Literature DB >> 21471587

A population-based analysis of incidence, mortality, and stage-specific survival of cervical cancer patients in Hong Kong: 1997-2006.

F Y Cheung1, Oscar W K Mang, Stephen C K Law.   

Abstract

OBJECTIVES: To determine the trends in incidence and mortality of cervical cancer patients diagnosed during 1997 to 2006, and to describe stage-specific survival using population-based cancer registry data.
DESIGN: Retrospective, population-based study.
SETTING: Hong Kong. PATIENTS: All patients diagnosed with cervical cancer between 1997 and 2006. Patients eligible for survival analysis were followed up till 31 December 2007. MAIN OUTCOME MEASURES: Age-standardised incidence and mortality rates and average annual percent changes in these parameters were calculated using the Poisson regression model. Survival was expressed as relative survival rate using a period approach. Hazard ratios of mortality including 95% confidence intervals for certain variables were estimated using the Cox proportional hazards model.
RESULTS: During the 10-year period of the study, overall annual incidence and mortality rates decreased by 4.2% and 6.0%, respectively. Significant rates of reduction were observed in all age-groups except those younger than 45 years. The reduction in incidence of squamous cell carcinoma (3.6% annually) was less than that of adenocarcinoma (5.2%) and other histological types (6.8%). In all, 3807 (86.4%) of the patients were included in survival analysis. The overall 5-year relative survival rate was 71.3% (95% confidence interval, 69.5-73.1%), while the values for stages I, II, III, and IV were 90.9%, 71.0%, 41.7%, and 7.8%, respectively. Age, stage, and histology were independent prognostic factors. Survival of stage IA patients was as good as that of the general population.
CONCLUSIONS: As in other industrialised countries, the incidence and mortality rate of cervical cancer were decreasing. Stage-specific population-based cancer survival was available for the first time, and was useful as an indicator of cancer control. Collaboration between public and private sectors to further improve the follow-up data could provide more comprehensive surveillance information.

Entities:  

Mesh:

Year:  2011        PMID: 21471587

Source DB:  PubMed          Journal:  Hong Kong Med J        ISSN: 1024-2708            Impact factor:   2.227


  8 in total

1.  Cancer Incidence and Mortality in Asian Countries: A Trend Analysis.

Authors:  Junjie Huang; Chun Ho Ngai; Yunyang Deng; Man Sing Tin; Veeleah Lok; Lin Zhang; Jinqiu Yuan; Wanghong Xu; Zhi-Jie Zheng; Martin C S Wong
Journal:  Cancer Control       Date:  2022 Jan-Dec       Impact factor: 2.339

2.  Survival of Cancer Patients in Northeast China: Analysis of Sampled Cancers from Population-Based Cancer Registries.

Authors:  Yanxia Li; Liya Yu; Jun Na; Shuang Li; Li Liu; Huijuan Mu; Xuanjuan Bi; Xiaoxia An; Xun Li; Wen Dong; Guowei Pan
Journal:  Cancer Res Treat       Date:  2017-02-02       Impact factor: 4.679

Review 3.  Epidemiology of gynecologic cancers in China.

Authors:  Xiyi Jiang; Huijuan Tang; Tianhui Chen
Journal:  J Gynecol Oncol       Date:  2018-01       Impact factor: 4.401

4.  GJA1 Expression and Its Prognostic Value in Cervical Cancer.

Authors:  Silu Meng; Xinran Fan; Jianwei Zhang; Ran An; Shuang Li
Journal:  Biomed Res Int       Date:  2020-11-24       Impact factor: 3.411

5.  Disparities in the increases of cervical cancer incidence rates: observations from a city-wide population-based study.

Authors:  Ke Li; Huan Xu; Suixiang Wang; Pengzhe Qin; Boheng Liang
Journal:  BMC Cancer       Date:  2022-04-15       Impact factor: 4.638

6.  Nuclear TK1 expression is an independent prognostic factor for survival in pre-malignant and malignant lesions of the cervix.

Authors:  Gang Chen; Cheng He; Ling Li; An Lin; Xiongwei Zheng; Ellen He; Sven Skog
Journal:  BMC Cancer       Date:  2013-05-21       Impact factor: 4.430

7.  Genetic polymorphisms of PGF and TNFAIP2 genes related to cervical cancer risk among Uygur females from China.

Authors:  Zumurelaiti Ainiwaer; Reyilanmu Maisaidi; Jing Liu; Lili Han; Sulaiya Husaiyin; Jing Lu; Mayinuer Niyazi
Journal:  BMC Med Genet       Date:  2020-10-27       Impact factor: 2.103

8.  6 Circulating miRNAs can be used as Non-invasive Biomarkers for the Detection of Cervical Lesions.

Authors:  Ruoqi Ning; Silu Meng; Lin Wang; Yao Jia; Fangxu Tang; Haiying Sun; Zhi Zhang; Chong Zhang; Xinran Fan; Bing Xiao; Chunhua Yang; Shuang Li
Journal:  J Cancer       Date:  2021-06-22       Impact factor: 4.207

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.