PURPOSE: To develop more evidence-based guidelines for the frequency of patient follow-up after treatment of localized (American Joint Committee on Cancer [AJCC] stage I or II) melanoma. METHODS: We used data from Melanoma Institute Australia on an inception cohort of 3,081 consecutive patients first diagnosed with stage I or II melanoma between January 1985 and December 2009. Kaplan-Meier curves and Cox models were used to characterize the time course and predictors for recurrence and new primaries. We modeled the delay in diagnosis of recurrence or new primary as well as the number of monitoring visits required using two monitoring schedules: first, according to 2008 Australian and New Zealand guidelines and, second, with fewer visits, especially for those at lowest risk of recurrence. RESULTS: For every 1,000 patients beginning follow-up, 229 developed recurrence and 61 developed new primary within 10 years. There was only a small difference in modeled delay in diagnosis (extra 44.9 and 9.6 patients per 1,000 for recurrence and new primary, respectively, with delay greater than 2 months) using a schedule that requires far fewer visits (3,000 fewer visits per 1,000 patients) than recommended by current guidelines. AJCC substage was the most important predictor of recurrence, whereas age and date of primary diagnosis were important predictors of developing new primary. CONCLUSION: By providing less intensive monitoring, more efficient follow-up strategies are possible. Fewer visits with a more focused approach may address the needs of patients and clinicians to detect recurrent or new melanoma.
PURPOSE: To develop more evidence-based guidelines for the frequency of patient follow-up after treatment of localized (American Joint Committee on Cancer [AJCC] stage I or II) melanoma. METHODS: We used data from Melanoma Institute Australia on an inception cohort of 3,081 consecutive patients first diagnosed with stage I or II melanoma between January 1985 and December 2009. Kaplan-Meier curves and Cox models were used to characterize the time course and predictors for recurrence and new primaries. We modeled the delay in diagnosis of recurrence or new primary as well as the number of monitoring visits required using two monitoring schedules: first, according to 2008 Australian and New Zealand guidelines and, second, with fewer visits, especially for those at lowest risk of recurrence. RESULTS: For every 1,000 patients beginning follow-up, 229 developed recurrence and 61 developed new primary within 10 years. There was only a small difference in modeled delay in diagnosis (extra 44.9 and 9.6 patients per 1,000 for recurrence and new primary, respectively, with delay greater than 2 months) using a schedule that requires far fewer visits (3,000 fewer visits per 1,000 patients) than recommended by current guidelines. AJCC substage was the most important predictor of recurrence, whereas age and date of primary diagnosis were important predictors of developing new primary. CONCLUSION: By providing less intensive monitoring, more efficient follow-up strategies are possible. Fewer visits with a more focused approach may address the needs of patients and clinicians to detect recurrent or new melanoma.
Authors: Enrique Espinosa; Alfonso Berrocal; José Antonio López Martín; María González Cao; Pablo Cerezuela; José Ignacio Mayordomo; Salvador Martín Algarra Journal: Clin Transl Oncol Date: 2012-05 Impact factor: 3.405
Authors: Lena A von Schuckmann; Maria Celia B Hughes; Reza Ghiasvand; Maryrose Malt; Jolieke C van der Pols; Vanessa L Beesley; Kiarash Khosrotehrani; B Mark Smithers; Adele C Green Journal: JAMA Dermatol Date: 2019-06-01 Impact factor: 10.282
Authors: Wei-Yin Lim; Rachael L Morton; Robin M Turner; Marisa C Jenkins; Pascale Guitera; Les Irwig; Angela C Webster; Mbathio Dieng; Robyn P M Saw; Donald Low; Cynthia Low; Katy J L Bell Journal: JAMA Dermatol Date: 2018-04-01 Impact factor: 10.282
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
Authors: April K S Salama; Nicole de Rosa; Randall P Scheri; Scott K Pruitt; James E Herndon; Jennifer Marcello; Douglas S Tyler; Amy P Abernethy Journal: PLoS One Date: 2013-03-13 Impact factor: 3.240
Authors: Lucie Rychetnik; Rachael L Morton; Kirsten McCaffery; John F Thompson; Scott W Menzies; Les Irwig Journal: BMC Health Serv Res Date: 2012-12-19 Impact factor: 2.655