Evidence map›Paper›PMID 34358163›Full record

ArticleVaccines2021

Accelerated Development of COVID-19 Vaccines: Technology Platforms, Benefits, and Associated Risks.

Ralf Wagner, Eberhard Hildt, Elena Grabski, Yuansheng Sun, Heidi Meyer, Annette Lommel, Brigitte Keller-Stanislawski, Jan Müller-Berghaus, Klaus Cichutek

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  3. [Platform technologies in vaccine development].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Review
  4. Competition Law and Ethics of Innovation as Catalysts for Fairness: Reimagining the EU's COVID-19 Vaccine Strategy.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2025
    Article
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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

9 authors at 1 institution in 1 country.

Ralf WagnerPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Eberhard HildtPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.ORCID 0000-0002-3020-9564
Elena GrabskiPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Yuansheng SunPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Heidi MeyerPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Annette LommelPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Brigitte Keller-StanislawskiPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Jan Müller-BerghausPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Klaus CichutekPaul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, 63225 Langen, Germany.
Paul Ehrlich Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple preventive COVID-19 vaccines have been developed during the ongoing SARS coronavirus (CoV) 2 pandemic, utilizing a variety of technology platforms, which have different properties, advantages, and disadvantages. The acceleration in vaccine development required to combat the current pandemic is not at the expense of the necessary regulatory requirements, including robust and comprehensive data collection along with clinical product safety and efficacy evaluation. Due to the previous development of vaccine candidates against the related highly pathogenic coronaviruses SARS-CoV and MERS-CoV, the antigen that elicits immune protection is known: the surface spike protein of SARS-CoV-2 or specific domains encoded in that protein, e.g., the receptor binding domain. From a scientific point of view and in accordance with legal frameworks and regulatory practices, for the approval of a clinic trial, the Paul-Ehrlich-Institut requires preclinical testing of vaccine candidates, including general pharmacology and toxicology as well as immunogenicity. For COVID-19 vaccine candidates, based on existing platform technologies with a sufficiently broad data base, pharmacological-toxicological testing in the case of repeated administration, quantifying systemic distribution, and proof of vaccination protection in animal models can be carried out in parallel to phase 1 or 1/2 clinical trials. To reduce the theoretical risk of an increased respiratory illness through infection-enhancing antibodies or as a result of Th2 polarization and altered cytokine profiles of the immune response following vaccination, which are of specific concern for COVID-19 vaccines, appropriate investigative testing is imperative. In general, phase 1 (vaccine safety) and 2 (dose finding, vaccination schedule) clinical trials can be combined, and combined phase 2/3 trials are recommended to determine safety and efficacy. By applying these fundamental requirements not only for the approval and analysis of clinical trials but also for the regulatory evaluation during the assessment of marketing authorization applications, several efficacious and safe COVID-19 vaccines have been licensed in the EU by unprecedentedly fast and flexible procedures. Procedural and regulatory-scientific aspects of the COVID-19 licensing processes are described in this review.

Indexed as

clinical trialsmarketing authorizationSARS-CoV-2vaccine development

Identifiers

PMID34358163
PMCPMC8310218
OpenAlexW3180452113

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.