Study on the Disease Spectrum Characteristics of Malignant Tumors in Children and Adolescents in a Tertiary Hospital in Jiangsu Province
Objectives This study aims to analyze the disease spectrum of malignant tumors in children and adolescents in a tertiary hospital in Jiangsu Province from January 1,2014 to October 31,2022,so as to provide data support for government health departments to formulate local policies for the prevention and treatment of malignant tumors in children and adolescents.Methods Based on the diagnostic information in 84,958 electronic medical records of discharged patients from January 1,2014 to October 31,2022,209 patients with initial diagnosis of malignant tumors in children and adolescents were screened.The disease spectrum characteristics were explored,than statistical description and stratified analysis were conducted.Results Among the 209 children and adolescent malignant tumor patients,100 were male(47.85％)and 109 were female(52.15％).The top three diseases were leukemia in 100 cases(47.85％),thyroid cancer in 20 cases(9.57％),and lymphoma in 18 cases(8.61％).Among childhood malignant tumors,there were 77 cases(66.96％)of hematological diseases and 38 cases(33.04％)of solid tumors.Among adolescent malignant tumors,there were 41 cases(42.7％)of hematological diseases and 55 cases(57.3％)of solid tumors.There were differences in the distribution of tumor types among children and adolescents(x2=11.52,P＜0.001).Brain tumors were more common in boys(x2=4.01,P＜0.045).Conclusions The disease spectrum of malignant tumors in children and adolescents in one tertiary hospital is similar to the disease spectrum of malignant tumors in domestic children and adolescents,with leukemia ranking first in both cases.Adolescents are more likely to develop solid tumors than children,which is consistent with the conclusions of previous studies.At the same time,research has found that brain tumors are more likely to occur in boys and thyroid cancer ranks second,which needs to be paid attention to by relevant disease prevention and control departments.
NETL
NSTL
万方数据
维普
