Evidence map›Paper›PMID 37206318›Full record

ArticleZoonoses (Shannon, Ireland)2022

Megan C Mears, Dennis A Bente

Open access · diamondAbstract read
In one paragraph

Article in Zoonoses (Shannon, Ireland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

2 authors at 1 institution in 1 country.

Megan C MearsDepartment of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
Dennis A BenteDepartment of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
The University of Texas Medical Branch at Galveston · US

Funding

EMERGING AND TROPICAL INFECTIOUS DISEASEST32AI007526 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI SOONG, LYNN · 1997 to 2025
$3.1M
NIAID NIH HHS T32 AI007526
6 · The paper itself

Abstract

Objective: There is no licensed vaccine available to prevent the severe tick-borne disease Crimean-Congo hemorrhagic fever (CCHF), caused by the CCHF virus (CCHFV). This study sought to show that a combination of computational methods and data from published literature can inform the design of a multi-epitope antigen for CCHFV that has the potential to be immunogenic. Methods: Cytotoxic and helper T-cell epitopes were evaluated on the CCHFV GPC using bioinformatic servers, and this data was combined with work from previous studies to identify potentially immunodominant regions of the GPC. Regions of the GPC were selected for generation of a model multi-epitope antigen Results: Eleven multi-epitope regions were joined together with flexible linkers Conclusion: The results presented within this manuscript provide information for potential targets within the CCHFV GPC for guiding future vaccine development.

Indexed as

BioinformaticsCCHFV glycoprotein precursorCrimean-Congo hemorrhagic fever virusepitope predictionmulti-epitope antigen

Identifiers

PMID37206318
PMCPMC10195060
OpenAlexW4308566714

What OpenQuestion holds

Textmetadata
LicenceTDM
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.