Evidence map›Paper›PMID 39611949›Full record

ReviewMicrobial ecology2024

Synergizing Ecotoxicology and Microbiome Data Is Key for Developing Global Indicators of Environmental Antimicrobial Resistance.

John P Makumbi, Samuel K Leareng, Rian E Pierneef, Thulani P Makhalanyane

Abstract readReview
In one paragraph

Review in Microbial ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

John P MakumbiDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.
Samuel K LearengCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Rian E PierneefDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.
Thulani P MakhalanyaneDepartment of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa. tpm@sun.ac.za.

Funding

National Research Foundation of South Africa UID 110717
6 · The paper itself

Abstract

The One Health concept recognises the interconnectedness of humans, plants, animals and the environment. Recent research strongly supports the idea that the environment serves as a significant reservoir for antimicrobial resistance (AMR). However, the complexity of natural environments makes efforts at AMR public health risk assessment difficult. We lack sufficient data on key ecological parameters that influence AMR, as well as the primary proxies necessary for evaluating risks to human health. Developing environmental AMR 'early warning systems' requires models with well-defined parameters. This is necessary to support the implementation of clear and targeted interventions. In this review, we provide a comprehensive overview of the current tools used globally for environmental AMR human health risk assessment and the underlying knowledge gaps. We highlight the urgent need for standardised, cost-effective risk assessment frameworks that are adaptable across different environments and regions to enhance comparability and reliability. These frameworks must also account for previously understudied AMR sources, such as horticulture, and emerging threats like climate change. In addition, integrating traditional ecotoxicology with modern 'omics' approaches will be essential for developing more comprehensive risk models and informing targeted AMR mitigation strategies.

Indexed as

EcotoxicologyMicrobiotaAnimalsAnti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, MicrobialHumansPublic HealthRisk AssessmentAnti-Bacterial AgentsAntimicrobial resistanceAntimicrobial resistance genes (ARGs)Antimicrobial resistant bacteria (ARB)BacteriaMicrobiomesRisk assessment

Identifiers

PMID39611949
PMCPMC11607014

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.