Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study
ObjectivesIt is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women’s health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China.M...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1003297/full |
| _version_ | 1811205032670920704 |
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| author | Xiaopan Li Mo Zhang Yichen Chen Huihui Lv Yan Du |
| author_facet | Xiaopan Li Mo Zhang Yichen Chen Huihui Lv Yan Du |
| author_sort | Xiaopan Li |
| collection | DOAJ |
| description | ObjectivesIt is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women’s health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China.Materials and MethodsCo-morbidities, crude mortality rate (CMR), age-standardised mortality rate by Segi’s world standard population (ASMRW), years of life lost (YLL), and survival rates were analysed. Temporal trends for the mortality rates and disease burden were analyzed using the Joinpoint Regression Program. Mortality rate increases by demographic and non-demographic factors were estimated by the decomposition method.ResultsA total of 1088 ovarian cancer as underlying cause of deaths were recorded. CMR and ASMRW were 4.82/105 and 2.32/105 person-years, respectively. The YLL was 16372.96 years, and the YLL rate was 72.46/105 person-years. The YLL rate increased only in the age group of 70-79 years (P = 0.017). The survival rates of ovarian cancer patients did not improve during the ten year period (2005-2015). The top co-morbidities were diseases of the respiratory system, digestive system, and circulatory system. The rates of ovarian cancer deaths caused by non-demographic and demographic factors increased by 21.29% (95%CI: 4.01% to 41.44%, P = 0.018) and 25.23% (95%CI: 14.64% to 36.81%, P < 0.001), respectively.ConclusionsPopulation ageing and all cause of death may affect ovarian cancer related deaths in Pudong, Shanghai. The high mortality and the stagnant survival rates suggest the need for more efforts in targeted prevention and treatment of this disease. |
| first_indexed | 2024-04-12T03:23:44Z |
| format | Article |
| id | doaj.art-33812a3034cf4e8bbdbb3218859ef12a |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-12T03:23:44Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-33812a3034cf4e8bbdbb3218859ef12a2022-12-22T03:49:46ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-10-011210.3389/fonc.2022.10032971003297Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based studyXiaopan Li0Mo Zhang1Yichen Chen2Huihui Lv3Yan Du4Department of Health Management Center, Zhongshan Hospital, Shanghai Medical College of Fudan University, Shanghai, ChinaClinical Research Unit, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, ChinaOffice of Scientific Research and Information Management, Center for Disease Control and Prevention & Pudong Institute of Preventive Medicine, Pudong New Area, Shanghai, ChinaYueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, ChinaClinical Research Unit, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, ChinaObjectivesIt is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women’s health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China.Materials and MethodsCo-morbidities, crude mortality rate (CMR), age-standardised mortality rate by Segi’s world standard population (ASMRW), years of life lost (YLL), and survival rates were analysed. Temporal trends for the mortality rates and disease burden were analyzed using the Joinpoint Regression Program. Mortality rate increases by demographic and non-demographic factors were estimated by the decomposition method.ResultsA total of 1088 ovarian cancer as underlying cause of deaths were recorded. CMR and ASMRW were 4.82/105 and 2.32/105 person-years, respectively. The YLL was 16372.96 years, and the YLL rate was 72.46/105 person-years. The YLL rate increased only in the age group of 70-79 years (P = 0.017). The survival rates of ovarian cancer patients did not improve during the ten year period (2005-2015). The top co-morbidities were diseases of the respiratory system, digestive system, and circulatory system. The rates of ovarian cancer deaths caused by non-demographic and demographic factors increased by 21.29% (95%CI: 4.01% to 41.44%, P = 0.018) and 25.23% (95%CI: 14.64% to 36.81%, P < 0.001), respectively.ConclusionsPopulation ageing and all cause of death may affect ovarian cancer related deaths in Pudong, Shanghai. The high mortality and the stagnant survival rates suggest the need for more efforts in targeted prevention and treatment of this disease.https://www.frontiersin.org/articles/10.3389/fonc.2022.1003297/fullovarian cancerall cause of deathunderlying cause of deathmortalityyears of life losttrend analysis |
| spellingShingle | Xiaopan Li Mo Zhang Yichen Chen Huihui Lv Yan Du Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study Frontiers in Oncology ovarian cancer all cause of death underlying cause of death mortality years of life lost trend analysis |
| title | Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study |
| title_full | Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study |
| title_fullStr | Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study |
| title_full_unstemmed | Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study |
| title_short | Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study |
| title_sort | longitudinal analysis of ovarian cancer death patterns during a rapid transition period 2005 2020 in shanghai china a population based study |
| topic | ovarian cancer all cause of death underlying cause of death mortality years of life lost trend analysis |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1003297/full |
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