Evidence map›Paper›PMID 34508079›Full record

SynthesisNature communications2021

Twenty-year trends in antimicrobial resistance from aquaculture and fisheries in Asia.

Daniel Schar, Cheng Zhao, Yu Wang, D G Joakim Larsson, Marius Gilbert, Thomas P Van Boeckel

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 3 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

82 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  8. Bacteriophages AgainstViruses · 2026
    Review
  9. Shiga Toxin-ProducingVeterinary sciences · 2026
    Review
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22 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

6 authors.

Daniel ScharSpatial Epidemiology Laboratory, Université Libre de Bruxelles, Brussels, Belgium. dlschar@gmail.com.ORCID 0000-0002-8751-325X
Cheng ZhaoInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-3176-0593
Yu WangInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-2395-2373
D G Joakim LarssonCenter for Antibiotic Resistance Research, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-5496-0328
Marius GilbertSpatial Epidemiology Laboratory, Université Libre de Bruxelles, Brussels, Belgium.
Thomas P Van BoeckelInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland. thomas.vanboeckel@env.ethz.ch.ORCID 0000-0002-6556-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a growing threat to human and animal health. However, in aquatic animals-the fastest growing food animal sector globally-AMR trends are seldom documented, particularly in Asia, which contributes two-thirds of global food fish production. Here, we present a systematic review and meta-analysis of 749 point prevalence surveys reporting antibiotic-resistant bacteria from aquatic food animals in Asia, extracted from 343 articles published in 2000-2019. We find concerning levels of resistance to medically important antimicrobials in foodborne pathogens. In aquaculture, the percentage of antimicrobial compounds per survey with resistance exceeding 50% (P50) plateaued at 33% [95% confidence interval (CI) 28 to 37%] between 2000 and 2018. In fisheries, P50 decreased from 52% [95% CI 39 to 65%] to 22% [95% CI 14 to 30%]. We map AMR at 10-kilometer resolution, finding resistance hotspots along Asia's major river systems and coastal waters of China and India. Regions benefitting most from future surveillance efforts are eastern China and India. Scaling up surveillance to strengthen epidemiological evidence on AMR and inform aquaculture and fisheries interventions is needed to mitigate the impact of AMR globally.

Indexed as

AnimalsAnti-Bacterial AgentsAsiaBacteriaDrug Resistance, BacterialFish DiseasesFisheriesFishesFish ProductsPrevalenceAnti-Bacterial Agents

Identifiers

PMID34508079
PMCPMC8433129

What OpenQuestion holds

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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.