Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas
Background The accurate prognosis for patients with resectable pancreatic adenocarcinomas requires the incorporation of more factors than those included in AJCC TNM system. Methods We identified 218 patients diagnosed with stage I and II pancreatic adenocarcinoma at NewYork-Presbyterian Hospital/Col...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2009-01-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.4137/CIN.S3835 |
| _version_ | 1818035417473089536 |
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| author | Taxiarchis Botsis Valsamo K. Anagnostou Gunnar Hartvigsen George Hripcsak Chunhua Weng |
| author_facet | Taxiarchis Botsis Valsamo K. Anagnostou Gunnar Hartvigsen George Hripcsak Chunhua Weng |
| author_sort | Taxiarchis Botsis |
| collection | DOAJ |
| description | Background The accurate prognosis for patients with resectable pancreatic adenocarcinomas requires the incorporation of more factors than those included in AJCC TNM system. Methods We identified 218 patients diagnosed with stage I and II pancreatic adenocarcinoma at NewYork-Presbyterian Hospital/Columbia University Medical Center (1999 to 2009). Tumor and clinical characteristics were retrieved and associations with survival were assessed by univariate Cox analysis. A multivariable model was constructed and a prognostic score was calculated; the prognostic strength of our model was assessed with the concordance index. Results Our cohort had a median age of 67 years and consisted of 49% men; the median follow-up time was 14.3 months and the 5-year survival 3.6%. Age, tumor differentiation and size, alkaline phosphatase, albumin and CA 19–9 were the independent factors of the final multivariable model; patients were thus classified into low (n = 14, median survival = 53.7 months), intermediate (n = 124, median survival = 19.7 months) and high risk groups (n = 80, median survival = 12.3 months). The prognostic classification of our model remained significant after adjusting for adjuvant chemotherapy and the concordance index was 0.73 compared to 0.59 of the TNM system. Conclusion Our prognostic model was accurate in stratifying patients by risk and could be incorporated into clinical decisions. |
| first_indexed | 2024-12-10T06:54:43Z |
| format | Article |
| id | doaj.art-0d025734efa24a06889b92bea9ca9fb8 |
| institution | Directory Open Access Journal |
| issn | 1176-9351 |
| language | English |
| last_indexed | 2024-12-10T06:54:43Z |
| publishDate | 2009-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Cancer Informatics |
| spelling | doaj.art-0d025734efa24a06889b92bea9ca9fb82022-12-22T01:58:28ZengSAGE PublishingCancer Informatics1176-93512009-01-01710.4137/CIN.S3835Modeling Prognostic Factors in Resectable Pancreatic AdenocarcinomasTaxiarchis Botsis0Valsamo K. Anagnostou1Gunnar Hartvigsen2George Hripcsak3Chunhua Weng4Department of Computer Science, University of Tromsø, 9037 Tromsø, Norway.Department of Pathology, Yale University School of Medicine, 06511 New Haven, USA.Department of Computer Science, University of Tromsø, 9037 Tromsø, Norway.Department of Biomedical Informatics, Columbia University, 10032 New York, USA.Department of Biomedical Informatics, Columbia University, 10032 New York, USA.Background The accurate prognosis for patients with resectable pancreatic adenocarcinomas requires the incorporation of more factors than those included in AJCC TNM system. Methods We identified 218 patients diagnosed with stage I and II pancreatic adenocarcinoma at NewYork-Presbyterian Hospital/Columbia University Medical Center (1999 to 2009). Tumor and clinical characteristics were retrieved and associations with survival were assessed by univariate Cox analysis. A multivariable model was constructed and a prognostic score was calculated; the prognostic strength of our model was assessed with the concordance index. Results Our cohort had a median age of 67 years and consisted of 49% men; the median follow-up time was 14.3 months and the 5-year survival 3.6%. Age, tumor differentiation and size, alkaline phosphatase, albumin and CA 19–9 were the independent factors of the final multivariable model; patients were thus classified into low (n = 14, median survival = 53.7 months), intermediate (n = 124, median survival = 19.7 months) and high risk groups (n = 80, median survival = 12.3 months). The prognostic classification of our model remained significant after adjusting for adjuvant chemotherapy and the concordance index was 0.73 compared to 0.59 of the TNM system. Conclusion Our prognostic model was accurate in stratifying patients by risk and could be incorporated into clinical decisions.https://doi.org/10.4137/CIN.S3835 |
| spellingShingle | Taxiarchis Botsis Valsamo K. Anagnostou Gunnar Hartvigsen George Hripcsak Chunhua Weng Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas Cancer Informatics |
| title | Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas |
| title_full | Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas |
| title_fullStr | Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas |
| title_full_unstemmed | Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas |
| title_short | Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas |
| title_sort | modeling prognostic factors in resectable pancreatic adenocarcinomas |
| url | https://doi.org/10.4137/CIN.S3835 |
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