[Nomograms in routine clinical practice: Methodology, interest and limitations]

Bull Cancer. 2018 Jan;105(1):15-24. doi: 10.1016/j.bulcan.2017.10.024. Epub 2017 Dec 6.
[Article in French]

Abstract

In order to help the clinician, mathematical models including several clinical and pathological variables are proposed in the literature with the aim to predict the occurrence of an event of interest. Nomograms allow individual prognosis for each patient. When they are developed, validated and correctly used, nomograms can provide important information for patients' care. But, despite the strong interest in nomograms in oncology, statistical methodologies used remain unknown from the medical community. This paper presents the major steps in the development, the validation and the clinical use of nomograms. Examples are given to illustrate these different points and the limits of this methodology. Finally, guidelines on the use of nomograms are proposed for clinicians.

Keywords: Clinical utility; Development; Développement; Nomogram; Nomogramme; Recommandation; Recommendation; Utilité clinique; Validation.

MeSH terms

  • Area Under Curve
  • Breast Neoplasms / drug therapy
  • Breast Neoplasms / pathology
  • Female
  • Humans
  • Kidney Neoplasms / drug therapy
  • Models, Theoretical*
  • Neoplasms / diagnosis*
  • Neoplasms / therapy*
  • Nomograms*
  • Reproducibility of Results
  • Sensitivity and Specificity