Literature DB >> 20187100

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

Yan Xing1, 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.   

Abstract

BACKGROUND: Conditional survival (CS) has emerged as a clinically relevant measure of prognosis for cancer survivors. The objective of this analysis was to provide melanoma-specific CS estimates to help clinicians promote more informed patient decision making.
METHODS: Patients with melanoma and at least 5 years of follow-up were identified from the Surveillance Epidemiology and End Results registry (1988-2000). By using the methods of Kaplan and Meier, stage-specific, 5-year CS estimates were independently calculated for survivors for each year after diagnosis. Stage-specific multivariate Cox regression models including baseline survivor functions were used to calculate adjusted melanoma-specific CS for different subgroups of patients further stratified by age, gender, race, marital status, anatomic tumor location, and tumor histology.
RESULTS: Five-year CS estimates for patients with stage I disease remained constant at 97% annually, while for patients with stages II, III, and IV disease, 5-year CS estimates from time 0 (diagnosis) to 5 years improved from 72% to 86%, 51% to 87%, and 19% to 84%, respectively. Multivariate CS analysis revealed that differences in stages II through IV CS based on age, gender, and race decreased over time.
CONCLUSIONS: Five-year melanoma-specific CS estimates improve dramatically over time for survivors with advanced stages of disease. These prognostic data are critical to patients for both treatment and nontreatment related life decisions. (c) 2010 American Cancer Society.

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Year:  2010        PMID: 20187100      PMCID: PMC2860044          DOI: 10.1002/cncr.24966

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


  28 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.  A family-based model to predict fear of recurrence for cancer survivors and their caregivers.

Authors:  Suzanne Mellon; Trace S Kershaw; Laurel L Northouse; Laurie Freeman-Gibb
Journal:  Psychooncology       Date:  2007-03       Impact factor: 3.894

3.  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

4.  Validation of cause-of-death certification for outpatient cancers: the contrasting cases of melanoma and mycosis fungoides.

Authors:  M A Weinstock; J F Reynes
Journal:  Am J Epidemiol       Date:  1998-12-15       Impact factor: 4.897

5.  Conditional survival among patients with carcinoma of the lung.

Authors:  R M Merrill; D E Henson; M Barnes
Journal:  Chest       Date:  1999-09       Impact factor: 9.410

6.  Quality of life in breast cancer survivors as identified by focus groups.

Authors:  B R Ferrell; M M Grant; B Funk; S Otis-Green; N Garcia
Journal:  Psychooncology       Date:  1997-03       Impact factor: 3.894

7.  Conditional Survival in Rectal Cancer: A SEER Database Analysis.

Authors:  Samuel J Wang; Clifton D Fuller; Rachel Emery; Charles R Thomas
Journal:  Gastrointest Cancer Res       Date:  2007-05

8.  Fear of cancer recurrence in patients undergoing definitive treatment for prostate cancer: results from CaPSURE.

Authors:  Shilpa S Mehta; Deborah P Lubeck; David J Pasta; Mark S Litwin
Journal:  J Urol       Date:  2003-11       Impact factor: 7.450

9.  Conditional survival in ovarian cancer: results from the SEER dataset 1988-2001.

Authors:  Mehee Choi; Clifton D Fuller; Charles R Thomas; Samuel J Wang
Journal:  Gynecol Oncol       Date:  2008-03-07       Impact factor: 5.482

10.  Influence of death certificate errors on cancer mortality trends.

Authors:  D G Hoel; E Ron; R Carter; K Mabuchi
Journal:  J Natl Cancer Inst       Date:  1993-07-07       Impact factor: 13.506

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  33 in total

1.  Implications of age and conditional survival estimates for patients with melanoma.

Authors:  Mousumi Banerjee; Christopher D Lao; Lauren M Wancata; Daniel G Muenz; Megan R Haymart; Sandra L Wong
Journal:  Melanoma Res       Date:  2016-02       Impact factor: 3.599

Review 2.  Vemurafenib for the treatment of locally advanced or metastatic BRAF V600 mutation-positive malignant melanoma: a NICE single technology appraisal.

Authors:  Sophie Beale; Rumona Dickson; Adrian Bagust; Michaela Blundell; Yenal Dundar; Angela Boland; Ernie Marshall; Ruth Plummer; Chris Proudlove
Journal:  Pharmacoeconomics       Date:  2013-12       Impact factor: 4.981

3.  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

4.  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

Review 5.  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

Review 6.  Long-term follow-up for melanoma patients: is there any evidence of a benefit?

Authors:  Natasha M Rueth; Kate D Cromwell; Janice N Cormier
Journal:  Surg Oncol Clin N Am       Date:  2015-01-24       Impact factor: 3.495

7.  Metabolomic identification of diagnostic serum-based biomarkers for advanced stage melanoma.

Authors:  A W L Bayci; D A Baker; A E Somerset; O Turkoglu; Z Hothem; R E Callahan; R Mandal; B Han; T Bjorndahl; D Wishart; R Bahado-Singh; S F Graham; R Keidan
Journal:  Metabolomics       Date:  2018-08-03       Impact factor: 4.290

Review 8.  Variability in melanoma post-treatment surveillance practices by country and physician specialty: a systematic review.

Authors:  Kate D Cromwell; Merrick I Ross; Yan Xing; Jeffrey E Gershenwald; Richard E Royal; Anthony Lucci; Jeffrey E Lee; Janice N Cormier
Journal:  Melanoma Res       Date:  2012-10       Impact factor: 3.599

9.  Estimated cause-specific survival continues to improve over time in patients with chondrosarcoma.

Authors:  Kyle R Duchman; Charles F Lynch; Joseph A Buckwalter; Benjamin J Miller
Journal:  Clin Orthop Relat Res       Date:  2014-04-05       Impact factor: 4.176

10.  An individualized conditional survival calculator for patients with rectal cancer.

Authors:  Tawnya L Bowles; Chung-Yuan Hu; Nancy Y You; John M Skibber; Miguel A Rodriguez-Bigas; George J Chang
Journal:  Dis Colon Rectum       Date:  2013-05       Impact factor: 4.585

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