Evidence map›Paper›PMID 35740184›Full record

ReviewAntibiotics (Basel, Switzerland)2022

Antimicrobial Resistance in New Zealand-A One Health Perspective.

Isabelle Pattis, Louise Weaver, Sara Burgess, James E Ussher, Kristin Dyet

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Antimicrobial Resistance Under a Changing Climate.Journal of the Royal Society of New Zealand · 2026
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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

5 authors.

Isabelle PattisInstitute of Environmental Science and Research Ltd., Christchurch 8041, New Zealand.
Louise WeaverInstitute of Environmental Science and Research Ltd., Christchurch 8041, New Zealand.
Sara BurgessSchool of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.
James E UssherDepartment of Microbiology and Immunology, University of Otago, Dunedin 9054, New Zealand.ORCID 0000-0001-9222-7680
Kristin DyetInstitute of Environmental Science and Research Ltd., Porirua 5022, New Zealand.ORCID 0000-0003-2508-6843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is an increasing global threat that affects human, animal and, often less acknowledged, environmental health. This complex issue requires a multisectoral One Health approach to address the interconnectedness of humans, animals and the natural environment. The prevalence of AMR in these reservoirs varies widely among countries and thus often requires a country-specific approach. In New Zealand (NZ), AMR and antimicrobial usage in humans are relatively well-monitored and -understood, with high human use of antimicrobials and the frequency of resistant pathogens increasing in hospitals and the community. In contrast, on average, NZ is a low user of antimicrobials in animal husbandry systems with low rates of AMR in food-producing animals. AMR in New Zealand's environment is little understood, and the role of the natural environment in AMR transmission is unclear. Here, we aimed to provide a summary of the current knowledge on AMR in NZ, addressing all three components of the One Health triad with a particular focus on environmental AMR. We aimed to identify knowledge gaps to help develop research strategies, especially towards mitigating AMR in the environment, the often-neglected part of the One Health triad.

Indexed as

AMRantimicrobialenvironmental AMRimpactsNew ZealandOne Healthresistance

Identifiers

PMID35740184
PMCPMC9220317

What OpenQuestion holds

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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.