Development and external validation of a dynamic prognostic nomogram for primary extremity soft tissue sarcoma survivors

被引：51

作者：

Callegaro, Dario ^{[1
]}

Miceli, Rosalba ^{[2
]}

Bonvalot, Sylvie ^{[3
]}

Ferguson, Peter C. ^{[4
]}

Strauss, Dirk C. ^{[5
]}

van Praag, Veroniek V. M. ^{[6
]}

Levy, Antonin ^{[7
]}

Griffin, Anthony M. ^{[4
]}

Hayes, Andrew J. ^{[5
]}

Stacchiotti, Silvia ^{[8
]}

Le Pechoux, Cecile ^{[7
]}

Smith, Myles J. ^{[5
]}

Fiore, Marco ^{[1
]}

Tos, Angelo Paolo Dei ^{[9
]}

Smith, Henry G. ^{[5
]}

Catton, Charles ^{[10
,11
]}

Szkandera, Joanna ^{[12
]}

Leithner, Andreas ^{[13
]}

van de Sande, Michiel A. J. ^{[6
]}

Casali, Paolo G. ^{[8
,14
]}

Wunder, Jay S. ^{[4
]}

Gronchi, Alessandro ^{[1
]}

机构：

[1] Fdn IRCCS Ist Nazl Tumori, Dept Surg, I-20133 Milan, Italy

[2] Fdn IRCCS Ist Nazl Tumori, Dept Clin Epidemiol & Trial Org, Milan, Italy

[3] PSL Res Univ, Inst Curie, Dept Surg, Paris, France

[4] Univ Toronto, Princess Margaret Canc Ctr, Dept Surg Oncol, Univ Musculoskeletal Oncol Unit,Mt Sinai Hosp,Dep, Toronto, ON, Canada

[5] Royal Marsden Hosp NHS Fdn Trust, Dept Surg, London, England

[6] Leiden Univ, Dept Orthopaed Surg, Med Ctr, Leiden, Netherlands

[7] Paris Saclay Univ, Dept Radiat Oncol, Gustave Roussy Canc Campus, Villejuif, France

[8] Fdn IRCCS Ist Nazl Tumori, Dept Canc Med, Milan, Italy

[9] Gen Hosp Treviso, Dept Pathol, Treviso, Italy

[10] Univ Toronto, Mt Sinai Hosp, Dept Radiat Oncol, Toronto, ON, Canada

[11] Univ Toronto, Princess Margaret Hosp, Dept Radiat Oncol, Toronto, ON, Canada

[12] Med Univ Graz, Div Clin Oncol, Graz, Austria

[13] Med Univ Graz, Dept Orthopaed & Trauma, Graz, Austria

[14] Univ Milan, Oncol & Hematooncol Dept, Milan, Italy

来源：

ECLINICALMEDICINE | 2019年 / 17卷

关键词：

Dynamic prediction; Landmark analysis; Prognostic nomogram; Sarcoma; Soft tissue sarcoma: Survivors;

D O I：

10.1016/j.eclinm.2019.11.008

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Background: Prognostic nomograms for patients with extremity soft tissue sarcoma (eSTS) typically predict survival or the occurrence of local recurrence or distant metastasis at time of surgery. Our aim was to develop and externally validate a dynamic prognostic nomogram for overall survival in eSTS survivors for use during follow-up. Methods: All primary eSTS patients operated with curative intent between 1994 and 2013 at three European and one Canadian sarcoma centers formed the development cohort. Patients with Federation Francaise des Centres de Lutte Contre le Cancer (FNCLCC) grade II and grade III eSTS operated between 2000 and 2016 at seven other European reference centers formed the external validation cohort. We used a landmark analysis approach and a multivariable Cox model to create a dynamic nomogram; the prediction window was fixed at five years. A backward procedure based on the Akaike Information Criterion was adopted for variable selection. We tested the nomogram performance in terms of calibration and discrimination. Findings: The development and validation cohorts included 3740 and 893 patients, respectively. The variables selected applying the backward procedure were patient's age, tumor size and its interaction with landmark time, tumor FNCLCC grade and its interaction with landmark time, histology, and both local recurrence and distant metastasis (as first event) indicator variables. The nomogram showed good calibration and discrimination. Harrell C indexes at different landmark times were between 0.776 (0.761-0.790) and 0.845 (0.823-0.862) in the development series and between 0.675 (0.643-0.704) and 0.810 (0.775-0.844) in the validation series. Interpretation: A new dynamic nomogram is available to predict 5 -year overall survival at different times during the first three years of follow-up in patients operated for primary eSTS. This nomogram allows physicians to update the individual survival prediction during follow-up on the basis of baseline variables, time elapsed from surgery and first-event history. (C) 2019 Published by Elsevier Ltd.

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