed as

boosterCOVID-19COVID-19 vaccineheterologous prime-boostmix-and-match

Identifiers

PMID35893476
PMCPMC9326526
OpenAlexW4286209173

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.