Abstract：
Since the 1970s, Italian pediatric oncologists have collaborated through the Italian Association for Pediatric Hematology Oncology (AIEOP) network using a common centralized system for the registration of childhood cancer, known as Model 1.01 (Mod. 1.01). In this study, we report on recruitment trends, extra-regional migration and changes in outcome over time in the Italian population of children (0-14 years) and adolescents (15-19 years) registered and treated within the national AIEOP network in the period between 1989 and 2017. In almost 30 years, a cohort of 43,564 patients with a neoplasia diagnosis was registered in Mod. 1.01. The analysis of national extra-regional migration showed that patients tend to migrate from the South to the North and, to a lesser extent, to the Center of the country. During the study period, migration apparently decreased, especially for lymphohematopoietic diseases, whereas it remained substantial for solid tumors. Our data showed a progressive and significant increase in the cumulative survival 5 years after diagnosis since the 1990s, reaching almost 84% for all patients diagnosed in the last decade. Survival rates of Mod. 1.01 patients are similar to those provided by the main national and international reports showing childhood cancer surveillance estimates. The AIEOP Mod 1.01 has proved to be an invaluable tool from both an epidemiological and a health policy point of view, allowing us, in this study, to examine the survival experience of the largest cohort of Italian pediatric cancer patients with a very long follow-up.
摘要：
自1970年代以来,意大利儿科肿瘤学家通过意大利小儿血液学协会（AIEOP）网络合作，使用通用的儿童癌症登记集中系统，被称为模型1.01（Mod。1.01).在这项研究中,我们报告招聘趋势，1989年至2017年期间,在国家AIEOP网络中登记和治疗的意大利儿童(0-14岁)和青少年(15-19岁)的地区外迁移和随时间变化的结局.在将近30年的时间里,在Mod中登记了43564例诊断为瘤形成的患者。1.01.对国家区域外迁移的分析表明，患者倾向于从南方迁移到北方，在较小程度上，到国家的中心。在学习期间,移民明显减少，尤其是淋巴造血疾病,而它仍然是实质性的实体瘤。我们的数据显示，自1990年代以来，诊断后5年的累积生存率逐渐显着增加，在过去十年中诊断出的所有患者几乎达到84%。Mod的存活率。1.01名患者与主要的国家和国际报告提供的儿童癌症监测估计相似。从流行病学和卫生政策的角度来看，AIEOPMod1.01已被证明是一种宝贵的工具，允许我们,在这项研究中，研究最大的意大利儿科癌症患者队列的生存体验，随访时间很长。
