Letter to the editor in response to estimating the burden of antimicrobial resistance: a systematic literature review
- PMID: 30083311
- PMCID: PMC6069994
- DOI: 10.1186/s13756-018-0379-0
Letter to the editor in response to estimating the burden of antimicrobial resistance: a systematic literature review
Abstract
The systematic review published by Naylor et al. in April 2018 highlights methodological assumptions and biases that occur in studies investigating the burden of antimicrobial resistance (AMR). They note that, due to both the large diversity of statistical approaches and perspectives chosen, the current evidence base of the burden of AMR is highly variable. Certainly, these conclusions are valid and the authors present a very thorough analysis of the currently published literature with a broad array of drug-bug combinations. But readers are left with limited direction of estimating the current best available estimate of the health and economic burden of AMR. Such estimates are desperately needed to inform clinical management and for priority setting activities and initiative to curbing the global threat of AMR.
Conflict of interest statement
Not applicable.Not applicable.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Comment on
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Estimating the burden of antimicrobial resistance: a systematic literature review.Antimicrob Resist Infect Control. 2018 Apr 25;7:58. doi: 10.1186/s13756-018-0336-y. eCollection 2018. Antimicrob Resist Infect Control. 2018. PMID: 29713465 Free PMC article.
References
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- Nelson RE, Samore MH, Jones M, Greene T, Stevens VW, Liu CF, Graves N, Evans MF, Rubin MA. Reducing time-dependent Bias in estimates of the attributable cost of health care-associated methicillin-resistant Staphylococcus aureus infections: a comparison of three estimation strategies. Med Care. 2015;53(9):827–834. doi: 10.1097/MLR.0000000000000403. - DOI - PubMed
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- Wolkewitz M, Vonberg RP, Grundmann H, Beyersmann J, Gastmeier P, Barwolff S, Geffers C, Behnke M, Ruden H, Schumacher M. Risk factors for the development of nosocomial pneumonia and mortality on intensive care units: application of competing risks models. Crit Care. 2008;12(2):R44. doi: 10.1186/cc6852. - DOI - PMC - PubMed
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