Literature DB >> 19262713

Conditional Survival in Rectal Cancer: A SEER Database Analysis.

Samuel J Wang1, Clifton D Fuller, Rachel Emery, Charles R Thomas.   

Abstract

PURPOSE: To provide an analysis of conditional survival (CS) in rectal cancer patients. Cancer survival is typically reported in terms of survival from time of diagnosis. CS can provide improved prognostic information for patients surviving a given period after diagnosis.
METHODS: Data from 36,321 rectal cancer patients diagnosed between 1988 and 1998 were analyzed using the Surveillance, Epidemiology, and End Results (SEER 17) database. Observed 5-year CS rates according to disease stage, age, sex, and race were calculated using the life-table method.
RESULTS: As survival from diagnosis increased from 0 to 5 years, the 5-year observed CS changed from 73% to 74% for stage I disease, 56% to 66% for stage II, 47% to 65% for stage III, and 6% to 48% for stage IV. Patients aged 65 years and over at diagnosis had lower CS than those under 65 years, both at diagnosis (45% vs. 61%) and at 5 years from diagnosis (59% vs. 81%). Men had slightly lower 5-year survival than women, both at diagnosis (50% vs. 53%) and after 5 years (68% vs. 71%). Black patients had slightly lower survival than white patients for nearly all time points and stages.
CONCLUSION: For rectal cancer patients who survive a given period of time after diagnosis, the largest increases in CS are in patients with advanced stage disease and for those under 65 years of age. CS can provide more accurate prognostic information for rectal cancer patients who survive a given period after diagnosis.

Entities:  

Year:  2007        PMID: 19262713      PMCID: PMC2632815     

Source DB:  PubMed          Journal:  Gastrointest Cancer Res        ISSN: 1934-7820


  15 in total

1.  The conditional survival statistics for survivors with primary supratentorial astrocytic tumors.

Authors:  S L Hwang; Y H Yang; A S Lieu; M C Chuang; S J Chang; Y Y Chang; H J Lin; S L Howng
Journal:  J Neurooncol       Date:  2000-12       Impact factor: 4.130

2.  Conditional survival of 56,268 patients with breast cancer.

Authors:  D E Henson; L A Ries; M T Carriaga
Journal:  Cancer       Date:  1995-07-15       Impact factor: 6.860

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

Authors:  I Kato; R K Severson; A G Schwartz
Journal:  Cancer       Date:  2001-10-15       Impact factor: 6.860

4.  Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer.

Authors:  Michael W Kattan
Journal:  Curr Opin Urol       Date:  2003-03       Impact factor: 2.309

Review 5.  Cancer survival and incidence from the Surveillance, Epidemiology, and End Results (SEER) program.

Authors:  Lynn A Gloeckler Ries; Marsha E Reichman; Denise Riedel Lewis; Benjamin F Hankey; Brenda K Edwards
Journal:  Oncologist       Date:  2003

6.  A nomogram for predicting the likelihood of additional nodal metastases in breast cancer patients with a positive sentinel node biopsy.

Authors:  Kimberly J Van Zee; Donna-Marie E Manasseh; Jose L B Bevilacqua; Susan K Boolbol; Jane V Fey; Lee K Tan; Patrick I Borgen; Hiram S Cody; Michael W Kattan
Journal:  Ann Surg Oncol       Date:  2003-12       Impact factor: 5.344

7.  Conditional survival of patients with the four major histologic subgroups of lung cancer in Denmark.

Authors:  Halla Skuladottir; Jorgen H Olsen
Journal:  J Clin Oncol       Date:  2003-08-15       Impact factor: 44.544

8.  Prognostic nomogram for patients undergoing resection for adenocarcinoma of the pancreas.

Authors:  Murray F Brennan; Michael W Kattan; David Klimstra; Kevin Conlon
Journal:  Ann Surg       Date:  2004-08       Impact factor: 12.969

9.  Conditional survival estimates in 34,963 patients with invasive carcinoma of the colon.

Authors:  R M Merrill; D E Henson; L A Ries
Journal:  Dis Colon Rectum       Date:  1998-09       Impact factor: 4.585

Review 10.  Use of nomograms to predict the risk of disease recurrence after definitive local therapy for prostate cancer.

Authors:  Christopher J Diblasio; Michael W Kattan
Journal:  Urology       Date:  2003-12-29       Impact factor: 2.649

View more
  22 in total

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

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

2.  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

3.  Precision surgery for older cancer patients.

Authors:  I Montroni; R A Audiosio
Journal:  G Chir       Date:  2017 Mar-Apr

4.  Prediction of lung cancer patient survival via supervised machine learning classification techniques.

Authors:  Chip M Lynch; Behnaz Abdollahi; Joshua D Fuqua; Alexandra R de Carlo; James A Bartholomai; Rayeanne N Balgemann; Victor H van Berkel; Hermann B Frieboes
Journal:  Int J Med Inform       Date:  2017-09-25       Impact factor: 4.046

5.  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

6.  Conditional survival estimates improve over time for patients with advanced melanoma: results from a population-based analysis.

Authors:  Yan Xing; George J Chang; Chung-Yuan Hu; Robert L Askew; Merrick I Ross; Jeffrey E Gershenwald; Jeffrey E Lee; Paul F Mansfield; Anthony Lucci; Janice N Cormier
Journal:  Cancer       Date:  2010-05-01       Impact factor: 6.860

7.  Conditional survival is greater than overall survival at diagnosis in patients with osteosarcoma and Ewing's sarcoma.

Authors:  Benjamin J Miller; Charles F Lynch; Joseph A Buckwalter
Journal:  Clin Orthop Relat Res       Date:  2013-07-03       Impact factor: 4.176

8.  Conditional survival in advanced colorectal cancer and surgery.

Authors:  Lauren M Wancata; Mousumi Banerjee; Daniel G Muenz; Megan R Haymart; Sandra L Wong
Journal:  J Surg Res       Date:  2015-10-23       Impact factor: 2.192

Review 9.  Staging and prognosis of cutaneous melanoma.

Authors:  Paxton V Dickson; Jeffrey E Gershenwald
Journal:  Surg Oncol Clin N Am       Date:  2011-01       Impact factor: 3.495

10.  Conditional Survival of Esophageal Cancer: An Analysis from the SEER Registry (1988-2011).

Authors:  Ellen Kim; Siran Koroukian; Charles R Thomas
Journal:  J Thorac Oncol       Date:  2015-10       Impact factor: 15.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.