Evidence map›Paper›PMID 29243233›Full record

ReviewBritish journal of pharmacology2018

Finding the needle in the haystack: systematic identification of psychobiotics.

Aisling Bambury, Kiran Sandhu, John F Cryan, Timothy G Dinan

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 103 citations in OpenAlex.

  1. Trial
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  4. Review
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  7. Nutrients · 2024
    Article
  8. Review
  9. Article
  10. Microbiota-Gut-Brain Axis and Antidepressant Treatment.Current topics in behavioral neurosciences · 2024
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Review
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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

4 authors at 1 institution in 1 country.

Aisling BamburyAPC Microbiome Institute, University College Cork, Cork, Ireland.
Kiran SandhuAPC Microbiome Institute, University College Cork, Cork, Ireland.
John F CryanAPC Microbiome Institute, University College Cork, Cork, Ireland.
Timothy G DinanAPC Microbiome Institute, University College Cork, Cork, Ireland.ORCID 0000-0002-2316-7220
University College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain-gut-microbiota axis is increasingly viewed as a novel paradigm in neuroscience with the capacity to generate innovative therapies for patients with psychiatric illnesses. Psychobiotics, defined as live bacteria, which when ingested in adequate amounts, confer mental health benefits, are increasingly of interest, as preclinical trials continue to show promising results. Particularly in stress-related, anxiety and depressive disorders, there is potential for psychobiotics to deliver new therapies. The question of which microbes may prove to be the most promising psychobiotic in delivering such therapies at a clinical level is of great importance. Here we look at the characteristics of psychobiotics, in an attempt to present an outline from which the identification of potential new psychobiotics may be possible. LINKED ARTICLES: This article is part of a themed section on When Pharmacology Meets the Microbiome: New Targets for Therapeutics? To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v175.24/issuetoc.

Indexed as

AnimalsGastrointestinal MicrobiomeHumansMental DisordersProbiotics

Identifiers

PMID29243233
PMCPMC6255950
OpenAlexW2775651351

What OpenQuestion holds

Textmetadata
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.