1.THE INFLUENCE OF UREAPLASMA UREALYTICUM ON SEMEN QUALITY
Min CHE ; Min LIN ; Yunzhong ZHENG ; Yilan HUANG ; Qiongshang IIU ; Guang LIN
Chinese Journal of Zoonoses 2000;(4):61-62
Aim The seminal plasma of 51 cases of infertile were studied with the PCR technice and ELISA method, of which 20 spectimens (39. 2% )were Uu positive, 18 spectimens (35. 3 % ) were AsAb positive, positive of Uu and AsAb were 11 specimens(21.6% ). Correlation of seminal plasma that there is significiant between thetwo groups in sperm activity score, sperm viability, liquefy time, deformative rate and sperm morphogenesis. The conclusion is that genital tract infection with Uu can affect semen parameters and diminish semen quality, the fertility ability of human sperm will be destroyed.
2.Target therapy of gefitinib in advanced adenocarcinoma of the lung.
Hua ZHENG ; Jingping WANG ; Qiyi MENG ; Zan LIU ; Baolan LI ; Yunzhong ZHU
Chinese Journal of Lung Cancer 2007;10(3):229-233
BACKGROUNDGefitinib is an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor which is used to treat advanced non-small cell lung cancer, especially adenocarcinoma. The aim of this study is to evaluate the efficacy, side effects and prognostic factors of gefitinib in adenocarcinoma of the lung.
METHODSA total of 26 patients with advanced adenocarcinoma of the lung were enrolled in the study. Gefitinib was orally administered 250mg once daily until disease progression or the occurrence of intolerable toxicity. They were evaluated regularly and their survival was analyzed.
RESULTSIn 26 patients, there was 1 with complete regression (3.8%), 11 with partial response (42.3%), 9 with stable disease (34.6%) and 5 with progression of disease (19.2%). The objective response rate was 46.2% and the disease control rate was 80.8%. The median progression-free survival time was 8.2 months and the median overall survival time was 10.4 months. The 1-year survival rate was 31.6%. Age ( < 70 years old), skin rash and CEA decrease were significantly related to longer survival, however, times of prior chemotherapy and gefitinib treatment stage did not influence the survival. Mean PS (ECOG) was 3.0 before treatment, and 1.8 after treatment. Mean symptom relief time was 5.2 days.
CONCLUSIONSGefitinib is an effective target drug with slight side effect. It can significantly improve quality of life of patients with adenocarcinoma. It can be used as first-line therapy to patients who are not suitable for chemotherapy.
3.Health inequalities during 20 years of rapid economic development in China (1980-2000): a mortality analysis.
XiaoYing ZHENG ; XinMing SONG ; Gong CHEN ; YunZhong YOU ; Qiang REN ; JuFen LIU ; Lei ZHANG ; LingFang TAN ; JiHong WEI ; QiuYuan CHEN
Biomedical and Environmental Sciences 2011;24(4):329-334
OBJECTIVETo examine the influence of China's economic reforms on population health and regional mortality rates.
METHODSLongitudinal study measuring the mortality trends and their regional variations. Using data from the three most recent national censuses, we used the model life table to adjust the mortality levels within the population for each census, and to calculate life expectancy. We then examined the variation in patterns of mortality and population health by economic status, region and gender from 1980-2000.
RESULTSLife expectancy varied with economic status, province, and gender. Results showed that, although life expectancy in China had increased overall since the early 1980s, regional differences became more pronounced. Life expectancy for populations who live in the eastern coastal provinces are greater than those in the western regions.
CONCLUSIONDifferences in life expectancy are primarily related to differences in regional economic development, which in turn exacerbate regional health inequalities. Therefore, it is necessary to improve economic development in less developed regions and to improve health policies and the public health system that address the needs of everyone.
China ; Developing Countries ; Economics ; Female ; Healthcare Disparities ; economics ; Humans ; Infant ; Infant Mortality ; Life Expectancy ; Male ; Mortality ; trends ; Sex Characteristics