Close
Help
Need Help?



Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas

Submit a Paper


Libertas Analytics


999 Article Views

Publication Date: 20 Jan 2010

Journal: Cancer Informatics 2009:7 281-291

CI
journal

278,565 Article Views

2,650,173 Libertas Article Views

More Statistics

Abstract 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.


Post a Comment

x close

Discussion Add A Comment
No comments yet...Be the first to comment.


share on

Our Service Promise

  • Prompt Processing (Average 3 Weeks)
  • Fair & Constructive Peer Review
  • Professional Author Service
  • High Visibility
  • High Readership
  • What Our Authors Say

Quick Links

Follow Us We make it easy to find new research papers. RSS Feeds Email Alerts Twitter

BROWSE CATEGORIES
Our Testimonials
I had an excellent experience publishing our review article in Clinical Medicine Reviews.  The managing editor was very helpful and the process was very timely and transparent.
Professor Jonathan A. Bernstein (University of Cincinnati College of Medicine, Division of Immunology, Allergy Section, Cincinnati, OH, USA) What our authors say