Division of Allergy, Immunology, and BMT, University of California, San Francisco Benioff Children's Hospital, San Francisco, California, USA.
UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, USA.
Pediatr Blood Cancer. 2024 Sep;71(9):e30997. doi: 10.1002/pbc.30997. Epub 2024 Jun 12.
Sociodemographic and clinical factors associated with diagnostic delays in pediatric, adolescent, and young adult cancers are poorly understood.
Using the Optum Labs Data Warehouse's de-identified claims data for commercial health plan enrollees, we identified children (0-14 years) and adolescents/young adults (AYAs) (15-39 years) diagnosed with one of 10 common cancers from 2001 to 2017, who were continuously enrolled for 6 months preceding diagnosis. Time to diagnosis was calculated as days between first medical encounter with possible cancer symptoms and cancer diagnosis date. Median times from first symptom to diagnosis were compared using Wilcoxon rank sum test. Multivariable unconditional logistic regression identified sociodemographic factors associated with longer time (>3 months) to cancer diagnosis (from symptom onset).
Of 47,296 patients, 87% presented prior to diagnosis with symptoms. Patients with central nervous system (CNS) tumors were most likely to present with symptoms (93%), whereas patients with cervical cancer were least likely (70%). Symptoms varied by malignancy. Of patients with symptoms, thyroid (105 days [range: 50-154]) and cervical (104 days [range: 41-151]) cancer had the longest median time to diagnosis. Females and patients at either end of the age spectrum were more likely to experience diagnosis delays of more than 3 months.
In a commercially insured population, time to diagnosis varies by cancer type, age, and sex. Further work is needed to understand the patient, provider, and health system-level factors contributing to time from symptom onset to diagnosis, specifically in the very young children and the young adult patient population going forward.
儿科、青少年和青年癌症的诊断延迟与社会人口统计学和临床因素之间的关系尚未完全清楚。
利用 Optum Labs Data Warehouse 的去标识索赔数据,我们确定了 2001 年至 2017 年间被诊断患有 10 种常见癌症之一的儿童(0-14 岁)和青少年/青年(AYA)(15-39 岁),他们在诊断前的 6 个月内持续参加了商业健康计划。诊断时间的计算方法是从首次出现可能的癌症症状到癌症诊断日期的天数。使用 Wilcoxon 秩和检验比较首次症状至诊断的中位时间。多变量无条件逻辑回归确定与癌症诊断时间延长(从症状出现开始)相关的社会人口统计学因素。
在 47296 名患者中,87%的患者在诊断前出现症状。中枢神经系统(CNS)肿瘤患者最有可能出现症状(93%),而宫颈癌患者最不可能出现症状(70%)。症状因恶性肿瘤而异。有症状的患者中,甲状腺(105 天[范围:50-154])和宫颈癌(104 天[范围:41-151])的中位诊断时间最长。女性和处于年龄谱两端的患者更有可能出现超过 3 个月的诊断延迟。
在商业保险人群中,癌症类型、年龄和性别都会影响诊断时间。需要进一步研究以了解从症状出现到诊断的时间内,患者、提供者和卫生系统层面的因素,特别是在非常年幼的儿童和年轻成年患者群体中。