Evidence map›Paper›PMID 34947919›Full record

ArticleLife (Basel, Switzerland)2021

Using a Syrian (Golden) Hamster Biological Model for the Evaluation of Recombinant Anthrax Vaccines.

Tatiana Kravchenko, Galina Titareva, Irina Bakhteeva, Tatiana Kombarova, Alexander Borzilov, Raisa Mironova, Kseniya Khlopova, Vitalii Timofeev

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Life (Basel, Switzerland), 2021. 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
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. New Research on thePathogens (Basel, Switzerland) · 2023
    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

8 authors at 1 institution in 1 country.

Tatiana KravchenkoState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.
Galina TitarevaState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.
Irina BakhteevaState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.ORCID 0000-0002-6897-3613
Tatiana KombarovaState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.
Alexander BorzilovState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.ORCID 0000-0001-6309-7645
Raisa MironovaState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.
Kseniya KhlopovaState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.
Vitalii TimofeevState Research Center for Applied Microbiology and Biotechnology (SRCAMB), 142279 Obolensk, Russia.
State Research Center for Applied Microbiology and Biotechnology · RU

Funding

Ministry of Science and Higher Education of the Russian Federation agreement №075-15.2019-1671 dated October, 31. 2019.
6 · The paper itself

Abstract

In this paper, we demonstrate that a Syrian hamster biological model can be applied to the study of recombinant anthrax vaccines. We show that double vaccination with recombinant proteins, such as protective antigen (PA) and fusion protein LF1PA4, consisting of lethal factor I domain (LF) and PA domain IV, leads to the production of high titers of specific antibodies and to protection from infection with the toxicogenic encapsulated attenuated strain

Indexed as

anthraxBacillus anthracisbiomodelsSyrian hamstersvaccines

Identifiers

PMID34947919
PMCPMC8704111
OpenAlexW4200137988

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.