• Title/Summary/Keyword: Cox regression model

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6-Shogaol reduces progression of experimental endometriosis in vivo and in vitro via regulation of VGEF and inhibition of COX-2 and PGE2-mediated inflammatory responses

  • Wang, Dan;Jiang, Yiling;Yang, Xiaoxin;Wei, Qiong;Wang, Huimin
    • The Korean Journal of Physiology and Pharmacology
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    • v.22 no.6
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    • pp.627-636
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    • 2018
  • Endometriosis (EM) is one of the most common gynaecological disorder affecting women in their reproductive age. Mechanisms involved in the pathogenesis of EM remains poorly understood, however inflammatory responses have been reported to be significantly involved. The efficacy of 6-shogaol on proliferation of endometriotic lesions and inflammatory pathways in experimentally-induced EM model was explored in this study. EM was stimulated in Sprague-Dawley rats by implantation of autologous endometrium onto the peritoneum abdominal wall. Separate groups were treated with 6-shogaol (50, 100 or 150 mg/kg b.wt/day) via oral gavage for one month period. Gestrinone (GTN) group received GTN (0.5 mg/kg/day) as positive control. Five weeks after implantation, the spherical volume of ecto-uterine tissues was determined. Treatment with 6-shogaol significantly reduced the implant size. Histological analysis reported atrophy and regression of the lesions. 6-shogaol administration effectively down-regulated $NF-{\kappa}B$ signaling, VEGF and VEGFR-2 (Flk-1) expression in the endometriotic lesions. Excess production of $IL-1{\beta}$ and IL-6 (pro-inflammatory cytokines), PGE2 and nitric oxide (NO) were reduced. Overall, the results of the study reveal the efficacy of 6-shogaol against endometriosis via effectively suppressing proliferation of the lesions and modulating angiogenesis and $COX-2/NF-{\kappa}B$-mediated inflammatory cascades.

Prognostic Value of Peritoneal Washing Cytology in Gynecologic Malignancies: a Controversial Issue

  • Binesh, Fariba;Akhavan, Ali;Behniafard, Nasim;Zabihi, Somayeh;Hosseinizadeh, Elhamsadat
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.21
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    • pp.9405-9410
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    • 2014
  • Purpose: To evaluate the prognostic impact of peritoneal washing cytology in patients with endometrial and ovarian cancers. Materials and Methods: We retrospectively identified 86 individuals with ovarian carcinomas, ovarian borderline tumors and endometrial adenocarcinomas. The patients had been treated at Shahid Sadoughi Hospital and Ramazanzadeh Radiotherapy Center, Yazd, Iran between 2004 and 2012. Survival differences were determined by Kaplan-Meier analysis. Multivariate analysis was performed using the Cox regression method. A p<0.05 value was considered statistically significant. Results: There were 36 patients with ovarian carcinomas, 4 with borderline ovarian tumors and 46 with endometrial carcinomas. The mean age of the patients was $53.8{\pm}15.2years$. In patients with ovarian carcinoma the overall survival in the negative cytology group was better than the patients with positive cytology although this difference failed to reach statistical significance (p=0.30). At 0 to 50 months the overall survival was better in patients with endometrial adenocarcinoma and negative cytology than the patients with positive cytology but then it decreased (p=0.85). At 15 to 60 months patients with FIGO 2009 stage IA-II endometrial andocarcinoma and negative peritoneal cytology had a superior survival rate compared to 1988 IIIA and positive cytology only, although this difference failed to reach statistical significance(p=0.94). Multivariate analysis using Cox proportional hazards model showed that stage and peritoneal cytology were predictors of death. Conclusions: Our results show good correlation of peritoneal cytology with prognosis in patients with ovarian carcinoma. In endometrial carcinoma it had prognostic importance. Additional research is warranted.

Risk Factors Associated with Cataract and Macular degeneration by in Korean aged 60 years and over (한국인 60세 이상 노년층의 황반변성과 백내장의 위험요인 -국민건강보험공단 노인코호트 자료를 활용하여-)

  • Pak, Hae-Yong;Lee, Eun-Hee;Pak, Yun-Suk
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.273-279
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    • 2017
  • Purpose: This study was conducted to identify factors associated with cataract and age-related macular degeneration in elders. Methods: In total, 341,588 men(44.18%,) and women(61.887%), aged over 60, were recruited from Korean National Health Insurance Service-Senior(2002-2013). We also analysed the factors which determine the prevalence of contract (ICD-10: H25) and age-related macular degeneration(ICD-10: H353) using Cox proportional hazard regression model Results: The subjects who were women, in older age, the group of higher income level, with hypertension, with heart disease, and with diabetes, the prevalence of both contract and age-related macular were increased(p<0.0001). Conclusion: The prevalence of contract and age-related macular degeneration were higher in old age of Korean who has chronic diseases such as hypertension, heart disease, and diabetes. The management of chronic diseases are essentially required in elderly for more healthy eye in aged society.

