Evidence map›Paper›PMID 29214770›Full record

ReviewYonsei medical journal2018

Disruption of the Gut Ecosystem by Antibiotics.

Mi Young Yoon, Sang Sun Yoon

Open access · goldAbstract readReview
In one paragraph

Review in Yonsei medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
6.9field-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

79 citing papers in PubMed, 174 citations in OpenAlex.

  1. Review
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  14. Influence of Microbiota on Tumor Immunotherapy.International journal of biological sciences · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Effect of Purslane (International journal of molecular sciences · 2023
    Article
  19. Article
  20. Article

19 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

2 authors at 1 institution in 1 country.

Mi Young YoonDepartment of Microbiology and Immunology, Brain Korea 21 Project for Medical Sciences, Seoul, Korea.ORCID https://orcid.org/0000-0001-9309-2204
Sang Sun YoonDepartment of Microbiology and Immunology, Brain Korea 21 Project for Medical Sciences, Seoul, Korea.ORCID https://orcid.org/0000-0002-4103-1546
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intestinal microbiota is a complex ecosystem consisting of various microorganisms that expands human genetic repertoire and therefore affects human health and disease. The metabolic processes and signal transduction pathways of the host and intestinal microorganisms are intimately linked, and abnormal progression of each process leads to changes in the intestinal environment. Alterations in microbial communities lead to changes in functional structures based on the metabolites produced in the gut, and these environmental changes result in various bacterial infections and chronic enteric inflammatory diseases. Here, we illustrate how antibiotics are associated with an increased risk of antibiotic-associated diseases by driving intestinal environment changes that favor the proliferation and virulence of pathogens. Understanding the pathogenesis caused by antibiotics would be a crucial key to the treatment of antibiotic-associated diseases by mitigating changes in the intestinal environment and restoring it to its original state.

Indexed as

Anti-Bacterial AgentsBacteriaDysbiosisGastrointestinal MicrobiomeHumansIntestinesSymbiosisAnti-Bacterial Agentsantibioticsenteric pathogenfecal microbiota transplantation (FMT)Microbiotaprobiotics

Identifiers

PMID29214770
PMCPMC5725362
OpenAlexW2775193375

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.