Conditional survival for intrahepatic cholangiocarcinoma: SEER database analysis

• Published in: Journal of clinical oncology Vol. 32; no. 3_suppl; p. 201
• Main Authors: Muzaffar, Mahvish, Kaur, Sandeep, Afroz, Fir, Lone, Maqbool, Khan, Nazir Ahmad, Teli, MA
• Format: Journal Article
• Language: English
• Published: 20.01.2014
• ISSN: 0732-183X; 1527-7755
• DOI: 10.1200/jco.2014.32.3_suppl.201

Abstract only 201 Background: Conditional survival can be useful for estimating survival probability for patients who have survived one or more years after the initial diagnosis. It reflects the possible change in risk profile over time especially for malignancies with poor outcome. Methods: The Surveillance, Epidemiology and End Results database was reviewed for intrahepatic cholangiocarcinoma. We reviewed data for all intrahepatic cholangiocarcinoma from year 2000-2010. Data of 8278 patients was extracted from SEER database. We sub stratified using factors like age <50 versus ≥50, gender, grade, stage, primary site surgery. SEER*Stat: Version *8.1.2 software was used to calculate conditional survival. Conditional survival is defined as the calculated probability of survival after having already survived a specified number of years from diagnosis. Results: The analysis showed that Conditional survival (CS) probability for intrahepatic cholangiocarcinoma increased from 33.25 to 85% at 5 years for all age groups conditional to surviving one year after diagnoses. For age group <50 years CS increased from 50.4% to 86.9%, while for age group >50yrs from 31.4% to 84.5%.The conditional survival for well differentiated histology increased from 60.7% to 81.0%, moderately differentiated from 53.8% to 87.7%, poorly differentiated from 37.1% to 83.6% .The conditional survival for localized stage increased from 50.7% to 88.8%, regional 40.6% to 77.7% and distant 19.0% to 65.6%.Majority of cases had missing data with regard to primary site surgery. 1707 cases had documented primary site surgery. Conditional survival for this group increased from 30.7% to 82.8% subject to surviving one year after diagnosis. Conclusions: There are several limitations associated with these results due to missing data in SEER. Nonetheless these results emphasize the trend of patient’s surviving more than 1 year after diagnosis have higher conditional survival probability. CS may provide more relevant prognostic information as compared to traditional survival estimates.