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find Author "LIU Shiyuan" 3 results
  • The Logistic regression analysis of risk factors for emphysema based CT quantitative assessment

    Objective To explore the positive rate of emphysema in groups under Low-dose CT screening, then take the regression analysis on related risk factors for emphysema. Methods A total of 1 175 volunteers involved in low-dose CT screening and completing the questionnaire were collected and taken the CT quantitative assessment for emphysema, then the positive rate of emphysema was calculated. Questionnaire data were collected and non-conditional Logistic regression was used to analyze the factors in the questionnaire. Results Ninety-seven cases of emphysema had been detected in 1 175 volunteers, and the positive rate was 8.26%. The positive rate for the males and the females was 9.90% (71/717) and 5.68% (26/458), respectively. Three risk factors (smoking, second-hand smoking, history of chronic bronchitis) were screened out by Logistic regression. Conclusions According to the results of the regression analysis, smoking, second-hand smoking and history of chronic bronchitis are main risk factors for emphysema. Some effective measures could be made against emphysema in high risk population. In that way the morbidity and perniciousness of emphysema could be reduced.

    Release date:2017-11-23 02:56 Export PDF Favorites Scan
  • Effect of postoperative radiotherapy after complete resection in patients with stage ⅢA-N2 non-small cell lung cancer

    ObjectiveTo evaluate the value of postoperative radiotherapy (PORT) in patients with stage ⅢA-N2 non-small cell lung cancer who received complete resection and chemotherapy. MethodsPatients with stage ⅢA-N2 non-small cell lung cancer who received complete resection and chemotherapy were chosen from the SEER Research Plus Database (17 Registries, November 2021Submission [2000-2019]). The patients were divided into a PORT group and a non-PORT group according to whether the PORT was used. To balance baseline characteristics between non-PORT and PORT groups, R software was used to conduct a propensity score matching (PSM) with a ratio of 1 : 1 and a matching tolerance of 0.01. Both the Cox regression analysis and Kaplan-Meier survival analysis were conducted to evaluate the value of PORT in patients with stage ⅢA-N2 non-small cell lung cancer who received complete resection and chemotherapy in terms of overall survival (OS) and disease-specific survival (DSS). ResultsIn total, 2468 patients with stage ⅢA-N2 non-small cell lung cancer were enrolled, including 1078 males and 1390 females with a median age of 65 (58-71) years. There were 1336 patients in the PORT group, and 1132 patients in the non-PORT group. Cox regression analysis showed that PORT was not significantly associated with OS (multivariate analysis: HR=0.951, 95%CI 0.859-1.054, P=0.338) and DSS (multivariate analysis: HR=0.914, 95%CI 0.816-1.025, P=0.123) in patients with stage ⅢA-N2 non-small cell lung cancer who received complete resection and chemotherapy. No statistical difference was found in the OS or DSS between non-PORT group and PORT group before and after PSM analysis (P>0.05). ConclusionPORT does not have a survival benefit for patients with stage ⅢA-N2 non-small cell lung cancer who received complete resection and chemotherapy.

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  • Impact of number of positive regional lymph nodes in N1 stage on the prognosis of patients with non-small cell lung cancer: A propensity score matching study

    ObjectiveTo explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. MethodsPatients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1∶1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. ResultsA total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.05). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. ConclusionN1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.

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