Evidence map›Paper›PMID 36992130›Full record

ArticleVaccines2023

Safe Subunit Green Vaccines Confer Robust Immunity and Protection against Mucosal Brucella Infection in Mice.

Mostafa F Abushahba, Alexis S Dadelahi, Emily L Lemoine, Jerod A Skyberg, Swati Vyas, Sagar Dhoble, Vinod Ghodake, Vandana B Patravale, Jeffrey J Adamovicz

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. 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
2.4field-weighted citation impact, top 12% 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, 8 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 3 countries.

Mostafa F AbushahbaDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-3616-3800
Alexis S DadelahiDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.
Emily L LemoineDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.
Jerod A SkybergDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.
Swati VyasDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, N.P. Marg, Matunga (E), Mumbai 400019, Maharashtra, India.
Sagar DhobleDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, N.P. Marg, Matunga (E), Mumbai 400019, Maharashtra, India.
Vinod GhodakeDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, N.P. Marg, Matunga (E), Mumbai 400019, Maharashtra, India.
Vandana B PatravaleDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, N.P. Marg, Matunga (E), Mumbai 400019, Maharashtra, India.
Jeffrey J AdamoviczDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.
University of Missouri · USInstitute of Chemical Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brucellosis is a zoonotic disease that causes significant negative impacts on the animal industry and affects over half a million people worldwide every year. The limited safety and efficacy of current animal brucellosis vaccines, combined with the lack of a licensed human brucellosis vaccine, have led researchers to search for new vaccine strategies to combat the disease. To this end, the present research aimed to evaluate the safety and efficacy of a green vaccine candidate that combines

Indexed as

Brucellalipopolysaccharidesaponinzoonosis

Identifiers

PMID36992130
PMCPMC10051820
OpenAlexW4322500912

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.