Evidence map›Paper›PMID 35394418›Full record

ArticleMicrobial genomics2022

Pathogenomes and variations in Shiga toxin production among geographically distinct clones of

Anna Allué-Guardia, Sara S K Koenig, Ricardo A Martinez, Armando L Rodriguez, Joseph M Bosilevac, Peter Feng, Mark Eppinger

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Diversity of Shiga toxin transducing phages inFrontiers in microbiology · 2024
    Article
  6. Article
  7. Article
  8. 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 4 institutions in 1 country.

Anna Allué-GuardiaDepartment of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA.
Sara S K KoenigDepartment of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA.
Ricardo A MartinezDepartment of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA.
Armando L RodriguezUniversity of Texas at San Antonio, Research Computing Support Group, San Antonio, TX, USA.
Joseph M BosilevacU.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, USA.
Peter FengU.S. Food and Drug Administration (FDA), College Park, MD, USA.
Mark EppingerDepartment of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA.
Texas Center for Infectious Disease · USAgricultural Research Service · USThe University of Texas at San Antonio · USUnited States Food and Drug Administration · US

Funding

Identification of Regulatory Loci of Stx2a Cytotoxin Production in Shiga toxin producing Escherichia coli (STEC)SC1GM135110 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI EPPINGER, MARK · 2020 to 2023
$1.5M
NIGMS NIH HHS SC1 GM135110
6 · The paper itself

Abstract

Infections with globally disseminated Shiga toxin-producing

Indexed as

BacteriophagesEscherichia coli InfectionsHemolytic-Uremic SyndromeShiga-Toxigenic Escherichia coliAnimalsCattleClone CellsHumansMultilocus Sequence TypingShiga ToxinShiga Toxingenomics epidemiologylong-read technology (LRT)Multilocus Sequence Type (MLST)O113:H21 serotypephylogenomicsShiga toxin (Stx) producing Escherichia coli (STEC)Whole Genome Sequencing and Typing (WGST)

Identifiers

PMID35394418
PMCPMC9453080
OpenAlexW4223613304

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.