Evidence map›Paper›PMID 34737424›Full record

ReviewNature reviews. Microbiology2022

Antibiotic resistance in the environment.

D G Joakim Larsson, Carl-Fredrik Flach

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07167173 (Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis), which is not on this map. Cited by 1,017 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,017citing papers in PubMed, 2 pooled it
77.9field-weighted citation impact, top 1% 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.

NCT07167173 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2025 to 2025Enrolled10,000ConditionsSepsis, Septic Shock
3 · Its place in the literature

Who cites it

1,017 citing papers in PubMed, 2 syntheses or guidelines pooled it, 2,613 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Antimicrobial Resistance Under a Changing Climate.Journal of the Royal Society of New Zealand · 2026
    Article
  9. Article
  10. First Report of blaMicrobiologyOpen · 2026
    Article
  11. Article
  12. Electronic-State Programming of Ultrasmall CeOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  13. Article
  14. The Spread of Antibiotic Resistance in Natural Environments.Antibiotics (Basel, Switzerland) · 2026
    Article
  15. Review
  16. Pairwise Growth Dynamics of EnvironmentalAntibiotics (Basel, Switzerland) · 2026
    Article
  17. Article
  18. Soil management practices shape the abundance, diversity, and spread of antimicrobial resistance.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. Article
  20. Effects of PVA/TiOMembranes · 2026
    Article

957 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.

D G Joakim LarssonCentre for Antibiotic Resistance Research at University of Gothenburg, Gothenburg, Sweden. joakim.larsson@fysiologi.gu.se.ORCID http://orcid.org/0000-0002-5496-0328
Carl-Fredrik FlachCentre for Antibiotic Resistance Research at University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-4101-5095
University of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is a global health challenge, involving the transfer of bacteria and genes between humans, animals and the environment. Although multiple barriers restrict the flow of both bacteria and genes, pathogens recurrently acquire new resistance factors from other species, thereby reducing our ability to prevent and treat bacterial infections. Evolutionary events that lead to the emergence of new resistance factors in pathogens are rare and challenging to predict, but may be associated with vast ramifications. Transmission events of already widespread resistant strains are, on the other hand, common, quantifiable and more predictable, but the consequences of each event are limited. Quantifying the pathways and identifying the drivers of and bottlenecks for environmental evolution and transmission of antibiotic resistance are key components to understand and manage the resistance crisis as a whole. In this Review, we present our current understanding of the roles of the environment, including antibiotic pollution, in resistance evolution, in transmission and as a mere reflection of the regional antibiotic resistance situation in the clinic. We provide a perspective on current evidence, describe risk scenarios, discuss methods for surveillance and the assessment of potential drivers, and finally identify some actions to mitigate risks.

Indexed as

BacteriaBacterial InfectionsAnimalsAnti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, MicrobialAnti-Bacterial Agents

Identifiers

PMID34737424
PMCPMC8567979
OpenAlexW3210890336

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.