Evidence map›Paper›PMID 36048186›Full record

ReviewInnere Medizin (Heidelberg, Germany)2022

[Role of the gut microbiome in the development and transfer of antibiotic resistances].

Tobias M Appel, Maria J Vehreschild

Abstract readReview
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In one paragraph

Review in Innere Medizin (Heidelberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tobias M AppelZentrum für Innere Medizin, Medizinische Klinik 2, Infektiologie, Universitätsklinikum Frankfurt, Goethe-Universität Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Deutschland.
Maria J VehreschildZentrum für Innere Medizin, Medizinische Klinik 2, Infektiologie, Universitätsklinikum Frankfurt, Goethe-Universität Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Deutschland. maria.vehreschild@kgu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AR) is a natural phenomenon resulting from the exposure of bacteria to antibacterial substances. The intestinal microbiome plays a central role in the development and transmission of AR. In its physiological state, the intestinal microbiome has several mechanisms that contribute to what is referred to as colonization resistance against potentially pathogenic and often multiresistant bacteria. Exposure to broad-spectrum antibiotics can disrupt those mechanisms, facilitating colonization with these pathogens. The persistence of antibiotic selection pressure favors growth of multiresistant bacteria and their dominance within the intestinal microbiota. Under these circumstances, the risk of the development of invasive infections increases. Antibiotic stewardship programs, the use of narrow-spectrum antibiotics, and the administration of substances that protect the intestinal microbiome from antibiotic exposure can prevent these processes. Several interventions such as the administration of probiotics, oral antibiotics, and fecal microbiome transfers are potential strategies for decolonizing patients with multidrug resistant bacteria; to date, however, no intervention has been proven to be consistently effective.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnti-Bacterial AgentsBacteriaDrug Resistance, Multiple, BacterialHumansAnti-Bacterial AgentsAnti-bacterial agents, broad-spectrumAnti-bacterial agents, narrow-spectrumAntibiotic StewardshipDrug resistance, multipleGene transfer, horizontal

Identifiers

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.