Evidence map›Paper›PMID 28149696›Full record

ArticlePeerJ2017

Antibiotic resistance potential of the healthy preterm infant gut microbiome.

Graham Rose, Alexander G Shaw, Kathleen Sim, David J Wooldridge, Ming-Shi Li, Saheer Gharbia, Raju Misra, John Simon Kroll

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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  12. Microbiota Supplementation withCell reports. Medicine · 2020
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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

8 authors at 3 institutions in 1 country.

Graham RoseGenomics Research Unit, Public Health England , London , United Kingdom.
Alexander G ShawDepartment of Medicine, Imperial College London , London , United Kingdom.
Kathleen SimDepartment of Medicine, Imperial College London , London , United Kingdom.
David J WooldridgeGenomics Research Unit, Public Health England , London , United Kingdom.
Ming-Shi LiDepartment of Medicine, Imperial College London , London , United Kingdom.
Saheer GharbiaGenomics Research Unit, Public Health England , London , United Kingdom.
Raju MisraGenomics Research Unit, Public Health England , London , United Kingdom.
John Simon KrollSection of Paediatrics, Department of Medicine, Imperial College London , London , United Kingdom.
Imperial College London · GBGenomics (United Kingdom) · GBPublic Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have investigated the gut microbiome of infants, fewer still preterm infants. In this study we sought to quantify and interrogate the resistome within a cohort of premature infants using shotgun metagenomic sequencing. We describe the gut microbiomes from preterm but healthy infants, characterising the taxonomic diversity identified and frequency of antibiotic resistance genes detected.

resultsDominant clinically important species identified within the microbiomes included

conclusionsWe found that the healthy preterm infant gut microbiomes in this study harboured a significant diversity of antibiotic resistance genes. This broad picture of resistances and the wider taxonomic diversity identified raises further caution to the use of antibiotics without consideration of the resident microbial communities.

Indexed as

Antibiotic resistanceGut microbiomePreterm infantsShotgun metagenomics

Identifiers

PMID28149696
PMCPMC5270596
OpenAlexW2581361205

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.