Literature DB >> 11596040

Conditional median survival of patients with advanced carcinoma: surveillance, epidemiology, and end results data.

I Kato1, R K Severson, A G Schwartz.   

Abstract

BACKGROUND: Conditional survival is clinically useful, particularly for patients with malignant disease who have a poor prognosis. However, there are no published data on the conditional median survival of patients with advanced carcinoma on a population basis.
METHODS: Data on 217,573 patients with breast, colorectal, lung, or prostate carcinoma who were newly diagnosed with distant disease between 1973 and 1995 and who were followed through the end of 1997 were extracted from the Surveillance, Epidemiology, and End Results (SEER) data base of the National Cancer Institute. The Kaplan-Meier method was employed to estimate conditional median survival and 95% confidence intervals at 0-5 years after the initial diagnosis.
RESULTS: The conditional median survival increased as time elapsed after the initial diagnosis. The increase was slowest and almost leveled off among patients with prostate carcinoma. The median survival of patients with breast carcinoma increased relatively linearly with time, i.e., 5-6 months per year. Conversely, there was a rapid increase in the conditional median survival according to the amount of time since diagnosis for patients with lung and colorectal carcinoma. The trend was most pronounced for patients with colorectal carcinoma. At 5 years after the initial diagnosis, the remaining median survival was longest for patients with colorectal carcinoma, almost 6 years (71.5 months), followed by patients with lung carcinoma (52.5 months), breast carcinoma (42.5 months), and prostate carcinoma (34.5 months). Although race was a correlate with initial survival, gender and age had more impact on late conditional survival.
CONCLUSIONS: The conditional median survival provides useful and encouraging information for patients who survive with advanced disease and for healthcare professionals who treat these patients. However, the information should be used carefully, taking the limitations of these data into account. Copyright 2001 American Cancer Society.

Entities:  

Mesh:

Year:  2001        PMID: 11596040     DOI: 10.1002/1097-0142(20011015)92:8<2211::aid-cncr1565>3.0.co;2-w

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  25 in total

1.  Conditional survival in patients with pancreatic ductal adenocarcinoma resected with curative intent.

Authors:  Skye C Mayo; Hari Nathan; John L Cameron; Kelly Olino; Barish H Edil; Joseph M Herman; Kenzo Hirose; Richard D Schulick; Michael A Choti; Christopher L Wolfgang; Timothy M Pawlik
Journal:  Cancer       Date:  2011-09-20       Impact factor: 6.860

2.  Conditional survival among cancer patients in the United States.

Authors:  Ray M Merrill; Bradley D Hunter
Journal:  Oncologist       Date:  2010-07-20

3.  End-of-life care discussions among patients with advanced cancer: a cohort study.

Authors:  Jennifer W Mack; Angel Cronin; Nathan Taback; Haiden A Huskamp; Nancy L Keating; Jennifer L Malin; Craig C Earle; Jane C Weeks
Journal:  Ann Intern Med       Date:  2012-02-07       Impact factor: 25.391

4.  Conditional survival in gastric cancer: a SEER database analysis.

Authors:  Samuel J Wang; Rachel Emery; Clifton D Fuller; Jong-Sung Kim; Dean F Sittig; Charles R Thomas
Journal:  Gastric Cancer       Date:  2007-09-26       Impact factor: 7.370

5.  Conditional survival in patients treated with vascular endothelial growth factor-targeted therapy for advanced renal cell carcinoma.

Authors:  Y Zhu; Y P Hong; H L Zhang; G H Shi; W J Xiao; Z H Wang; X D Yao; S L Zhang; B Dai; D W Ye
Journal:  J Cancer Res Clin Oncol       Date:  2012-06-29       Impact factor: 4.553

6.  An interactive tool for individualized estimation of conditional survival in rectal cancer.

Authors:  Samuel J Wang; Amanda R Wissel; Join Y Luh; C David Fuller; Jayashree Kalpathy-Cramer; Charles R Thomas
Journal:  Ann Surg Oncol       Date:  2011-01-05       Impact factor: 5.344

7.  Treatment patterns, outcomes and costs among elderly patients with chronic myeloid leukaemia: a population-based analysis.

Authors:  Joseph Menzin; Kathleen Lang; Craig C Earle; Alastair Glendenning
Journal:  Drugs Aging       Date:  2004       Impact factor: 3.923

8.  Associations between end-of-life discussion characteristics and care received near death: a prospective cohort study.

Authors:  Jennifer W Mack; Angel Cronin; Nancy L Keating; Nathan Taback; Haiden A Huskamp; Jennifer L Malin; Craig C Earle; Jane C Weeks
Journal:  J Clin Oncol       Date:  2012-11-13       Impact factor: 44.544

Review 9.  Effects of Yttrium-90 selective internal radiation therapy on non-conventional liver tumors.

Authors:  Andrew Kuei; Sammy Saab; Sung-Ki Cho; Stephen T Kee; Edward Wolfgang Lee
Journal:  World J Gastroenterol       Date:  2015-07-21       Impact factor: 5.742

10.  Radioembolisation using yttrium 90 (Y-90) in patients affected by unresectable hepatic metastases.

Authors:  R Cianni; C Urigo; E Notarianni; A Saltarelli; A D'Agostini; M Iozzino; T Dornbusch; E Cortesi
Journal:  Radiol Med       Date:  2010-01-20       Impact factor: 3.469

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