Prognostic Factors Influencing Survival and Success Rates of Autotransplanted Maxillary Canine (자가이식한 상악 견치의 생존율과 성공률에 영향을 주는 예후 인자 연구)

  • Kim, Dong-Hyun;Hyun, Hong-Keun;Kim, Young-Jae;Jang, Ki-Taeg
    • Journal of the korean academy of Pediatric Dentistry
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    • v.44 no.3
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    • pp.317-326
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    • 2017
  • The aim of this study was to investigate the survival and success rates of autotransplanted maxillary canine at the artificially formed recipient socket and evaluate the factors that influence survival and success rates. A total of 28 children who had 37 impacted canines were reviewed over the mean observation time of 25.1 months. Tooth mobility, pathologic root resorption, vertical bone loss, periapical lesion and anklyosis of donor tooth were investigated clinically and radiographically. The survival rate was 100%. The success rate was 64.9%, because 13 teeth were evaluated as unsuccessful. Significant parameter in determining the success rate of autotransplantation was enlarged follicle size of donor tooth according to Cox proportional hazard regression model. The results provide information necessary for clinician to make a better treatment decision about autotransplantation at the artificially formed recipient socket.

Application of Cox and Parametric Survival Models to Assess Social Determinants of Health Affecting Three-Year Survival of Breast Cancer Patients

  • Mohseny, Maryam;Amanpour, Farzaneh;Mosavi-Jarrahi, Alireza;Jafari, Hossein;Moradi-Joo, Mohammad;Monfared, Esmat Davoudi
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.sup3
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    • pp.311-316
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    • 2016
  • Breast cancer is one of the most common causes of cancer mortality in Iran. Social determinants of health are among the key factors affecting the pathogenesis of diseases. This cross-sectional study aimed to determine the social determinants of breast cancer survival time with parametric and semi-parametric regression models. It was conducted on male and female patients diagnosed with breast cancer presenting to the Cancer Research Center of Shohada-E-Tajrish Hospital from 2006 to 2010. The Cox proportional hazard model and parametric models including the Weibull, log normal and log-logistic models were applied to determine the social determinants of survival time of breast cancer patients. The Akaike information criterion (AIC) was used to assess the best fit. Statistical analysis was performed with STATA (version 11) software. This study was performed on 797 breast cancer patients, aged 25-93 years with a mean age of 54.7 (${\pm}11.9$) years. In both semi-parametric and parametric models, the three-year survival was related to level of education and municipal district of residence (P<0.05). The AIC suggested that log normal distribution was the best fit for the three-year survival time of breast cancer patients. Social determinants of health such as level of education and municipal district of residence affect the survival of breast cancer cases. Future studies must focus on the effect of childhood social class on the survival times of cancers, which have hitherto only been paid limited attention.

Side Population Cell Level in Human Breast Cancer and Factors Related to Disease-free Survival

  • Jin, C.G.;Zou, T.N.;Li, J.;Chen, X.Q.;Liu, X.;Wang, Y.Y.;Wang, X.;Che, Y.H.;Wang, X.C.;Sriplung, Hutcha
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.3
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    • pp.991-996
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    • 2015
  • Side population (SP) cells have stem cell-like properties with a capacity for self-renewal and are resistant to chemotherapy and radiotherapy. Therefore the presence of SP cells in human breast cancer probably has prognostic value. Objective: To investigate the characteristics of SP cells and identify the relationship between the SP cells levels and clinico-pathological parameters of the breast tumor and disease-free survival (DFS) in breast cancer patients. Materials and Methods: A total of 122 eligible breast cancer patients were consecutively recruited from January 1, 2006 to December 31, 2007 at Yunnan Tumor Hospital. All eligible subjects received conventional treatment and were followed up for seven years. Predictors of recurrence and/or metastasis and DFS were analyzed using Cox regression analysis. Human breast cancer cells were also obtained from fresh human breast cancer tissue and cultured by the nucleic acid dye Hoechst33342 with Verapami. Flow cytometry (FCM) was employed to isolate the cells of SP and non-SP types. Results: In this study, SP cells were identified using flow cytometric analysis with Hoechst 33342 dye efflux. Adjusted for age, tumor size, lymph nodal status, histological grade, the Cox model showed a higher risk of recurrence and/or metastasis positively associated with the SP cell level (1.75, 1.02-2.98), as well as with axillary lymph node metastasis (2.99, 1.76-5.09), pathology invasiveness type (1.7, 1.14-2.55), and tumor volume doubling time (TVDT) (1.54, 1.01-2.36). Conclusions: The SP cell level is independently associated with tumor progression and clinical outcome after controlling for other pathological factors. The axillary lymph node status, TVDT and the status of non-invasive or invasive tumor independently predict the prognosis of breast cancer.

