ArticleEnvironmental evidence2020
What is the research evidence for antibiotic resistance exposure and transmission to humans from the environment? A systematic map protocol.
Article in Environmental evidence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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.
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.
Who cites it
22 citing papers in PubMed.
- An integrated framework for antimicrobial resistance: links with climate change and vulnerability.Frontiers in public health · 2025Review
- Synergizing Ecotoxicology and Microbiome Data Is Key for Developing Global Indicators of Environmental Antimicrobial Resistance.Microbial ecology · 2024Review
- Dissemination and persistence of antimicrobial resistance (AMR) along the wastewater-river continuum.Water research · 2024Article
- Enhancing environmental policy through evidence synthesis: a review of the Environmental Evidence for the Future (EEF) Initiative.Environmental evidence · 2024Article
- Metagenomic assembly is the main bottleneck in the identification of mobile genetic elements.PeerJ · 2024Article
- Reservoirs of antimicrobial resistance in the context of One Health.Current opinion in microbiology · 2023Review
- Co-Selection of Bacterial Metal and Antibiotic Resistance in Soil Laboratory Microcosms.Antibiotics (Basel, Switzerland) · 2023Article
- Glacier-Fed Stream Biofilms Harbor Diverse Resistomes and Biosynthetic Gene Clusters.Microbiology spectrum · 2023Article
- A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings.Nature microbiology · 2022Article
- Isolation of a lytic bacteriophage against extensively drug-resistant Acinetobacter baumannii infections and its dramatic effect in rat model of burn infection.Journal of clinical laboratory analysis · 2022Article
- Antimicrobial Resistance in New Zealand-A One Health Perspective.Antibiotics (Basel, Switzerland) · 2022Review
- What is the effect on antibiotic resistant genes of chlorine disinfection in drinking water supply systems? A systematic review protocol.Environmental evidence · 2022Review
- Existing evidence on antibiotic resistance exposure and transmission to humans from the environment: a systematic map.Environmental evidence · 2022Article
- Antimicrobial Potential of Extract from aScientifica · 2022Article
- Molecular characterization of extended spectrum cephalosporin resistantFrontiers in microbiology · 2022Article
- Biochemical exploration of β-lactamase inhibitors.Frontiers in genetics · 2022Review
- NaturalizedFrontiers in microbiology · 2022Review
- River Biofilms Microbiome and Resistome Responses to Wastewater Treatment Plant Effluents Containing Antibiotics.Frontiers in microbiology · 2022Article
- Article
- Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain.EFSA journal. European Food Safety Authority · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAntimicrobial resistance (AMR) is a public health crisis that is predicted to cause 10 million deaths per year by 2050. The environment has been implicated as a reservoir of AMR and is suggested to play a role in the dissemination of antibiotic resistance genes (ARGs). Currently, most research has focused on measuring concentrations of antibiotics and characterising the abundance and diversity of ARGs and antibiotic resistant bacteria (ARB) in the environment. To date, there has been limited empirical research on whether humans are exposed to this, and whether exposure can lead to measureable impacts on human health. Therefore, the objective of this work is to produce two linked systematic maps to investigate previous research on exposure and transmission of AMR to humans from the environment. The first map will investigate the available research relating to exposure and transmission of ARB/ARGs from the environment to humans on a global scale and the second will investigate the prevalence of ARB/ARGs in various environments in the UK. These two maps will be useful for policy makers and research funders to identify where there are significant gluts and gaps in the current research, and where more primary and synthesis research needs to be undertaken.
methodsSeparate search strategies will be developed for the two maps. Searches will be run in 13 databases, and grey literature will be sought from key websites and engagement with experts. Hits will be managed in EndNote and screened in two stages (title/abstract then full text) against predefined inclusion criteria. A minimum of 10% will be double screened with ongoing consistency checking. All included studies will have data extracted into a bespoke form designed and piloted for each map. Data to be extracted will include bibliographic details, study design, location, exposure source, exposure route, health outcome (Map 1); and prevalence/percentage of ARB/ARG (Map 2). No validity appraisal will be undertaken. Results will be tabulated and presented narratively, together with graphics showing the types and areas of research that has been undertaken and heatmaps for key exposure-health outcomes (Map 1) and exposure-prevalence (Map 2).
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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.