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      Nomograms in oncology: more than meets the eye.

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          Abstract

          Nomograms are widely used as prognostic devices in oncology and medicine. With the ability to generate an individual probability of a clinical event by integrating diverse prognostic and determinant variables, nomograms meet our desire for biologically and clinically integrated models and fulfill our drive towards personalised medicine. Rapid computation through user-friendly digital interfaces, together with increased accuracy, and more easily understood prognoses compared with conventional staging, allow for seamless incorporation of nomogram-derived prognosis to aid clinical decision making. This has led to the appearance of many nomograms on the internet and in medical journals, and an increase in nomogram use by patients and physicians alike. However, the statistical foundations of nomogram construction, their precise interpretation, and evidence supporting their use are generally misunderstood. This issue is leading to an under-appreciation of the inherent uncertainties regarding nomogram use. We provide a systematic, practical approach to evaluating and comprehending nomogram-derived prognoses, with particular emphasis on clarifying common misconceptions and highlighting limitations.

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          Author and article information

          Journal
          Lancet Oncol.
          The Lancet. Oncology
          1474-5488
          1470-2045
          Apr 2015
          : 16
          : 4
          Affiliations
          [1 ] Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: balachav@mskcc.org.
          [2 ] Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
          [3 ] Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
          Article
          S1470-2045(14)71116-7 NIHMS692043
          10.1016/S1470-2045(14)71116-7
          25846097
          27bc2726-291a-4e29-9a5c-763bb6eb0ce9
          Copyright © 2015 Elsevier Ltd. All rights reserved.
          History

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