Evidence map›Paper›PMID 24938173›Full record

ReviewTrends in microbiology2014

Polybacterial human disease: the ills of social networking.

Francesca L Short, Sarah L Murdoch, Robert P Ryan

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
–field-weighted citation impact
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

91 citing papers in PubMed.

  1. Trial
  2. Trial
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  7. Observational
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  9. Review
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  12. The role of salivary metabolomics in chronic periodontitis: bridging oral and systemic diseases.Metabolomics : Official journal of the Metabolomic Society · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Antagonistic effects of actin-specific toxins onbioRxiv : the preprint server for biology · 2024
    Article
  19. Synthetic Peptides Capable of Potent MultigroupJournal of the American Chemical Society · 2024
    Article
  20. Article

31 more citing papers are in PubMed but not listed here.

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

3 authors.

Francesca L ShortDivision of Molecular Microbiology, College of Life Sciences, University of Dundee, Dundee, UK.
Sarah L MurdochDivision of Molecular Microbiology, College of Life Sciences, University of Dundee, Dundee, UK.
Robert P RyanDivision of Molecular Microbiology, College of Life Sciences, University of Dundee, Dundee, UK. Electronic address: rpryan@dundee.ac.uk.

Funding

Wellcome Trust 100204Wellcome Trust WT100204AIA
6 · The paper itself

Abstract

Polybacterial diseases involve multiple organisms that act collectively to facilitate disease progression. Although this phenomenon was highlighted early in the 20th century, recent technological advances in diagnostics have led to the appreciation that many infections are far more complex than originally believed. Furthermore, it is apparent that although most treatments focus on the dominant bacterial species in an infection, other microbes, including commensals, can have a profound impact on both the response to therapy and virulence. Very little is known about the molecular mechanisms that underpin interactions between bacteria during such infections. Here, we discuss recent studies identifying and characterizing mechanisms of bacterial interaction and the biological processes they govern during certain diseases. We also highlight how possible strategies for targeting these interbacterial interactions may afford a route towards development of new therapies, with consequences for disease control.

Indexed as

Microbial InteractionsModels, BiologicalAnti-Bacterial AgentsBacteriaBacterial InfectionsHumansSignal TransductionVirulenceAnti-Bacterial Agentscell–cell signalinginfectionmetatranscriptomicspolybacterial diseasepolymicrobial infectionsynergy

Identifiers

PMID24938173
PMCPMC4158425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.