The incidence of CS, and especially ACT/CS I, has increased over time, which could be driven by both an ageing population and increased diagnostic imaging. With the increased number of diagnosed ACT/CS I, the number of preventative curettages of this tumour has also increased. Despite the supposed preventative character of this treatment, the incidence of high-grade CS did not decrease.

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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 F ed eration Française 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 (0.761À0.790) and 0.845 (0.823À0.862) in the development series and between 0.675 (0.643À0.704) and 0.810 (0.775À0.844) 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 Research in contextEvidence before this studyWe searched PubMed for studies published before Nov 1, 2018, that investigated the use of nomograms for predicting prognosis of patients with extremity soft tissue sarcoma. We used the search terms 'nomogram', 'prediction', 'sarcoma', and 'extremity'. Available prognostic nomograms for patients with extremity soft tissue sarcoma predicted survival or the occurrence of local recurrence or distant metastasis at time of surgery. After surgery, the individual risk of dying shows a non-linear evolution which is determined by the time elapsed from surgery, the event history (occurrence of local recurrence or distant metastasis vs. no events), and by the time-dependent effect of baseline covariates (tumor and patient characteristics). At the time of our search, there were no nomograms available for use during follow-up. The only available dynamic prognostic model was limited to patients with high-grade tumors, adopted a suboptimal histological classification and was not externally validated.Added value of this study.With this study, we created and externally validated a dynamic prognostic nomogra...

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