2020
DOI: 10.1016/j.therap.2019.12.003
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Antibiotic resistance: Tools for effective translational research

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Cited by 5 publications
(3 citation statements)
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“…Third, 91% of studies had high ROB. This is consistent with findings from previous work and calls for significant improvements in the methods of AMS studies, building on professional recommendations and considering integration of implementation sciences aspects [27][28][29]. Fourth, when assessing interventions effectiveness, we focused on outcomes regarding antibiotic consumption and appropriateness; we did not consider other outcomes such as clinical results.…”
Section: Strengths and Limitationssupporting
confidence: 65%
“…Third, 91% of studies had high ROB. This is consistent with findings from previous work and calls for significant improvements in the methods of AMS studies, building on professional recommendations and considering integration of implementation sciences aspects [27][28][29]. Fourth, when assessing interventions effectiveness, we focused on outcomes regarding antibiotic consumption and appropriateness; we did not consider other outcomes such as clinical results.…”
Section: Strengths and Limitationssupporting
confidence: 65%
“…Despite that quantitative models on how individual antibiotic use may impact AR at the population level are still absent, it is worth mentioning that a reduced antibiotic consumption has also begun to occur in a number of countries just as a result of a change in individual behavior (Edgar et al, 2009), and some tools and indicators to address these changes have been suggested (Ploy et al, 2020). The "tragedy of the commons" metaphor, first proposed in the XIX century (Lloyd, 1833) and later on discussed in 1968 (Hardin, 1968), has been used for addressing the sociology of AR, by showing how individual selfishness promotes antibiotic use, increases resistance, and influences the health of the community by impairing antibiotic efficacy (Baquero and Campos, 2003;Foster and Grundmann, 2006).…”
Section: Social Norms and Tipping Points In Antibiotic Resistance: A mentioning
confidence: 99%
“…Instead, regulators rely upon data regarding improved spectrum from both in vitro and in preclinical animal infection models. There are several reasons for this clinical trial design, particularly including patients infected with multi-drug resistant bacteria in a trial showing superiority will be too long and costly, and there is no standard treatment allowing an early inclusion and randomization [ 17 ]. Policymakers are frustrated that new antibiotics show no greater benefit than existing antibiotics.…”
Section: Resultsmentioning
confidence: 99%