Objective:This is a comprehensive overview of long-term cancer survival in Zhejiang Province,China.Hybrid analysis,a combination of cohort and period analysis,has been proposed to derive up-to-date cancer survival est...Objective:This is a comprehensive overview of long-term cancer survival in Zhejiang Province,China.Hybrid analysis,a combination of cohort and period analysis,has been proposed to derive up-to-date cancer survival estimates.Using this approach,we aimed to timely and accurately analyze the 5-year relative survival(RS)and net survival(NS)in cancer registries of Zhejiang Province,China.Methods:A total of 255,725 new cancer cases diagnosed during 2013-2017 were included in 14 cancer registries in Zhejiang Province,China,with a follow-up on vital status until the end of 2019.The hybrid analysis was used to calculate the 5-year RS and 5-year NS during 2018-2019 for overall and stratifications by sex,cancer type,region,and age at diagnosis.Results:During 2018-2019,the age-standardized 5-year RS and NS for overall cancer in Zhejiang was 47.5%and 48.6%,respectively.The age-standardized 5-year RS for cancers of women(55.4%)was higher than that of men(40.0%),and the rate of urban areas(49.7%)was higher than that of rural areas(43.1%).The 5-year RS declined along with age,from 84.4%for ages<45 years to 23.7%for ages>74 years.Our results of the RS and NS showed the similar trend and no significant difference.The top five cancers with top age-standardized 5-year RS were thyroid cancer(96.0%),breast cancer(84.3%),testicular cancer(79.9%),prostate cancer(77.2%),and bladder cancer(70.6%),and the five cancers with the lowest age-standardized 5-year RS were pancreatic cancer(6.0%),liver cancer(15.6%),gallbladder cancer(17.1%),esophageal cancer(22.7%),and leukemia(31.0%).Conclusions:We reported the most up-to-date 5-year cancer RS and NS in Zhejiang Province,China for the first time,and found that the 5-year survival for cancer patients in Zhejiang during 2018-2019 was relatively high.The population-based cancer registries are recognized as key policy tools that can be used to evaluate both the impact of cancer prevention strategies and the effectiveness of health systems.展开更多
Although numerous studies have investigated premature deaths attributable to temperature,effects of temperature on years of life lost(YLL)remain unclear.We estimated the relationship between temperatures and YLL,and q...Although numerous studies have investigated premature deaths attributable to temperature,effects of temperature on years of life lost(YLL)remain unclear.We estimated the relationship between temperatures and YLL,and quantified the YLL per death caused by temperature in China.We collected daily meteorological and mortality data,and calculated the daily YLL values for 364 locations(2013–2017 in Yunnan,Guangdong,Hunan,Zhejiang,and Jilin provinces,and 2006–2011 in other locations)in China.A time-series design with a distributed lag nonlinear model was first employed to estimate the location-specific associations between temperature and YLL rates(YLL/100,000 population),and a multivariate meta-analysis model was used to pool location-specific associations.Then,YLL per death caused by temperatures was calculated.The temperature and YLL rates consistently showed U-shaped associations.A mean of 1.02(95%confidence interval:0.67,1.37)YLL per death was attributable to temperature.Cold temperature caused 0.98 YLL per death with most from moderate cold(0.84).The mean YLL per death was higher in those with cardiovascular diseases(1.14),males(1.15),younger age categories(1.31 in people aged 65–74 years),and in central China(1.34)than in those with respiratory diseases(0.47),females(0.87),older people(0.85 in people R75 years old),and northern China(0.64)or southern China(1.19).The mortality burden was modified by annual temperature and temperature variability,relative humidity,latitude,longitude,altitude,education attainment,and central heating use.Temperatures caused substantial YLL per death in China,which was modified by demographic and regional characteristics.展开更多
基金funded by Healthy Zhejiang One Million People Cohort(grant number:K-20230085).
文摘Objective:This is a comprehensive overview of long-term cancer survival in Zhejiang Province,China.Hybrid analysis,a combination of cohort and period analysis,has been proposed to derive up-to-date cancer survival estimates.Using this approach,we aimed to timely and accurately analyze the 5-year relative survival(RS)and net survival(NS)in cancer registries of Zhejiang Province,China.Methods:A total of 255,725 new cancer cases diagnosed during 2013-2017 were included in 14 cancer registries in Zhejiang Province,China,with a follow-up on vital status until the end of 2019.The hybrid analysis was used to calculate the 5-year RS and 5-year NS during 2018-2019 for overall and stratifications by sex,cancer type,region,and age at diagnosis.Results:During 2018-2019,the age-standardized 5-year RS and NS for overall cancer in Zhejiang was 47.5%and 48.6%,respectively.The age-standardized 5-year RS for cancers of women(55.4%)was higher than that of men(40.0%),and the rate of urban areas(49.7%)was higher than that of rural areas(43.1%).The 5-year RS declined along with age,from 84.4%for ages<45 years to 23.7%for ages>74 years.Our results of the RS and NS showed the similar trend and no significant difference.The top five cancers with top age-standardized 5-year RS were thyroid cancer(96.0%),breast cancer(84.3%),testicular cancer(79.9%),prostate cancer(77.2%),and bladder cancer(70.6%),and the five cancers with the lowest age-standardized 5-year RS were pancreatic cancer(6.0%),liver cancer(15.6%),gallbladder cancer(17.1%),esophageal cancer(22.7%),and leukemia(31.0%).Conclusions:We reported the most up-to-date 5-year cancer RS and NS in Zhejiang Province,China for the first time,and found that the 5-year survival for cancer patients in Zhejiang during 2018-2019 was relatively high.The population-based cancer registries are recognized as key policy tools that can be used to evaluate both the impact of cancer prevention strategies and the effectiveness of health systems.
基金We thank Professor Antonio Gasparrini for providing assistance during statistical analysis.This work was supported by the National Key Research and Development Program of China(2018YFA0606200)Guangzhou Science and Technology Project(201704020194)+3 种基金and the Guangdong Health Innovation Platform.The funders were not involved in the research and preparation of the article,including study designcollection,analysis,and interpretation of datawriting of the articleand the decision to submit it for publication.
文摘Although numerous studies have investigated premature deaths attributable to temperature,effects of temperature on years of life lost(YLL)remain unclear.We estimated the relationship between temperatures and YLL,and quantified the YLL per death caused by temperature in China.We collected daily meteorological and mortality data,and calculated the daily YLL values for 364 locations(2013–2017 in Yunnan,Guangdong,Hunan,Zhejiang,and Jilin provinces,and 2006–2011 in other locations)in China.A time-series design with a distributed lag nonlinear model was first employed to estimate the location-specific associations between temperature and YLL rates(YLL/100,000 population),and a multivariate meta-analysis model was used to pool location-specific associations.Then,YLL per death caused by temperatures was calculated.The temperature and YLL rates consistently showed U-shaped associations.A mean of 1.02(95%confidence interval:0.67,1.37)YLL per death was attributable to temperature.Cold temperature caused 0.98 YLL per death with most from moderate cold(0.84).The mean YLL per death was higher in those with cardiovascular diseases(1.14),males(1.15),younger age categories(1.31 in people aged 65–74 years),and in central China(1.34)than in those with respiratory diseases(0.47),females(0.87),older people(0.85 in people R75 years old),and northern China(0.64)or southern China(1.19).The mortality burden was modified by annual temperature and temperature variability,relative humidity,latitude,longitude,altitude,education attainment,and central heating use.Temperatures caused substantial YLL per death in China,which was modified by demographic and regional characteristics.