5 results on '"Cheng, Yongran"'
Search Results
2. Use of Period Analysis to Timely Assess Five-Year Relative Survival for Patients with Ovarian Cancer from Taizhou, Eastern China.
- Author
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Bing, Xin, Lei, Huijun, Zhao, Xiaojiao, Cheng, Yongran, Wang, Liangyou, Yang, Jun, Xu, Mingzhi, Yu, Chenhuan, and Chen, Tianhui
- Subjects
OVERALL survival ,CANCER patients ,OVARIAN cancer ,AGE groups ,CITIES & towns ,MEDICAL screening - Abstract
Objective: Ovarian cancer is a deadly gynecologic malignancy with a poor prognosis. It is essential to evaluate the early detection and screening programs of ovarian cancer via timely assessment of long-time survival, particularly in China where those data are incredibly limited. Here, we aimed to provide timely and accurately assessment of long-term survival estimate of ovarian cancer patients from eastern China. Methods: Data of 770 ovarian cancer patients diagnosed between 2004–2018 were obtained from four cancer registries in Taizhou, eastern China, were included. We used period analysis to calculate five-year relative survival (RS) of aforementioned ovarian cancer patients for overall and the stratification by age at diagnosis and region. Results: Our findings demonstrated that the overall five-year RS for ovarian cancer patients in Taizhou between 2014 and 2018 was 69.2%, while urban areas were higher compared to rural areas (77.6% vs. 64.9%). We also observed a significant age gradient with the five-year RS decreasing from 79.6% for age group < 55 years to 66.9% for age group > 74 years. Furthermore, we identified a clear upward trend of five-year RS over the study period, both overall and stratified by region and age at diagnosis. Conclusion: This is the first study in China using period analysis to provide the most up-to-date five-year RS for ovarian cancer patients from Taizhou, eastern China, which reaches 69.2% during 2014–2018. Our results provide valuable information for timely assessment of early detection and screening programs for ovarian cancer in eastern China. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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- View/download PDF
3. Using period analysis to timely assess and predict 5‐year relative survival for colorectal cancer patients in Taizhou, eastern China.
- Author
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Zhang, Min, Cheng, Yongran, Chen, Bicheng, Li, Runhua, Jiang, Xiyi, Wang, Liangyou, Chen, Tianhui, Liao, Qi, and Chen, Jinfei
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COLORECTAL cancer , *CANCER patients , *OVERALL survival , *MEDICAL screening , *CITIES & towns - Abstract
Introduction: While timely assessment of long‐term survival for patients with colorectal cancer (CRC) is essential for evaluation on early detection and screening programs of colorectal cancer, those data are extremely scarce in China. We aimed to timely and accurately assess long‐term survival for CRC patients in eastern China. Methods: Patients diagnosed with CRC during 2004–2018 and followed up until December 31, 2018 from four cancer registries with high‐quality data from Taizhou, eastern China were included. Period analysis was used to calculate 5‐year relative survival (RS) for overall and the stratification by sex, age at diagnosis and region. The projected 5‐year RS of CRC patients during 2019–2023 was also assessed using a model‐based period analysis. Results: Overall 5‐year RS for patients with CRC during 2014–2018 reached 78.8%, being 74.9% for men and 86.1% for women. 5‐year RS declined along with aging, decreasing from 84.1% for age < 45 years to 48.9% for age > 74 years, while 5‐year RS for urban area was higher compared to rural area (83.9% vs. 75.8%). Projected overall 5‐year RS of CRC patients could reach 85.9% during the upcoming period 2019–2023. Conclusions: We provided, for first time in China using period analysis, most up‐to‐date 5‐year RS for patients with CRC from Taizhou, eastern China and also found 5‐year RS for CRC patients have improved greatly during 2004–2018. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Using Population-Based Cancer Registration Data and Period Analysis to Accurately Assess and Predict 5-Year Relative Survival for Lung Cancer Patients in Eastern China.
