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1.
Cancer Research on Prevention and Treatment ; (12): 1113-1117, 2021.
Artigo em Chinês | WPRIM | ID: wpr-988465

RESUMO

Objective To analyze 10 years survival status of urban female patients with corpus uteri cancer and its influencing factors in Liaoning Province. Methods Based on Liaoning cancer register database, 426 patients with corpus uteri cancer in Shenyang, Anshan and Benxi from 2000 to 2002 were randomly selected. They were followed up passively and actively. Life table method and Ederer Ⅱ method were used to calculate the observed survival rate (OSR), the expected survival rate (ESR) and the relative survival rate (RSR). Results We finally included 218 corpus uteri patients. The diagnosis proportions of stage Ⅰ-Ⅳ were 59.2%, 11.5%, 11.0% and 8.7%, respectively. Ten-year RSR and OSR were 59.6% and 67.9%. The diagnosis stage was negatively correlated with 10-year RSR. The 10-year RSR of patients treated with surgery was 71.3%, which was 6.6 times that of non-surgical treatment (10.8%). The 1-year RSR to 10-year RSR ranged from 88.4% to 67.5%. The RSR of each stage was Ⅰ-Ⅱ(95.7%-77.9%) > Ⅲ (71.4%-44.5%) > Ⅳ (58.4%-11.0%). Multivariate Cox model analysis showed that age > 55 years old, late diagnosis stage and non-surgical treatment were the main factors affecting the 10-year survival rate. Conclusion Early diagnosis and surgical treatment can significantly improve the long-term survival rate of patients. Therefore, we should strengthen the early detection and treatment of corpus uteri cancer, standardize and strengthen the screening program.

2.
Cancer Research and Treatment ; : 1106-1113, 2017.
Artigo em Inglês | WPRIM | ID: wpr-176909

RESUMO

PURPOSE: The cancer survival was characterized by following up sampled subgroups of cancer cases from three population-based cancer registries in Northeast China. MATERIALS AND METHODS: Survival analysis was used to analyze 6,871 patients, who had one of the 21 most common cancers based on sampling from the population-based cancer registries of three cities in Liaoning Province. All patients were diagnosed between 2000 and 2002 and were followed up to the end of 2007 by active and passive methods. The 5-year age standardized relative survival rates (ASRS) were estimated for all cancers combined and each of the 21 individual cancers. RESULTS: The survival status was traced for 80.8% of 8,506 sampled cancer cases. The 5-year ASRS for all 21 cancers combined was 41.5% (95% confidence interval, 40.3 to 42.7), the highest ASRS was observed for thyroid cancer (85.2%), breast cancer (78.9%), uterine corpus cancer (75.9%), and urinary bladder cancer (70.2%); the lowest 5-year ASRS was noted in pancreatic cancer (8.8%), liver cancer (11.0%), esophageal cancer (18.8), and lung cancer (19.6%). The cancer survival rates in Liaoning cities were similar to those of urban areas in mainland China, but significantly lower than those in Hong Kong, Korea, and Japan. CONCLUSION: The strikingly poor cancer survival rates in three cities of Liaoning Province and in other places in China highlight the need for urgent investment in cancer prevention, early detection, and standardized and centralized treatment.


Assuntos
Humanos , Neoplasias da Mama , China , Neoplasias Esofágicas , Hong Kong , Investimentos em Saúde , Japão , Coreia (Geográfico) , Neoplasias Hepáticas , Neoplasias Pulmonares , Neoplasias Pancreáticas , Sistema de Registros , Taxa de Sobrevida , Neoplasias da Glândula Tireoide , Neoplasias da Bexiga Urinária
3.
Chinese Journal of Medical Science Research Management ; (4): 217-220, 2009.
Artigo em Chinês | WPRIM | ID: wpr-380656

RESUMO

Objective To know the ability of rural health doctors, find out the scope of job satis-faction and desire of training and extending for chosen extending rural health doctors. Methods Various factors were analyzed, which affect the appropriate health technology extension in rural areas based on the study in Liaoning province with the method of the questionnaire and the categorical data statistics. Results The quality of medical human resources in rural area was low. The main influencing factors for training were practicality of the training, rescannable time and whether increasing income. Meanwhile, The appropriate health technology extension was affected by the rationality, validity, safety of techniques, acceptance degrees of patients as well as the individual professional basis. Conclusion It was necessary to focus on continued medical education to improve the rural doctor's ability. Some tactics was also put forward to promote the technology extension effect. This study provided some suggestions which could be used as references for the government making decision.

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