article = {COR-2018-3-106}
title = {External validation of nomograms for prediction of survival outcome in retroperitoneal sarcoma using the North East England patient cohort}
journal = {Clinical Oncology and Research}
year = {2018}
issn = {2613-4942}
doi = {http://dx.doi.org/10.31487/j.COR.2018.03.106}
url = {https://www.sciencerepository.org/external-validation-of-nomograms-for-prediction-of-survival-outcome-in-retroperitoneal-sarcoma-using-the-north-east-england-patient-cohor_COR-3-106 
author = {Abdullah  Malik,Derek Manas,George  Watkinson ,Jeffry  Hogg,Jeremy  French,John Lunec,}
keywords = {nomograms , retroperitoneal sarcoma}
abstract ={Introduction: Retroperitoneal sarcoma is a rare tumour that does not present nor progress in a manner
typical for other soft tissue sarcomas. As a result of this the conventional AJCC staging manual for
peripheral STSs is not applicable to RPS and does not allow for stratification of patient groups. This has
been recognised by other research groups and has led to their development of nomograms, incorporating
statistically significant clinical characteristics on retrospective multivariate analysis of patient cohorts. We
applied two of these nomograms to the North East England (NEE) RPS database.
Methods: Nomograms published by Gronchi et al. (to predict 7 year overall and disease-free survival) and
Anaya et al. (to predict 3 year and 5-year overall survival) were applied retrospectively to the 79 patients in
the NEE RPS database. Statistical analysis was performed by use of concordance index to assess capacity
to correctly predict an expected outcome.
Results: The nomogram for predicting 3-year OS published by Anaya et al. gave a concordance index of
0.792 (95% CI 0.70-0.89), p-value <0.001. For 5-year OS, the model has a concordance index of 0.803
(95% CI 0.70 - 0.91), p-value <0.001. The nomogram published by Gronchi et al. to predict 7-year OS was
also applied to our cohort and produced a concordance index of 0.539 (95% CI 0.34-0.74), p value 0.70. No
patients in our cohort were disease free at 7 years and so analysis could not be performed.
Conclusion: The nomogram published by Gronchi et al. was not able to accurately predict the seven-year
survival outcome for patients in the NEE RPS database however the nomogram published by Anaya et al.
provided an accurate prediction of 3 and 5 year survival in our cohort. This warrants further external
validation of this cohort using a larger cohort and incorporating a version of this nomogram into the next
edition of the AJCC Staging Manual should be considered.}