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Callegaro D, Barretta F, Swallow CJ, et al. Longitudinal prognostication in retroperitoneal sarcoma survivors: Development and external validation of two dynamic nomograms. Eur J Cancer. 2021;157:291-300doi: 10.1016/j.ejca.2021.08.008.
Callegaro, D., Barretta, F., Swallow, C. J., Strauss, D. C., Bonvalot, S., Honorè, C., Stoeckle, E., van Coevorden, F., Haas, R., Rutkowski, P., Schrage, Y., Fairweather, M., Conti, L., Vassos, N., Gladdy, R. A., Ng, D., van Houdt, W. J., Miceli, R., Raut, C. P., & Gronchi, A. (2021). Longitudinal prognostication in retroperitoneal sarcoma survivors: Development and external validation of two dynamic nomograms. European journal of cancer (Oxford, England : 1990), 157291-300. https://doi.org/10.1016/j.ejca.2021.08.008
Callegaro, Dario, et al. "Longitudinal prognostication in retroperitoneal sarcoma survivors: Development and external validation of two dynamic nomograms." European journal of cancer (Oxford, England : 1990) vol. 157 (2021): 291-300. doi: https://doi.org/10.1016/j.ejca.2021.08.008
Callegaro D, Barretta F, Swallow CJ, Strauss DC, Bonvalot S, Honorè C, Stoeckle E, van Coevorden F, Haas R, Rutkowski P, Schrage Y, Fairweather M, Conti L, Vassos N, Gladdy RA, Ng D, van Houdt WJ, Miceli R, Raut CP, Gronchi A. Longitudinal prognostication in retroperitoneal sarcoma survivors: Development and external validation of two dynamic nomograms. Eur J Cancer. 2021 Nov;157:291-300. doi: 10.1016/j.ejca.2021.08.008. Epub 2021 Sep 20. PMID: 34555648.
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Eur J Cancer. 2021 Nov;157:291-300. doi: 10.1016/j.ejca.2021.08.008. Epub 2021 Sep 20.

Longitudinal prognostication in retroperitoneal sarcoma survivors: Development and external validation of two dynamic nomograms.

European journal of cancer (Oxford, England : 1990)

Dario Callegaro, Francesco Barretta, Carol J Swallow, Dirk C Strauss, Sylvie Bonvalot, Charles Honorè, Eberhard Stoeckle, Frits van Coevorden, Rick Haas, Piotr Rutkowski, Yvonne Schrage, Mark Fairweather, Lorenzo Conti, Nikolaos Vassos, Rebecca A Gladdy, Deanna Ng, Winan J van Houdt, Rosalba Miceli, Chandrajit P Raut, Alessandro Gronchi

Affiliations

  1. Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Department of Surgery, University of Toronto, Toronto, ON, Canada.
  2. Department of Clinical Epidemiology and Trial Organisation, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
  3. Department of Surgical Oncology, Princess Margaret Cancer Centre/Mount Sinai Hospital, Toronto, Canada; Department of Surgery, University of Toronto, Toronto, ON, Canada.
  4. Department of General Surgery, Royal Marsden NHS Foundation Trust, London, UK.
  5. Department of Surgery, Institute Curie, PSL University, Paris, France.
  6. Department of Surgery, Institut Gustave Roussy, Villejuif, France.
  7. Department of Surgery, Institut Bergonie, Bordeaux, France.
  8. Department of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
  9. Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
  10. Department of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
  11. Department of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
  12. Department of Surgery, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
  13. Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
  14. Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. Electronic address: [email protected].

PMID: 34555648 DOI: 10.1016/j.ejca.2021.08.008

Abstract

PURPOSE: The aim of this study was to create and validate dynamic nomograms to predict overall survival (OS) and disease-free survival (DFS) at different time points during follow-up in patients who had undergone resection of primary retroperitoneal sarcoma (RPS).

METHODS: Patients with primary RPS operated upon between 2002 and 2017 at four and six referral centres comprised the development and external validation cohorts, respectively. Landmark analysis and multivariable Cox models were used to develop dynamic nomograms. Variables were selected using two backward procedures based on the Akaike information criterion. The prediction window was fixed at 5 years. Nomogram performances were tested in terms of calibration and discrimination on the development and validation cohorts.

RESULTS: Development and validation cohorts totalled 1357 and 487 patients (OS analysis), and 1309 and 452 patients (DFS analysis), respectively. The final OS model included age, landmark time (T

CONCLUSION: Validated nomograms are available to predict the 5-year OS and DFS probability at different time points throughout the first 5 years of follow-up in RPS survivors.

Copyright © 2021 Elsevier Ltd. All rights reserved.

Keywords: Dynamic nomogram; Landmark analysis; Prognosis; Retroperitoneal sarcoma; Soft tissue sarcoma; Survivor

Conflict of interest statement

Conflict of interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

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