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A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation

Sampo, M.; Tarkkanen, M.; Tukiainen, E.; Popov, P.; Gustafson, Pelle LU ; Lundin, M.; Bohling, T.; Blomqvist, C. and Lundin, J. (2012) In British Journal of Cancer 106(6). p.1076-1082
Abstract
BACKGROUND: We developed a web-based, prognostic tool for extremity and trunk wall soft tissue sarcoma to predict 10-year sarcoma-specific survival. External validation was performed. METHODS: Patients referred during 1987-2002 to Helsinki University Central Hospital are included. External validation was obtained from the Lund University Hospital register. Cox proportional hazards models were fitted with the Helsinki data. The previously described model (SIN) includes size, necrosis, and vascular invasion. The extended model (SAM) includes the SIN factors and in addition depth, location, grade, and size on a continuous scale. Models were statistically compared according to accuracy (area under the ROC curve = AUC) of 10-year... (More)
BACKGROUND: We developed a web-based, prognostic tool for extremity and trunk wall soft tissue sarcoma to predict 10-year sarcoma-specific survival. External validation was performed. METHODS: Patients referred during 1987-2002 to Helsinki University Central Hospital are included. External validation was obtained from the Lund University Hospital register. Cox proportional hazards models were fitted with the Helsinki data. The previously described model (SIN) includes size, necrosis, and vascular invasion. The extended model (SAM) includes the SIN factors and in addition depth, location, grade, and size on a continuous scale. Models were statistically compared according to accuracy (area under the ROC curve = AUC) of 10-year sarcoma-specific survival prediction. RESULTS: The AUC of the SAM model in 10-year survival prediction in the Helsinki patient series was 0.81 as compared with 0.74 for the SIN model (P = 0.0007). The corresponding AUCs in the external validation series were 0.77 for the SAM model and 0.73 for the SIN model (P = 0.03). A web-based calculator for the SAM model is available at http://www.prognomics.org/sam. CONCLUSION: Addition of grade, depth, and location as well as tumour size on a continuous scale significantly improved the accuracy of the prognostic model when compared with a model that includes only size, necrosis, and vascular invasion. British Journal of Cancer (2012) 106, 1076-1082. doi:10.1038/bjc.2012.48 www.bjcancer.com Published online 21 February 2012 (C) 2012 Cancer Research UK (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
chemotherapy, prognosis, web-based, soft tissue sarcoma
in
British Journal of Cancer
volume
106
issue
6
pages
1076 - 1082
publisher
Nature Publishing Group
external identifiers
  • wos:000301541200009
  • scopus:84858294420
ISSN
1532-1827
DOI
10.1038/bjc.2012.48
language
English
LU publication?
yes
id
8d3359b2-870a-4e1d-a247-635a3384d540 (old id 2515542)
date added to LUP
2012-05-07 08:31:01
date last changed
2017-11-12 03:02:43
@article{8d3359b2-870a-4e1d-a247-635a3384d540,
  abstract     = {BACKGROUND: We developed a web-based, prognostic tool for extremity and trunk wall soft tissue sarcoma to predict 10-year sarcoma-specific survival. External validation was performed. METHODS: Patients referred during 1987-2002 to Helsinki University Central Hospital are included. External validation was obtained from the Lund University Hospital register. Cox proportional hazards models were fitted with the Helsinki data. The previously described model (SIN) includes size, necrosis, and vascular invasion. The extended model (SAM) includes the SIN factors and in addition depth, location, grade, and size on a continuous scale. Models were statistically compared according to accuracy (area under the ROC curve = AUC) of 10-year sarcoma-specific survival prediction. RESULTS: The AUC of the SAM model in 10-year survival prediction in the Helsinki patient series was 0.81 as compared with 0.74 for the SIN model (P = 0.0007). The corresponding AUCs in the external validation series were 0.77 for the SAM model and 0.73 for the SIN model (P = 0.03). A web-based calculator for the SAM model is available at http://www.prognomics.org/sam. CONCLUSION: Addition of grade, depth, and location as well as tumour size on a continuous scale significantly improved the accuracy of the prognostic model when compared with a model that includes only size, necrosis, and vascular invasion. British Journal of Cancer (2012) 106, 1076-1082. doi:10.1038/bjc.2012.48 www.bjcancer.com Published online 21 February 2012 (C) 2012 Cancer Research UK},
  author       = {Sampo, M. and Tarkkanen, M. and Tukiainen, E. and Popov, P. and Gustafson, Pelle and Lundin, M. and Bohling, T. and Blomqvist, C. and Lundin, J.},
  issn         = {1532-1827},
  keyword      = {chemotherapy,prognosis,web-based,soft tissue sarcoma},
  language     = {eng},
  number       = {6},
  pages        = {1076--1082},
  publisher    = {Nature Publishing Group},
  series       = {British Journal of Cancer},
  title        = {A web-based prognostic tool for extremity and trunk wall soft tissue sarcomas and its external validation},
  url          = {http://dx.doi.org/10.1038/bjc.2012.48},
  volume       = {106},
  year         = {2012},
}