Evidence map›Paper›PMID 33013808›Full record

ArticleFrontiers in microbiology2020

Establishment of a Replicon Reporter of the Emerging Tick-Borne Bourbon Virus and Use It for Evaluation of Antivirals.

Siyuan Hao, Kang Ning, Xiaomei Wang, Jianke Wang, Fang Cheng, Safder S Ganaie, John E Tavis, Jianming Qiu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Siyuan HaoDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, United States.
Kang NingDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, United States.
Xiaomei WangDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, United States.
Jianke WangDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, United States.
Fang ChengDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, United States.
Safder S GanaieDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, United States.
John E TavisDepartment of Molecular Microbiology and Immunology, Saint Louis University St. Louis, MO, United States.
Jianming QiuDepartment of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, United States.
University of Kansas Medical Center · USSaint Louis University · US

Funding

Parvovirus B19 NS1 nickase-based high-throughput screening and structure study of the nickaseR21AI144564 · NIAID · UNIVERSITY OF KANSAS MEDICAL CENTER · PI QIU, JIANMING · 2019 to 2020
$421k
NIAID NIH HHS R21 AI144564
6 · The paper itself

Abstract

Bourbon virus (BRBV) was first isolated from a patient hospitalized at the University of Kansas Hospital in 2014. Since then, several deaths have been reported to be caused by BRBV infection in the Midwest and Southern United States. BRBV is a tick-borne virus that is widely carried by lone star ticks. It belongs to genus

Indexed as

antiviralsBourbon virusreplicon reporterRNA-dependent RNA polymerasethogotovirustick-borne virus

Identifiers

PMID33013808
PMCPMC7506111
OpenAlexW3084078009

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.