Evidence map›Paper›PMID 23568836›Full record

ArticleGenome research2013

Country-specific antibiotic use practices impact the human gut resistome.

Kristoffer Forslund, Shinichi Sunagawa, Jens Roat Kultima, Daniel R Mende, Manimozhiyan Arumugam, Athanasios Typas, Peer Bork

Abstract read
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 1 pooled it
–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

219 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Fecal Microbial Transplants Reduce Antibiotic-resistant Genes in Patients With Recurrent Clostridium difficile Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2016
    Trial
  9. Article
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  11. Diabetes-associatedMicrobiology spectrum · 2026
    Observational
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  13. Review
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  20. Observational

159 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

7 authors.

Kristoffer ForslundEuropean Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Shinichi Sunagawa
Jens Roat Kultima
Daniel R Mende
Manimozhiyan Arumugam
Athanasios Typas
Peer Bork

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite increasing concerns over inappropriate use of antibiotics in medicine and food production, population-level resistance transfer into the human gut microbiota has not been demonstrated beyond individual case studies. To determine the "antibiotic resistance potential" for entire microbial communities, we employ metagenomic data and quantify the totality of known resistance genes in each community (its resistome) for 68 classes and subclasses of antibiotics. In 252 fecal metagenomes from three countries, we show that the most abundant resistance determinants are those for antibiotics also used in animals and for antibiotics that have been available longer. Resistance genes are also more abundant in samples from Spain, Italy, and France than from Denmark, the United States, or Japan. Where comparable country-level data on antibiotic use in both humans and animals are available, differences in these statistics match the observed resistance potential differences. The results are robust over time as the antibiotic resistance determinants of individuals persist in the human gut flora for at least a year.

Indexed as

AnimalsAnti-Bacterial AgentsDenmarkDrug Resistance, MicrobialFranceGastrointestinal TractHumansItalyJapanMetagenomeMetagenomicsPenetranceSpainUnited StatesAnti-Bacterial Agents

Identifiers

PMID23568836
PMCPMC3698509

What OpenQuestion holds

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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.