Prognostic models for RPS patients-Attempting to predict patient outcomes

Dario Callegaro, Rosalba Miceli, Rebecca A Gladdy

Research output: Contribution to journalReview articlepeer-review

Abstract

Retroperitoneal sarcoma (RPS) patients can have variable of outcomes after surgery. The chance to recur locally or at distant sites varies according to tumor grade, histologic subtype, and other patient- and tumor-related characteristics. The relative contribution of each prognostic variable on the oncological outcome of RPS patients can be weighted by combining them in prognostic tools such as nomograms. With this review, we critically appraise the available nomograms for RPS patients highlighting pros and cons.

Original languageEnglish
Pages (from-to)69-78
Number of pages10
JournalJournal of Surgical Oncology
Volume117
Issue number1
DOIs
Publication statusPublished - Jan 2018

Keywords

  • Humans
  • Models, Statistical
  • Prognosis
  • Retroperitoneal Neoplasms/pathology
  • Sarcoma/pathology

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