Evidence map›Paper›PMID 38051965›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

The Relationship Between the Microbiome and Antimicrobial Resistance.

Nguyen T Q Nhu, Vincent B Young

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Impact of carbapenem-resistantMicrobiology spectrum · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. 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

2 authors.

Nguyen T Q NhuDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Vincent B YoungDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-3687-2364

Funding

The microbiome and aging in Clostridioides difficile infectionR01AI162787 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOUNG, VINCENT B, YUNG, RAYMOND L · 2022 to 2025
$3.0M
NIAID NIH HHS R01 AI162787
6 · The paper itself

Abstract

Antibiotics have benefitted human health since their introduction nearly a century ago. However, the rise of antibiotic resistance may portend the dawn of the "post-antibiotic age." With the narrow pipeline for novel antimicrobials, we need new approaches to deal with the rise of multidrug resistant organisms. In the last 2 decades, the role of the intestinal microbiota in human health has been acknowledged and studied widely. Of the various activities carried out by the gut microbiota, colonization resistance is a key function that helps maintain homeostasis. Therefore, re-establishing a healthy microbiota is a novel strategy for treating drug resistance organisms. Preliminary studies suggest that this is a viable approach. However, the extent of their success still needs to be examined. Herein, we will review work in this area and suggest where future studies can further investigate this method for dealing with the threat of antibiotic resistance.

Indexed as

Clostridioides difficileClostridium InfectionsGastrointestinal MicrobiomeMicrobiotaAnti-Bacterial AgentsDrug Resistance, BacterialHumansAnti-Bacterial Agentsantimicrobial resistanceClostridioides difficilemicrobiomemicrobiome therapeuticsmicrobiotamultidrug resistant organsisms

Identifiers

PMID38051965
PMCPMC11487093

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.