- Author
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Li, Runhua, Zhang, Min, Cheng, Yongran, Jiang, Xiyi, Tang, Huijuan, Wang, Liangyou, Chen, Tianhui, and Chen, Bicheng
- Subjects
LUNG cancer ,CANCER patients ,DATA analysis ,CITIES & towns ,AGE groups - Abstract
Background: The assessment of long-term survival of lung cancer patients based on data from population-based caner registries, using period analysis, was scarce in China. We aimed to accurately assess the long-term survival of lung cancer patients, and to predict the long-term survival in the future, using cancer registry data from Taizhou City, eastern China. Methods: Four cancer registries with high-quality data were selected. Patients diagnosed with lung cancer during 2004–2018 were included. The long-term survival was evaluated using period analysis, with further stratification by sex, age at diagnosis and region. Additionally, projected 5-year relative survival (RS) of lung cancer patients for 2019-2023 was evaluated, using model-based period analysis. Results: The 5-year RS of lung cancer patients diagnosed during 2014–2018 was 40.2% (31.5% for men and 56.2% for women). A moderate age gradient was observed for the period estimate, with the estimate decreasing from 50.5 to 26.5% in the age group of 15–44 years and ≥75 years, respectively. The 5-year RS of urban area was higher than that of rural area (52.3% vs. 38.9%). The overall projected 5-year RS of lung cancer patients was 52.7% for 2019–2023, with estimate of 43.0 and 73.2% for men and women, respectively. A moderate age gradient was also observed for the projected estimate. Moreover, estimate reached nearly 50% for rural and urban areas. Conclusion: Period analysis tended to provide the up-to-date and precise survival estimates for lung cancer patients, which is worth further application, and provides important evidence for prevention and intervention of lung cancer. [ABSTRACT FROM AUTHOR]
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- 2021
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- View/download PDF
5. Assessment of long‐term survival of cancer patients using cancer registry data from eastern China: Period analysis is superior to traditional methods.
- Author
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Jiang, Xiyi, Wang, Liangyou, Cheng, Yongran, Tang, Huijuan, and Chen, Tianhui
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CANCER patients ,CHINESE people ,COHORT analysis ,CANCER diagnosis - Abstract
We aimed to provide a systematical evaluation of the performance of period analysis compared to traditional cohort and complete methods, using cancer registry data from Taizhou, eastern China. Overall, 5‐year relative survival (RS) estimate was calculated using cohort analysis, complete analysis and period analysis, respectively; further analyses were stratified by sex, region, age at diagnosis and cancer sites. Deviation value (DV), defined as the deviation between the estimated 5‐year RS obtained from each method and the observed actual survival, was calculated to evaluate the accuracy of each method. Overall, 5‐year RS derived by period analysis were much closer to the observed actual survival (51.4%), compared to those by complete and cohort methods, with the estimates of 48.7% (DV: −2.7%), 43.2% (DV: −8.2%) and 36.3% (DV: −15.1%), respectively. Further stratifications by sex, age at diagnosis, region and cancer sites also supported period analysis provided more precise estimates, compared to complete and cohort methods. We found, for first time systematically using cancer registry data from eastern China, period analysis provided more up‐to‐date precise estimates of long‐term survival for overall and stratifications by sex, age at diagnosis, region and cancer sites, compared to traditional cohort and complete methods. Nevertheless, further investigations using large cancer registry data across China are warranted for the widespread use of period analysis in China. What's new? Period analysis, the 'gold standard' for the assessment of long‐term survival of cancer patients based on data from population‐based cancer registries, has been widely used. However, its applications in China are scarce. Here, the authors provided, for the first time in the Chinese population, a comprehensive and systematic evaluation of the performance of period analysis compared to the cohort and complete methods. Period analysis provided more up‐to‐date precise estimates of long‐term overall survival and stratifications by sex, region, age at diagnosis, and cancer sites, compared to the traditional methods. The findings may promote widespread use of period analysis across China. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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