ReviewFrontiers in microbiology2019
Bringing Community Ecology to Bear on the Issue of Antimicrobial Resistance.
Review in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantifying conjugation rates in clinical and environmental matrices: a systematic review to inform risk assessment.Frontiers in microbiomes · 2024Pooled it
- Article
- Impact of a Pharmacist-Led Grid-Based Stewardship Program on the Association Between Antimicrobial Use and Resistance: A 7.5-Year Interrupted Time-Series Analysis in a Chinese Tertiary Hospital.Infection and drug resistance · 2026Article
- Population Ecology-Quantitative Microbial Risk Assessment (QMRA) Model for Antibiotic-Resistant and SusceptibleEnvironmental science & technology · 2025Article
- Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms.Microorganisms · 2024Review
- Unraveling resistance mechanisms in combination therapy: A comprehensive review of recent advances and future directions.Heliyon · 2024Review
- Antibiotic resistance in livestock, environment and humans: One Health perspective.Journal of animal science and technology · 2024Review
- Translating eco-evolutionary biology into therapy to tackle antibiotic resistance.Nature reviews. Microbiology · 2023Review
- Twenty-first century molecular methods for analyzing antimicrobial resistance in surface waters to support One Health assessments.Journal of microbiological methods · 2021Review
- Antibiotic Resistance: One Health One World Outlook.Frontiers in cellular and infection microbiology · 2021Review
- Tracking Antimicrobial Resistance Determinants in Diarrheal Pathogens: A Cross-Institutional Pilot Study.International journal of molecular sciences · 2020Article
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
Antimicrobial resistance (AMR) is a global concern, pertaining not only to human health but also to the health of industry and the environment. AMR research has traditionally focused on genetic exchange mechanisms and abiotic environmental constraints, leaving important aspects of microbial ecology unresolved. The genetic and ecological aspects of AMR, however, not only contribute separately to the problem but also are interrelated. For example, mutualistic associations among microbes such as biofilms can both serve as a barrier to antibiotic penetration and a breeding ground for horizontal exchange of antimicrobial resistance genes (ARGs). In this review, we elucidate how species interactions promote and impede the establishment, maintenance, and spread of ARGs and indicate how management initiatives might benefit from leveraging the principles and tools of community ecology to better understand and manipulate the processes underlying AMR.
Indexed as
Identifiers
What OpenQuestion holds
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.