Evidence map›Paper›PMID 32726955›Full record

ArticleAntibiotics (Basel, Switzerland)2020

Characterization of Five Novel Anti-MRSA Compounds Identified Using a Whole-Animal

Rajamohammed Khader, Nagendran Tharmalingam, Biswajit Mishra, LewisOscar Felix, Frederick M Ausubel, Michael J Kelso, Eleftherios Mylonakis

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Frontiers in cellular and infection microbiology · 2022
    Article
  6. 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

7 authors at 3 institutions in 2 countries.

Rajamohammed KhaderInfectious Diseases Division, Department of Medicine, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI 02903, USA.
Nagendran TharmalingamInfectious Diseases Division, Department of Medicine, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI 02903, USA.ORCID 0000-0001-6107-3754
Biswajit MishraInfectious Diseases Division, Department of Medicine, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI 02903, USA.
LewisOscar FelixInfectious Diseases Division, Department of Medicine, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI 02903, USA.
Frederick M AusubelDepartment of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-6927-8460
Michael J KelsoMolecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Northfields Avenue, Wollongong 2522, Australia.ORCID 0000-0001-7809-6637
Eleftherios MylonakisInfectious Diseases Division, Department of Medicine, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI 02903, USA.
Brown University · USHarvard University · USUniversity of Wollongong · AU

Funding

Technical Mother Machine CoreP01AI083214 · NIAID · SCHEPENS EYE RESEARCH INSTITUTE · PI David C Hooper · 2009 to 2026
$39.4M
NIH HHS P01 AI083214
6 · The paper itself

Abstract

There is a significant need to combat the growing challenge of antibacterial drug resistance. We have previously developed a whole-animal dual-screening platform that first used the nematode

Indexed as

antibioticCaenorhabditis elegansGalleria mellonellahigh-throughput screening (HTS), MRSAMIC

Identifiers

PMID32726955
PMCPMC7459823
OpenAlexW3045252272

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.