|Grant Number:||5R01CA127328-03 Interpret this number|
|Primary Investigator:||Cormier, Janice|
|Organization:||University Of Tx Md Anderson Can Ctr|
|Project Title:||Effective Surveillance Strategies for Melanoma Patients|
DESCRIPTION (provided by applicant): Evidence-based surveillance strategies for melanoma survivors do not exist. Given the increasing incidence of melanoma and the rapid advances in health care technology, the costs of caring for such persons are rising. More than 90% of patients with melanoma are diagnosed before the development of distant metastasis and are potentially curable. However, up to 50% of all melanoma patients may experience tumor recurrences. The early detection of recurrent melanoma, particularly locoregional disease, at a time when it is amenable to surgical resection is important to improve patient outcome. Decision-analytic models which can assimilate data from a number of sources provide an innovative approach to examining outcomes in a setting where clinical trials are difficult to perform. We propose to use a decision-analytic Markov model created to simulate the stage-specific natural history of contemporary patients with melanoma. By applying techniques of Bayesian meta-analysis we will assimilate patient-level data from the literature to determine the sensitivity of various diagnostic imaging modalities. Various surveillance strategies, including those proposed in current protocols, (e.g., clinical evaluation, nodal ultrasonography, computed and positron emission tomography) and follow-up intervals (3 months to 2 years) will be evaluated and compared in patients with stages I, II, and III melanoma. Specific effectiveness outcomes will include: the number and type of recurrences detected, number of lives saved, and quality-adjusted life years. In addition, the total lifetime costs per surveillance strategy, incremental cost-effectiveness, and net benefit will be defined for each stage-specific strategy. To evaluate model and parameter uncertainty, a probabilistic sensitivity analysis will be performed. SEER data and costs from Medicare will be used to calibrate the natural history model and to examine the outcomes of various surveillance strategies in the population. Collectively, the outcomes from this proposal will provide evidence-based guidelines for surveillance, which in turn will promote the cost-effective use of health care resources.
Long-term follow-up for melanoma patients: is there any evidence of a benefit?
Authors: Rueth NM, Cromwell KD, Cormier JN
Source: Surg Oncol Clin N Am, 2015 Apr;24(2), p. 359-77.
EPub date: 2015 Jan 24.
Is surveillance imaging effective for detecting surgically treatable recurrences in patients with melanoma? A comparative analysis of stage-specific surveillance strategies.
Authors: Rueth NM, Xing Y, Chiang YJ, Cromwell KD, Ross MI, Lee JE, Gershenwald JE, Royal RE, Cormier JN
Source: Ann Surg, 2014 Jun;259(6), p. 1215-22.
Assessment of patient-reported outcomes in patients with melanoma.
Authors: Cormier JN, Askew RL
Source: Surg Oncol Clin N Am, 2011 Jan;20(1), p. 201-13.
Contemporary diagnostic imaging modalities for the staging and surveillance of melanoma patients: a meta-analysis.
Authors: Xing Y, Bronstein Y, Ross MI, Askew RL, Lee JE, Gershenwald JE, Royal R, Cormier JN
Source: J Natl Cancer Inst, 2011 Jan 19;103(2), p. 129-42.
EPub date: 2010 Nov 16.
Conditional survival estimates improve over 5 years for melanoma survivors with node-positive disease.
Authors: Bowles TL, Xing Y, Hu CY, Mungovan KS, Askew RL, Chang GJ, Gershenwald JE, Lee JE, Mansfield PF, Ross MI, Cormier JN
Source: Ann Surg Oncol, 2010 Aug;17(8), p. 2015-23.
EPub date: 2010 Apr 6.
Prospective assessment of postoperative complications and associated costs following inguinal lymph node dissection (ILND) in melanoma patients.
Authors: Chang SB, Askew RL, Xing Y, Weaver S, Gershenwald JE, Lee JE, Royal R, Lucci A, Ross MI, Cormier JN
Source: Ann Surg Oncol, 2010 Oct;17(10), p. 2764-72.
EPub date: 2010 Mar 25.
Conditional survival estimates improve over time for patients with advanced melanoma: results from a population-based analysis.
Authors: Xing Y, Chang GJ, Hu CY, Askew RL, Ross MI, Gershenwald JE, Lee JE, Mansfield PF, Lucci A, Cormier JN
Source: Cancer, 2010 May 1;116(9), p. 2234-41.
Lymph node ratio predicts disease-specific survival in melanoma patients.
Authors: Xing Y, Badgwell BD, Ross MI, Gershenwald JE, Lee JE, Mansfield PF, Lucci A, Cormier JN
Source: Cancer, 2009 Jun 1;115(11), p. 2505-13.