1.Epidemiology of Lung Cancer in Korea.
Cancer Research and Treatment 2002;34(1):3-5
No abstract available.
Epidemiology*
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Korea*
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Lung Neoplasms*
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Lung*
2.Interaction between familial cancer history and smoking on the risk of lung cancer in a Chinese population.
Guang-fu JIN ; Zhi-bin HU ; Hong-xia MA ; Xiang HUO ; Wen-sen CHEN ; Feng CHEN ; Yao-chu XU ; Hong-bing SHEN
Chinese Journal of Epidemiology 2006;27(12):1095-1096
China
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epidemiology
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Humans
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Lung Neoplasms
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epidemiology
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genetics
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Risk
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Smoking
3.Incidence of lung cancer in Jiashan, Zhejiang province: trend analysis from 1987 to 2016 and projection from 2017 to 2019.
Chen LI ; Yao ZHU ; Jinhua YANG ; Dongsheng XU ; Jianbing WANG ; Kun CHEN ; Qilong LI
Journal of Zhejiang University. Medical sciences 2018;47(4):367-373
OBJECTIVE:
To predict the incidence of lung cancer in Jiashan county from 2017 to 2019 on the basis of the incidence rates of lung cancer during 1987-2016.
METHODS:
Lung cancer incident cases were derived from cancer registry system of Jiashan. Crude incidence, age-standardized incidence rate by the Chinese standard population (ASR China) and the world standard population (ASR world) were calculated. Annual percent change (APC) was used to examine the temporal trend, and the autoregressive integrated moving average method (ARIMA) of time series model was used to predict the incidence rates from 2017 to 2019.
RESULTS:
There were 6103 lung cancer incident cases during 1987-2016 in Jiashan county. Averagely, the crude incidence rate, ASR China and ASR world were 53.77/10, 25.24/10 and 34.15/10, respectively. The crude incidence rate, ASR China and ASR world in male were 78.30/10, 34.77/10 and 51.87/10, which were higher than those in female (29.15/10, 14.31/10 and 17.99/10). Crude incidence rate increased from 27.58/10 in 1987 to 111.24/10 in 2016, and the APC was 5.28%. Crude incidence rate predicted by ARIMA model from 2017 to 2019 would be 135.64/10, 145.97/10 and 152.63/10, and the predicted crude incidence rate for 2017 was close to the real incidence rate in 2017 (135.95/10).
CONCLUSIONS
The incidence of lung cancer in Jiashan has been increased dramatically over the past 30 years and will continue to increase in the future.
China
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epidemiology
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Female
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Humans
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Incidence
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Lung Neoplasms
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epidemiology
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Male
;
Registries
4.Trend analysis and projection of cancer incidence in China between 1989 and 2008.
Wan-qing CHEN ; Rong-shou ZHENG ; Hong-mei ZENG ; Si-wei ZHANG ; Ping ZHAO ; Jie HE
Chinese Journal of Oncology 2012;34(7):517-524
OBJECTIVENationwide cancer incidence data were used to analyze the trends of cancer incidence in China in order to provide basic information for making cancer control strategy.
METHODSWe retrieved and re-sorted valid cancer incidence data from the National Central Cancer Registry Database over the 20 year-period 1989-2008. Crude incidence rate and age-standardized incidence rate were calculated for analysis. Annual percent changes in incidence for all cancers combined were estimated using Joinpoint software.
RESULTSThe cancer incidence rate in cancer registration areas was increased from 184.81/10(5) in 1989 to 286.69/10(5) in 2008 (from 209.33/10(5) to 307.04/10(5) in urban and from 176.10/10(5) to 269.57/10(5) in rural areas). Uptrends of crude cancer incidence were shown in both male and female in urban and rural areas over the 20 year-period. After standardized by age, overall incidence rate kept stable with 0.5% annual increase in urban and no change in rural areas. Since 2000, the cancer incidences in both sexes and areas were significantly increased. The incidence increased for most major cancers, especially lung cancer, colorectal cancer, female breast cancer and cervical cancer.