Effect of Editors' Commitment on Open Collaboration Contents: Promotion of Wikipedia Featured Articles (에디터의 몰입이 개방형 협업 콘텐츠 품질에 미치는 영향: 위키피디아 알찬급 승급을 중심으로)

  • Khan, Naveed;Kim, Jong Woo;Lee, Hong Joo
    • The Journal of Society for e-Business Studies
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    • v.22 no.4
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    • pp.1-19
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    • 2017
  • Wikipedia is one of the world's most visited sites for content collaboration. Its success is due to thousands of volunteers' motivation and commitment to contribute their knowledge to Wikipedia. In this paper, we use the Cox regression model to assess the effect of self-loop editing on the promotion of Wikipedia featured articles. We collected 2978 Wikipedia featured article editing history from start of Wikipedia until 2011. We use self-loops as a proxy measure for Wikipedia editors' commitment, and find that self-loop editing has a positive effect on the promotion of featured articles. We further distinguish the self-loop into a short-term self-loop and a long-term self-loop. We find that long-term self-loop editing is more helpful than short-term self-loop editing. This research has been conducted with both theoretical and practical application methods.

Association between D-Dimer Levels and the Prognosis of Terminal Cancer Patients in the Last Hours of Life

  • Lee, Hwan Hee;Hwang, In Cheol;Shin, Jinyoung
    • Journal of Hospice and Palliative Care
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    • v.23 no.1
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    • pp.11-16
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    • 2020
  • Purpose: D-dimer levels are known to be associated with poor outcomes in patients with various cancers, but their significance at the end of life remains unclear. This study investigated D-dimer levels as a prognostic indicator for terminal cancer patients in the last hours of life. Methods: The retrospective study was conducted at a palliative care unit of a tertiary cancer center, using a database to analyze the records of patients treated from January 1, 2010 to December 31, 2018. In total, 67 terminal cancer patients with available data on D-dimer levels were included. Patients' demographic data, clinical information, and laboratory values, including D-dimer levels, were collected. Survival was analyzed using the Kaplan-Meier method and the log-rank test. A Cox proportional-hazards model was used to identify prognostic factors of poor survival. Results: The most common site of cancer was the lung (32.8%) and the median survival time was 5 days. Most laboratory results, particularly D-dimer levels, deviated from the normal range. Patients with high D-dimer levels had a significantly shorter survival time than those with low D-dimer levels (4 days vs. 7 days; P=0.012). In the Cox regression analysis, only a high D-dimer level was identified as a predictor of a poor prognosis (hazard ratio, 1.83; 95% confidence interval, 1.09~3.07). Conclusion: Our results suggest that at the very end of life, D-dimer levels may serve as a prognostic factor for survival in cancer patients.

Impact of beta blockers on survival outcomes in ovarian cancer: a nationwide population-based cohort study

  • Baek, Min-Hyun;Kim, Dae-Yeon;Kim, Seon Ok;Kim, Ye-Jee;Park, Young-Han
    • Journal of Gynecologic Oncology
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    • v.29 no.6
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    • pp.82.1-82.13
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    • 2018
  • Objective: The impact of beta blockers (BBs) on survival outcomes in ovarian cancer was investigated. Methods: By using Korean National Health Insurance Service Data, Cox proportional hazards regression was performed to analyze hazard ratios (HRs) with 95% confidence intervals (CIs) adjusting for confounding factors. Results: Among 866 eligible patients, 206 (23.8%) were BB users and 660 (76.2%) were non-users. Among the 206 BB users, 151 (73.3%) were non-selective beta blocker (NSBB) users and 105 (51.0%) were selective beta blocker (SBB) users. BB use in patients aged ${\geq}60$ years, longer duration use (${\geq}1$ year), in patients with Charlson Comorbidity Index (CCI) ${\geq}3$, and in cardiovascular disease including hypertension was associated with better survival outcome. These findings were observed in both NSBB and SBB. When duration of medication was analyzed based on number of days, NSBB (${\geq}180$ days) was associated with improved overall survival (OS) with a relatively shorter period of use compared to SBB (${\geq}720$ days). In multivariate Cox proportional hazards model, longer duration of BB medication (${\geq}1$ year) was an independent favorable prognostic factor for both OS and disease-specific survival in ovarian cancer patients. Conclusion: In our nationwide population-based cohort study, BB use was associated with better survival outcomes in ovarian cancer in cases of long term duration of use, in older patients, and in cardiovascular and/or other underlying disease (CCI ${\geq}3$).

Comparative Study of AI Models for Reliability Function Estimation in NPP Digital I&C System Failure Prediction (원전 디지털 I&C 계통 고장예측을 위한 신뢰도 함수 추정 인공지능 모델 비교연구)

  • DaeYoung Lee;JeongHun Lee;SeungHyeok Yang
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.1-10
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    • 2023
  • The nuclear power plant(NPP)'s Instrumentation and Control(I&C) system periodically conducts integrity checks for the maintenance of self-diagnostic function during normal operation. Additionally, it performs functionality and performance checks during planned preventive maintenance periods. However, there is a need for technological development to diagnose failures and prevent accidents in advance. In this paper, we studied methods for estimating the reliability function by utilizing environmental data and self-diagnostic data of the I&C equipment. To obtain failure data, we assumed probability distributions for component features of the I&C equipment and generated virtual failure data. Using this failure data, we estimated the reliability function using representative artificial intelligence(AI) models used in survival analysis(DeepSurve, DeepHit). And we also estimated the reliability function through the Cox regression model of the traditional semi-parametric method. We confirmed the feasibility through the residual lifetime calculations based on environmental and diagnostic data.