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作 者:吕恭进[1,2] 施佳辰[3] 马楠 郭磊磊[1,2] 王石 曹小琴[1,2] 宋春花[1,2] 刘莺 聂伟 王凯娟[1,2]
机构地区:[1]郑州大学公共卫生学院,河南郑州450001 [2]河南省肿瘤流行病学重点实验室,河南郑州450001 [3]郑州大学基础医学院,河南郑州450001 [4]河南省医学科学院,河南郑州450003 [5]郑州大学附属肿瘤医院,河南郑州450001
出 处:《中国肿瘤》2014年第8期661-665,共5页China Cancer
基 金:国家自然科学基金(81201954)
摘 要:[目的]分析2003-2013年河南省三级医院食管癌患者病种构成及变化趋势,为食管癌的预防、诊治及专科建设提供参考依据。[方法]收集2003年1月至2013年6月河南省29家三级医院收治的食管癌患者资料,以患者ID号采集病案信息,统计分析患者特征。[结果]①食管癌住院患者共81 659例,占总住院人数的1.21%。男性52 529例,女性29 130例,男女比1.8∶1。②十年间食管癌住院患者数总体趋势平缓,男性患者增加稍快于女性患者。③食管癌住院患者中,食管恶性肿瘤,未特指(C15.9)患者数居首位(55.53%),其次为食管中三分之一恶性肿瘤(C15.4),占26.83%,食管腹部恶性肿瘤(C15.2)患者数最少,占0.02%。病理分型以鳞状食管癌为主(88.44%)。④患者平均年龄为63.14岁,以55-65岁年龄组患者最多(28.29%)。⑤患者主要来自河南省境内,其中河南北部安阳市居首位(18.79%)。[结论]河南省食管癌住院患者在肿瘤类别、性别、年龄、地域分布、病理类型等方面具有一定的规律,应根据这些信息深入开展防治策略研究。[Purpose ] To analysis the characteristic of patients with esophageal cancer in tertiary hospital from 2003 to 2013 in Henan province. [Methods] Clinical data with patient ID numbers of esophageal cancer from 29 tertiary hospitals were collected and reviewed retrospectively from January 2003 to June 2013 in Henan province. [Results] (1)A total of 81 659 cases of esophageal cancer inpatients were retrospected from January 2003 to June 2013,accounted for 1.21% of total inpatients. The male and female cases were 52 529 and 29 130 respectively,and the gender ratio was 1.8:1. (2)The number of esophageal cancer inpatients increased modestly during the last decade,and the growth of men was slightly faster than that of women. (3)The number of patients with esophagus, unspecified(C 15.9) was in the first place(55.53%),followed by middle third of esophagus (C 15.4)(26.83%), and abdominal part of esophagus(ClS.2) was the lowest(0.02%),the proportion of squamous cell carcinoma was the major type (88.44%). (4)The mean age of patients was 63.14 years old,the proportion of 55-65 age group was the highest(28.29%).(5)Most patients were from Henan province,and Anyang city occupied the first place (18.79%).[Conclusion] The distribution of esophageal cancer in Hcnan province has its special characteristics, and the characteristics analysis may be beneficial to the pre- vention and treatment of esophageal cancer.
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