CONCLUSIONSOver the 20 year-period 1989-2008, cancer incidence of most cancers has been increasing by time. The incidences of gastric cancer, liver cancer and esophageal cancer still keep gradually increasing. The incidences of lung cancer, female breast cancer, colorectal cancer and cervical cancer are markedly going up, so that cancer prevention and control should be enhanced. Cancer registration will play an important role on cancer control in China along with the number of registries increasing and data quality improving.
Breast Neoplasms ; epidemiology ; China ; epidemiology ; Colorectal Neoplasms ; epidemiology ; Esophageal Neoplasms ; epidemiology ; Female ; Humans ; Incidence ; Liver Neoplasms ; epidemiology ; Lung Neoplasms ; epidemiology ; Male ; Neoplasms ; epidemiology ; Registries ; Rural Population ; Stomach Neoplasms ; epidemiology ; Urban Population ; Uterine Cervical Neoplasms ; epidemiology
6.Epidemiological Evolution of Lung Cancer in the South of Spain from 1990 to 2010.
Alberto CABALLERO VÁZQUEZ ; Ana Dolores ROMERO ORTIZ ; Jose Manuel GONZÁLEZ DE VEGA SAN ROMÁN ; Raimundo García DEL MORAL ; Bernardino ALCÁZAR NAVARRETE
Chinese Journal of Lung Cancer 2018;21(1):32-36
BACKGROUND:
Changes in lung cancer has been characterized by the increase of cases among women and the increase in adenocarcinomas among other histological subtypes.
METHODS:
Descriptive analysis of cases diagnosed with lung cancer in Hospital Virgen de las Nieves (Spain) from 1990 to 2010, based on five variables (age, sex, smoking, histology and pathological anatomy). The study establishes associations between these variables and compares the results with the literature.
RESULTS:
2,026 patients were diagnosed with lung cancer in this period; 1,838 were males (90.7%) and 188 women (9.3%); 1,892 patients (93.4%) were smokers or ex-smokers and 134 (6.6%) had never smoked; the most frequent non-small cell histology types were squamous cell carcinoma and adenocarcinoma and it was the most frequent neoplasia in women and were associated with a lower tobacco consumption.
CONCLUSIONS
The large majority of lung cancer cases is associated with a history of smoking tobacco and there are histopathological differences according to gender and cumulative tobacco smoke load.
Female
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Humans
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Lung Neoplasms
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epidemiology
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Male
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Middle Aged
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Smoking
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epidemiology
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Spain
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epidemiology
7.Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2022 edition).
Chinese Journal of Oncology 2022;44(6):457-490
Lung cancer is the most common malignancy with the highest incidence and mortality in China, which poses a major public health problem. To further standardize the prevention and treatment of lung cancer, improve the prognosis of patients, and provide professional evidence-based medical recommendations to medical professionals across China, the Oncology Society of Chinese Medical Association organized experts from departments of pulmonary medicine, oncology, thoracic surgery, radiotherapy, imaging, and pathology, based on indications approved by China Food and Drug Administration, domestically available drugs, recommendations of international guidelines and current clinical practice in China, integrated the latest evidence-based medical evidence of pathology, genetic testing, immune molecular biomarker detection and treatment methods of lung cancer in recent years. After consensus meetings, the Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer in China was formulated, which provided recommendations to clinicians, and imaging, laboratory, and rehabilitation professionals.
Asians
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China/epidemiology*
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Humans
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Lung Neoplasms/therapy*
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Medical Oncology
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Prognosis
8.Application of the trend-surface analysis for studying the geographical distribution of lung cancer mortality.
Xiao-yan WANG ; Yi SHEN ; Kun CHEN ; Fan MIAO
Chinese Journal of Epidemiology 2007;28(6):608-612
OBJECTIVETo apply trend-surface analysis on lung cancer mortality in China.
METHODSTo overview the theory and approach of trend-surface analysis and to fit the first to fifth order regression equations, where dependent variables were latitude and longitude, and the independent one was the standardized mortality ratio (SMR) of lung cancer for various provinces. Data was from the second mortality survey in the whole country, then proper regression equation was chosen.
