Evidence map›Paper›PMID 33782498›Full record

ArticleScientific reports2021

In vivo efficacy of auranofin in a hamster model of Clostridioides difficile infection.

Nader S Abutaleb, Mohamed N Seleem

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. The state of play of rodent models for the study ofJournal of medical microbiology · 2024
    Review
  3. Antimicrobial agents and chemotherapy · 2024
    Article
  4. Article
  5. Article
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  7. Article
  8. In Vitro and In Vivo Anti-Journal of microbiology and biotechnology · 2022
    Article
  9. Article
  10. 2'FL and LNnT Exert Antipathogenic Effects againstPathogens (Basel, Switzerland) · 2021
    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

2 authors at 2 institutions in 1 country.

Nader S AbutalebDepartment of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, 47907, USA.
Mohamed N SeleemDepartment of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, 47907, USA. seleem@vt.edu.
Purdue University West Lafayette · USVirginia–Maryland College of Veterinary Medicine · US

Funding

Repurposing auranofin and ebselen for treatment of multidrug resistant pathogensR01AI130186 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI SELEEM, MOHAMED · 2017 to 2021
$2.3M
NIAID NIH HHS R01 AI130186
6 · The paper itself

Abstract

Clostridioides difficile infections (CDIs) are an urgent public health threat worldwide and are a leading cause of morbidity and mortality in healthcare settings. The increasing incidence and severity of infections combined with the scarcity of effective anti-CDI agents has made treatment of CDI very challenging. Therefore, development of new, effective anticlostridial agents remains a high priority. The current study investigated the in vivo efficacy of auranofin in a CDI hamster model. All hamsters treated with auranofin (5 mg/kg) survived a lethal challenge with C. difficile. Furthermore, auranofin (5 mg/kg) was as effective as vancomycin, the drug of choice for treatment of CDIs, against relapsing CDI. Furthermore, auranofin (5 mg/kg) generated a 3.15-log

Indexed as

AnimalsAnti-Bacterial AgentsAuranofinClostridioides difficileClostridium InfectionsCricetinaeDisease Models, AnimalMicrobial Sensitivity TestsAnti-Bacterial AgentsAuranofin

Identifiers

PMID33782498
PMCPMC8007812
OpenAlexW3150146246

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.