Evidence map›Paper›PMID 34517779›Full record

ArticleVirulence2021

Roborovski hamster

Chongkai Zhai, Mingda Wang, Hea-Jong Chung, Mehedi Hassan, Seungkoo Lee, Hyeon-Jin Kim, Seong-Tshool Hong

Open access · goldAbstract read
In one paragraph

Article in Virulence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. Viruses · 2025
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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

7 authors at 4 institutions in 1 country.

Chongkai ZhaiDepartment of Biomedical Sciences and Institute for Medical Science, Jeonbuk National University Medical School, Jeonju, South Korea.
Mingda WangGwangju Center, Korea Basic Science Institute, Gwangju, South Korea.
Hea-Jong Chung
Mehedi HassanDepartment of Biomedical Sciences and Institute for Medical Science, Jeonbuk National University Medical School, Jeonju, South Korea.
Seungkoo LeeDepartment of Anatomic Pathology, School of Medicine, Kangwon National University, Kangwon National University Hospital, Chuncheon, South Korea.
Hyeon-Jin KimJINIS BDRD Institute, JINIS Inc, Bongdong, South Korea.ORCID 0000-0003-3117-353X
Seong-Tshool HongDepartment of Biomedical Sciences and Institute for Medical Science, Jeonbuk National University Medical School, Jeonju, South Korea.ORCID 0000-0001-8254-6581
Jeonbuk National University · KRJINIS Biopharmaceuticals (South Korea) · KRKangwon National University Hospital · KRKorea Basic Science Institute · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome CoV-2 (SARS-CoV-2) is currently causing a worldwide threat with its unusually high transmission rates and rapid evolution into diverse strains. Unlike typical respiratory viruses, SARS-CoV-2 frequently causes systemic infection by breaking the boundaries of the respiratory systems. The development of animal models recapitulating the clinical manifestations of COVID-19 is of utmost importance not only for the development of vaccines and antivirals but also for understanding the pathogenesis. However, there has not been developed an animal model for systemic infection of SARS-CoV-2 representing most aspects of the clinical manifestations of COVID-19 with systemic symptoms. Here we report that a Roborovski hamster strain SH101, a laboratory inbred hamster strain of

Indexed as

COVID-19Disease Models, AnimalSARS-CoV-2AnimalsBody TemperatureBrainCricetinaeFemaleLiverLungMaleMesocricetusMiceMice, TransgenicCOVID-19 animal modelPhodopus roborovskii SH101roborovski hamsterSARS-CoV-2

Identifiers

PMID34517779
PMCPMC8451461
OpenAlexW3200533940

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.