RESULTSFifth-order regression equation was established for mortality of lung cancer in males with its fit goodness as 76.06%. The third-order regression equation was established for mortality of lung cancer in females with its fit goodness as 89.77%. There were positive residuals in Shanghai, Hubei and Tianjin, while the negative residuals were in Zhejiang, Anhui, Henan, Beijing and Guangxi for males. There were positive residuals in Tianjin, Hubei and Guangdong, while negative residuals appeared in Zhejiang, Shanxi, Guizhou, Hainan, Henan, Jilin and Neimenggu for females.
CONCLUSIONThe geographic distribution trend of lung cancer mortality between males and females appeared to be different. The mortality of lung cancer among males was high in the northeast provinces while the mortality of lung cancer for females was high in the southeast areas. In those areas where the residual values were anomalous, further studies need to be carried out.
China ; epidemiology ; Female ; Geography ; Humans ; Lung Neoplasms ; epidemiology ; mortality ; Male ; Regression Analysis
9.Study on time-series analysis and forecast models on lung cancer incidence in Qidong, 1972 - 2001.
Yong CHEN ; Jian-Guo CHEN ; Jian ZHU ; Hong-Bin SHEN ; Feng CHEN ; Yao-Chu XU
Chinese Journal of Epidemiology 2005;26(12):955-959
OBJECTIVETo explore the lung cancer incidence rates from 1972 to 2001 and utilize varieties of models in forecasting trend up to 2010 in the city of Qidong, Jiangsu in order to provide baseline data for its control and prevention.
METHODSUsing data from the cancer registry office in Qidong, we tried to reveal the trends of lung cancer incidence by analyzing the time-series on trends extrapolation, exponent smoothness, Box-Jenkins model etc. We also compared the prognostication precision, endow differ power, and established assembled forecast model.
RESULTSData showed that there had been a rising trend of lung cancer from 1972 to 2001 and would still probably be on the increase in the future. The rate of male and female attained to 70 per 100 000 and 20 per 100 000, predicting that there would be a respective 33 percent and 10 percent increase in 2010.
CONCLUSIONSAccording to analysis of forecast models, it was right to prognosticate lung cancer incidence from time-series and improve forecast precision through developing combination models. The result of combination seemed close to ARIMA models which suggested that it could serve as a chief way to forecast the incidence of lung cancer.
China ; epidemiology ; Female ; Forecasting ; methods ; Humans ; Incidence ; Lung Neoplasms ; epidemiology ; Male ; Models, Statistical ; Prognosis ; Registries
10.Current Status and Progress of Early Lung Cancer Screening under the Normal State of COVID-19 Epidemic Prevention and Control.
Yuyang WANG ; Na ZHOU ; Dong LIU ; Xiaochun ZHANG
Chinese Journal of Lung Cancer 2021;24(1):31-35
Lung cancer is the malignant tumor with the highest incidence in China. Early detection and identification of symptomatic lung cancer patients and timely screen out asymptomatic patients from high-risk groups require multiple cooperation. At present, although combined imaging, serology, genomics, proteomics and other methods have been combined to screen for suspected lung cancer, there are still problems such as missed diagnosis and misdiagnosis. Meanwhile, the spread of the corona virus disease 2019 (COVID-19) epidemic has brought new challenges to early lung cancer screening. Under the normalization of epidemic prevention and control, the work of early lung cancer screening should be changed accordingly: improve the population's awareness of cancer prevention and control, strengthen the management of medical procedures, improve the efficiency of tumor detection, optimize detection technology, and utilize internet and big data platforms rationally. We should establish an ideal model, combining multiple screening methods, which is streamlined and efficient for early lung cancer screening under normal epidemic prevention and control.
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COVID-19/epidemiology*
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China/epidemiology*
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Early Detection of Cancer
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Epidemics
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Humans
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Lung Neoplasms/prevention & control*