1.The analysis for the long period exist cases of esophageal neoplasms
Kuanrong LIU ; Zhongsheng PEI ; Limin SHANGGUAN
Cancer Research and Clinic 2007;19(z1):55-56
Objective Study to affect the oesophagus cancer the treatment the empress the factor that exist over a long period of time.Methods Right The clinical data that oesophagus cancer exist the above case of 5 years after projecting cure to cure with surgical operation proceeds to analyze.Results 10,15,20 year is total to exist the rate respectively for 7.1%(113/1593),4.03%(48/1190),2.6%(20/757);Project the treatment 10,15,20 years exist the rate respectively for 5.2%,3.17%,2.3%;Surgical operation treatment 10,15,20 years exist the rate Respectively for 24.2%,21.8%,23.1%.Clinical cent period,pathological changes each set of length comparison difference contain covariance to learn the meaning (P<0.01).Conclusion The main cause of death that emanation cure is a parts and did not controls with relapse,surgical operation for relapse with transfer;exist the case to then relapse with transfer over a long period of time for primarily die froming,The next in order for the afferent disease of heart brain.
2.Survival and prognostic factors of cervical cancer patients after operation
Zhizhi HOU ; Kuanrong LIU ; Yongzhen ZHANG ; Suxia LI ; Xuerong GUO ; Jingjing ZHANG
Cancer Research and Clinic 2011;23(3):174-175,178
Objective To explore the high-risk prognostic factors of patients with cervical cancer Methods To collect the clinical datas and follow-up visit results of patients, 365 cases of cervical cancer were retrospectively analyzed. To use Kaplan-Meier methods to calculate survival rate and use the Log-rank test to compare the significant difference between different survival curves. Based on the univarite survival analysis, COX proportional hazards regression model was adopted to analyze the risk prognostic factors.Results The 5-year, 10-year, 15-year and 20-year survival rates were 88 %, 83 %, 81% and 80%,respectively. In univariate survival analysis, there was significant differents between the survival curves of age and clinical stage (x2 = 19.738, P <0.01 and x2 = 36.672, P <0.01). And the survival rate of the higher age group was higher than the lower age group, the group of lower clinical stage was higher or equal to the group of higher clinical stage. In the COX regressive analysis, clinical stage and age were relevant to the prognosis of cervical cancer (P <0.01). Conclusion Age and clinical stage are prognostic factors of cervical cancer. Early diagnosis and treatment is still the main means to lower the rate of death resulted from the cervical cancer.