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Letter to the Editor| Volume 66, P149, January 2018

Response to “Worrisome high frequency of extended-spectrum beta-lactamase-producing Escherichia coli in community-acquired urinary tract infections: a case–control study; methodological issues”

  • German Malaga
    Correspondence
    Corresponding author.
    Affiliations
    CONEVID, Unidad de Conocimiento y Evidencia, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Urb. Ingeniería, San Martín de Porres, Lima, Peru

    Departamento de Medicina, Hospital Cayetano Heredia, San Martín de Porres, Lima, Peru
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  • Franco Castillo-Tokumori
    Affiliations
    CONEVID, Unidad de Conocimiento y Evidencia, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Urb. Ingeniería, San Martín de Porres, Lima, Peru
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  • Claudia Irey-Salgado
    Affiliations
    CONEVID, Unidad de Conocimiento y Evidencia, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Urb. Ingeniería, San Martín de Porres, Lima, Peru
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Open AccessPublished:November 13, 2017DOI:https://doi.org/10.1016/j.ijid.2017.11.012
      We, the authors of the original article, have decided not to implement the statistical method ‘penalization via data augmentation’ to our study, as suggested by Erfan Ayubi and Saeid Safiri. We have investigated whether this method could generate a valid odds ratio (OR) regarding corticosteroid use (as a risk factor); unfortunately, we would have to assume unreal data before applying the method, as we need a tentative OR a priori. The necessary data are currently unavailable, as we found this association incidentally.
      By using penalization via data augmentation, we obtained an OR of 2.17 (95% confidence interval 0.75–6.28) assuming a tentative OR of 1. However, as we have already stated, this analysis uses data that may not be real.
      We opt not to assume tentative data that may not be real, and as such we do not agree that the application of penalization via data augmentation is a way to justify the result found in our study. As stated in the Discussion section of the article: “the confidence interval (2.39–246.92) shows that the design of this study was not adequate for correctly evaluating chronic corticosteroid use. As such, a study with a larger sample size is necessary to verify the relevance of this risk factor.” In this way, we stand by our findings so as to raise concerns in order to motivate further studies.

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