Evidence map›Paper›PMID 32793159›Full record

ArticleFrontiers in microbiology2020

Metatranscriptomic Analysis Reveals Active Bacterial Communities in Diabetic Foot Infections.

Fatemah Sadeghpour Heravi, Martha Zakrzewski, Karen Vickery, Matthew Malone, Honghua Hu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  6. Review
  7. Transcriptomic identification of genes expressed in invasiveFrontiers in cellular and infection microbiology · 2023
    Article
  8. New insight into the virulence and inflammatory response ofFrontiers in cellular and infection microbiology · 2023
    Article
  9. Transcriptomic fingerprint of bacterial infection in lower extremity ulcers.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Adaptation ofToxins · 2021
    Article
  14. Article
  15. Article
  16. 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

5 authors at 3 institutions in 1 country.

Fatemah Sadeghpour HeraviSurgical Infection Research Group, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.
Martha ZakrzewskiQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Karen VickerySurgical Infection Research Group, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.
Matthew MaloneInfectious Diseases and Microbiology, School of Medicine, Western Sydney University, Sydney, NSW, Australia.
Honghua HuSurgical Infection Research Group, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.
Macquarie University · AUIngham Institute · AUQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the extended view of the composition of diabetic foot infections (DFIs), little is known about which transcriptionally active bacterial communities are pertinent to infection, and if any differences are associated with increased infection severity. We applied a RNA sequencing approach to analyze the composition, function, and pathogenicity of the active bacterial communities in DFIs. Taxonomic profiling of bacterial transcripts revealed the presence of 14 bacterial phyla in DFIs. The abundance of the

Indexed as

active bacterial communitydiabetic foot infectionmetatranscriptomicsresistomeRNA sequencingvirulence factors

Identifiers

PMID32793159
PMCPMC7387423
OpenAlexW3044906923

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.