[Purpose]To analyze the survival rate of breast cancer in Qidong City of Jiangsu Province from 1972 to 2019 and to predict the trend in the next 10 years.[Methods]The data of breast cancer collected from Qidong Cancer Registry from 1972 to 2019 were extracted.Observed survival rate(OSR),relative survival rate(RSR),age-adjusted relative survival(ARS)and average annual percentage change(AAPC)of breast cancer were calculated.ARIMA model was used to predict the trend of breast cancer survival rate.[Results]The 5-year RSR increased from 57.30％during 1972-1977 to 89.01％during 2014-2019,and the uptrend of RSR in the 8 periods was statistically significant(P＜0.001).The 5-year ARS increased from 48.12％during 1972-1977 to 85.64％during 2014-2019 with an AAPC of 1.85％(t=10.113,P＜0.001).The 5-year RSR during 1972-2019 for males was 85.22％,and for females was 74.51％.For females,the 5-year RSR in-creased from 56.44％during 1972-1977 to 88.93％during 2014-2019 with an AAPC of 1.29％(t=13.087,P＜0.001),and the 5-year ARS increased from 46.14％during 1972-1977 to 85.23％during 2014-2019 with an AAPC of 1.90％(t=10.369,P＜0.001).The 5-year RSR in the age groups of 25～34,35～44,45～54,55～64,65～74,and over 75 years old were 66.91％,74.69％,76.97％,75.52％,73.44％and 66.40％,respectively;the corresponding AAPCs of 5-RSR in above age groups were 1.02％(t=3.816,P=0.009),1.03％(t=4.936,P=0.003),1.23％(t=5.826,P=0.001),1.86％(t=5.997,P=0.001),2.13％(t=10.245,P＜0.001),and 1.44％(t=6.405,P=0.001),respectively.ARIMA modeling of survival trend prediction showed that 5-RSR and 5-ARS for breast cancer will be ascended to 98.76％and 98.33％by 2028,respectively.[Conclusion]The overall survival rate of registered breast cancer cases in Qidong City has been greatly improved and will be further improved in the future,more attention should be paid to the prevention and treatment of breast cancer.

[Purpose]To analyze the survival rate of breast cancer in Qidong City of Jiangsu Province from 1972 to 2019 and to predict the trend in the next 10 years.[Methods]The data of breast cancer collected from Qidong Cancer Registry from 1972 to 2019 were extracted.Observed survival rate(OSR),relative survival rate(RSR),age-adjusted relative survival(ARS)and average annual percentage change(AAPC)of breast cancer were calculated.ARIMA model was used to predict the trend of breast cancer survival rate.[Results]The 5-year RSR increased from 57.30％during 1972-1977 to 89.01％during 2014-2019,and the uptrend of RSR in the 8 periods was statistically significant(P＜0.001).The 5-year ARS increased from 48.12％during 1972-1977 to 85.64％during 2014-2019 with an AAPC of 1.85％(t=10.113,P＜0.001).The 5-year RSR during 1972-2019 for males was 85.22％,and for females was 74.51％.For females,the 5-year RSR in-creased from 56.44％during 1972-1977 to 88.93％during 2014-2019 with an AAPC of 1.29％(t=13.087,P＜0.001),and the 5-year ARS increased from 46.14％during 1972-1977 to 85.23％during 2014-2019 with an AAPC of 1.90％(t=10.369,P＜0.001).The 5-year RSR in the age groups of 25～34,35～44,45～54,55～64,65～74,and over 75 years old were 66.91％,74.69％,76.97％,75.52％,73.44％and 66.40％,respectively;the corresponding AAPCs of 5-RSR in above age groups were 1.02％(t=3.816,P=0.009),1.03％(t=4.936,P=0.003),1.23％(t=5.826,P=0.001),1.86％(t=5.997,P=0.001),2.13％(t=10.245,P＜0.001),and 1.44％(t=6.405,P=0.001),respectively.ARIMA modeling of survival trend prediction showed that 5-RSR and 5-ARS for breast cancer will be ascended to 98.76％and 98.33％by 2028,respectively.[Conclusion]The overall survival rate of registered breast cancer cases in Qidong City has been greatly improved and will be further improved in the future,more attention should be paid to the prevention and treatment of breast cancer.

Objective:To analyze the application effect of integrated medical and nursing management model based on intelligent medical system in preventing postoperative breast cancer lymphedema.Methods:A total of 180 patients undergoing axillary lymph node dissection for breast cancer were selected in the Affiliated Hospital of Nantong University from July 2018 to August 2019. According to the random number table method, they were divided into treatment group and control group for 90 cases in each group, and finally completed the study: 86 cases in treatment group and 82 cases in control group. The control group was given routine health management, and the treatment group was given an integrated management model based on intelligent medical systems. After 6 months of follow-up, the two groups of patients were compared for their cognition of lymphedema, prevention behavior, incidence of lymphedema, and patient satisfaction.Results:The incidence, clinical manifestations, risk factors, prevention methods, and overall awareness rates of lymphedema in the treatment group were 82.56%(71/ 86), 84.88%(73/86), 83.72%(72/86), 83.72%(72/86), 83.72%(72/86), and the control group were 67.07%(55/82), 70.73%(58/82), 68.29%(56/82), 69.51%(57/82), 70.73%(58/82), the differences were statistically significant ( χ2 values were 4.046-5.508, P<0.05). The total scores of skin care, lifestyle, avoidance of upper limb compression, and prevention of lymphedema in the treatment group were (9.54±1.04), (30.45±2.45), (9.35±1.08), (58.92±8.20) points, and the control group were (8.12±1.32), (8.12±1.32), (8.74±1.14), (53.45±7.64) points, the differences were statistically significant ( t values were 3.561-7.764, P<0.01). The incidence of lymphedema in the treatment group was 9.30%(8/86), and that in the control group was 23.17%(19/82), the difference was statistically significant ( χ2 value was 5.985, P<0.05). Satisfaction was 95.35%(82/86) in the treatment group and 82.93%(68/82) in the control group, the difference was statistically significant ( χ2 value was 6.771, P<0.01). Conclusions:The integrated management of medical care and patients based on intelligent medical system can help improve the level of lymphedema cognition in patients with breast cancer surgery, promote the development of lymphedema prevention behavior, reduce the incidence of postoperative lymphedema, and improve patient satisfaction.

The retrieval of the existing literature on the types of fungi polysaccharides, chemical structure and anti-canceractivity, anti-cancer mechanism was outlined, providing scientific information for further study on anti-cancer action of polysaccharides of fungi.