肿瘤研究与临床
腫瘤研究與臨床
종류연구여림상
CANCER RESEARCH AND CLINIC
2011年
3期
174-175,178
,共3页
侯芝芝%刘宽荣%张永贞%李素霞%郭雪蓉%张晶晶
侯芝芝%劉寬榮%張永貞%李素霞%郭雪蓉%張晶晶
후지지%류관영%장영정%리소하%곽설용%장정정
子宫颈肿瘤%外科手术%预后%存活率%因素
子宮頸腫瘤%外科手術%預後%存活率%因素
자궁경종류%외과수술%예후%존활솔%인소
Cervical neoplasms%Surgery%Prognosis%Survival rate%Factors
目的 探讨影响子宫颈癌患者术后生存的影响因素.方法 对1976年3月至1999年6月手术治疗的365例子宫颈癌患者临床资料和随访结果进行回顾性分析.采用Kaplan-Meier法计算累积生存率,用Log-Rank法比较各因素不同水平生存分布的差异.在单因素分析的基础上,进一步应用COX回归模型进行预后因素分析.结果 全组子宫颈癌术后患者5、10、15、20年累积生存率分别为88%、83%、81%、80%.Log-Rank分析结果显示,不同年龄、分期水平间生存差异有统计学意义(x2=19.738,P<0.01;x2=36.672,P<0.01).随年龄和分期的升高,患者生存率均降低.术式、放疗不同水平间生存差异无统计学意义(均P>0.05).COX模型多因素分析表明,年龄、分期是影响预后的独立因素(均P<0.01).结论 年龄、分期是影响子宫颈癌预后的因素,早期治疗对子宫颈癌患者预后有重要意义,应提高早期发现率和早诊率.
目的 探討影響子宮頸癌患者術後生存的影響因素.方法 對1976年3月至1999年6月手術治療的365例子宮頸癌患者臨床資料和隨訪結果進行迴顧性分析.採用Kaplan-Meier法計算纍積生存率,用Log-Rank法比較各因素不同水平生存分佈的差異.在單因素分析的基礎上,進一步應用COX迴歸模型進行預後因素分析.結果 全組子宮頸癌術後患者5、10、15、20年纍積生存率分彆為88%、83%、81%、80%.Log-Rank分析結果顯示,不同年齡、分期水平間生存差異有統計學意義(x2=19.738,P<0.01;x2=36.672,P<0.01).隨年齡和分期的升高,患者生存率均降低.術式、放療不同水平間生存差異無統計學意義(均P>0.05).COX模型多因素分析錶明,年齡、分期是影響預後的獨立因素(均P<0.01).結論 年齡、分期是影響子宮頸癌預後的因素,早期治療對子宮頸癌患者預後有重要意義,應提高早期髮現率和早診率.
목적 탐토영향자궁경암환자술후생존적영향인소.방법 대1976년3월지1999년6월수술치료적365례자궁경암환자림상자료화수방결과진행회고성분석.채용Kaplan-Meier법계산루적생존솔,용Log-Rank법비교각인소불동수평생존분포적차이.재단인소분석적기출상,진일보응용COX회귀모형진행예후인소분석.결과 전조자궁경암술후환자5、10、15、20년루적생존솔분별위88%、83%、81%、80%.Log-Rank분석결과현시,불동년령、분기수평간생존차이유통계학의의(x2=19.738,P<0.01;x2=36.672,P<0.01).수년령화분기적승고,환자생존솔균강저.술식、방료불동수평간생존차이무통계학의의(균P>0.05).COX모형다인소분석표명,년령、분기시영향예후적독립인소(균P<0.01).결론 년령、분기시영향자궁경암예후적인소,조기치료대자궁경암환자예후유중요의의,응제고조기발현솔화조진솔.
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.