期刊论文详细信息
Current Oncology
Quantifying treatment delays in adolescents and young adults with cancer at McGill University
M. Stavrides-Eid1  A. Mamo1  Y. Xu1  A. Baig1  Y.S. Rho1  M. Cardoso1  P. Kavan1  W.M. Shams1 
[1] Segal Cancer Centre, Jewish General Hospital, McGill University
关键词: Adolescents;    young adults;    treatment delay;    overall survival;   
DOI  :  
学科分类:肿瘤学
来源: Multimed, Inc.
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【 摘 要 】

Background:Since the end of the 1980s, the magnitude of survival prolongation or mortality reduction has not been the same for adolescents and young adults (ayas) with cancer as for their older and younger counterparts. Precise reasons for those observations are unknown, but the differences have been attributed in part to delays in diagnosis and treatment. In 2003 at the Jewish General Hospital, we developed the first Canadian multidisciplinary aya oncology clinic to better serve this unique patient population. The aim of the present study was to develop an approach to quantify diagnosis delays in our aya patients and to study survival in relation to the observed delay. Methods:In a retrospective chart review, we collected information about delays, treatment efficacy, and obstacles to treatment for patients seen at our aya clinic. Results:From symptom onset, median time to first health care contact was longer for girls and young women (62 days) than for boys and young men (6 days). Median time from symptom onset to treatment was 173 days; time from first health care contact to diagnosis was the largest contributor to that duration. Delays in diagnosis were shorter for patients who initially presented to the emergency room, but compared with patients whose first health contact was of another type, patients presenting to the emergency room were 3 times more likely to die from their disease. Conclusions:Delays in diagnosis are frequently reported in ayas with cancer, but the duration of the delay was unrelated to survival in our sample. Application of this approach to larger prospective samples is warranted to better understand the relation between treatment delay and survival in ayas—and in other cancer patient groups. 

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