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Integration of MRI to clinical nomogram for predicting pathological stage before radical prostatectomy: bias in the prediction model

  • Letter to the Editor
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World Journal of Urology Aims and scope Submit manuscript

A Letter to the Editor to this article was published on 17 October 2017

The Original Article was published on 19 December 2016

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References

  1. Iacoviello M, Monitillo F, Leone M, Citarelli G, Doronzo A, Antoncecchi V, Puzzovivo A, Rizzo C, Lattarulo MS, Massari F (2016) The renal arterial resistance index predicts worsening renal function in chronic heart failure patients. Cardiorenal Med 7:42–49

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  3. Safiri S, Ayubi E (2016) Bone fracture nonunion rate decreases with increasing age: Bias in the prediction model. Bone. doi:10.1016/j.bone.2016.12.011

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Acknowledgements

The present study was not funded by any organization.

Author’s contributions

R Pakzad: Project development, Manuscript writing. S Safiri: Project development, Manuscript writing.

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Authors and Affiliations

  1. Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran

    Reza Pakzad

  2. Managerial Epidemiology Research Center, Department of Public Health, School of Nursing and Midwifery, Maragheh University of Medical Sciences, Maragheh, Iran

    Saeid Safiri

  3. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

    Saeid Safiri

Authors
  1. Reza Pakzad
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  2. Saeid Safiri
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Corresponding author

Correspondence to Saeid Safiri.

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The authors declare that they have no conflicts of interest.

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Additional information

This comment refers to the article available at doi:10.1007/s00345-016-1981-5.

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Pakzad, R., Safiri, S. Integration of MRI to clinical nomogram for predicting pathological stage before radical prostatectomy: bias in the prediction model. World J Urol 35, 1463–1464 (2017). https://doi.org/10.1007/s00345-017-2020-x

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  • DOI: https://doi.org/10.1007/s00345-017-2020-x

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