• 제목/요약/키워드: Multivariate survival data

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Assessing the Impact of Socio-economic Variables on Breast Cancer Treatment Outcome Disparity

  • Cheung, Min Rex
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권12호
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    • pp.7133-7136
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    • 2013
  • Background: We studied Surveillance, Epidemiology and End Results (SEER) breast cancer data of Georgia USA to analyze the impact of socio-economic factors on the disparity of breast cancer treatment outcome. Materials and Methods: This study explored socio-economic, staging and treatment factors that were available in the SEER database for breast cancer from Georgia registry diagnosed in 2004-2009. An area under the receiver operating characteristic curve (ROC) was computed for each predictor to measure its discriminatory power. The best biological predictors were selected to be analyzed with socio-economic factors. Survival analysis, Kolmogorov-Smirnov 2-sample tests and Cox proportional hazard modeling were used for univariate and multivariate analyses of time to breast cancer specific survival data. Results: There were 34,671 patients included in this study, 99.3% being females with breast cancer. This study identified race and education attainment of county of residence as predictors of poor outcome. On multivariate analysis, these socio-economic factors remained independently prognostic. Overall, race and education status of the place of residence predicted up to 10% decrease in cause specific survival at 5 years. Conclusions: Socio-economic factors are important determinants of breast cancer outcome and ensuring access to breast cancer treatment may eliminate disparities.

Long-term Prognosis in Hepatocellular Carcinoma Patients after Hepatectomy

  • Zhou, Lei;Liu, Chang;Meng, Fan-Di;Qu, Kai;Tian, Feng;Tai, Ming-Hui;Wei, Ji-Chao;Wang, Rui-Tao
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권2호
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    • pp.483-486
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    • 2012
  • Background: The hepatocellular carcinoma is very common in China. Our aim in this report was to investigate clinical and pathological factors based on the current decade data that could influence prognosis of HCC patients after hepatectomy. Methods: Between 2002 and 2009, all patients undergoing hepatectomy for HCC were followed up and reviewed retrospectively. Prognostic factors were studied by univariate and multivariate analysis, with Kaplan-Meier and Cox multivariate survival analyses. Results: Complete clinicopathologic and follow-up data were available for 114 patients. The estimated cumulative survival rates at 1, 3, and 5 yr were 84.6%, 60.2% and 51.8%, respectively. On univariate analysis, key prognostic factors were AFP level, GGT level, tumor size, number of tumors, portal vein invasion, liver cirrhosis status and TNM stage. In the multivariate analysis, tumor size, GGT level, liver cirrhosis status and portal vein invasion were significantly associated with patients' prognosis. Conclusion: Through follow-up of a relatively large cohort of Chinese patients, tumor size, GGT level, liver cirrhosis status, portal vein invasion were revealed as important factors for long-term survival after hepatectomy. Early diagnosis for tumor and the improvement of liver function before surgery are important ways to improve the prognosis.

African American Race and Low Income Neighborhoods Decrease Cause Specific Survival of Endometrial Cancer: A SEER Analysis

  • Cheung, Min Rex
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권4호
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    • pp.2567-2570
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    • 2013
  • Background: This study analyzed Surveillance, Epidemiology and End Results (SEER) data to assess if socio-economic factors (SEFs) impact on endometrial cancer survival. Materials and Methods: Endometrial cancer patients treated from 2004-2007 were included in this study. SEER cause specific survival (CSS) data were used as end points. The areas under the receiver operating characteristic (ROC) curve were computed for predictors. Time to event data were analyzed with Kaplan-Meier method. Univariate and multivariate analyses were used to identify independent risk factors. Results: This study included 64,710 patients. The mean follow up time (S.D.) was 28.2 (20.8) months. SEER staging (ROC area of 0.81) was the best pretreatment predictor of CSS. Histology, grade, race/ethnicity and county level family income were also significant pretreatment predictors. African American race and low income neighborhoods decreased the CSS by 20% and 3% respectively at 5 years. Conclusions: This study has found significant endometrial survival disparities due to SEFs. Future studies should focus on eliminating socio-economic barriers to good outcomes.

SRC-Stat 통계패키지를 이용한 생존분석 (Survival Analysis using SRC-Stat Statistical Package)

  • 하일도;노맹석;이영조;임요한;이재용;오희석;신동완;이상구;서진욱;박용태;조성준;박종헌;김유경;유경상
    • 응용통계연구
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    • 제28권2호
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    • pp.309-324
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    • 2015
  • 본 논문에서는 SRC-Stat 통계패키지를 이용하여 생존자료를 분석하는 방법을 소개한다. 본 패키지는 단변량 생존 자료 분석을 위한 콕스의 비례위험모형 뿐만아니라, 다변량 생존자료분석을 위한 공통 및 지분 프레일티 모형과 같은 고급 생존분석법을 제공한다. 잘 알려져 있는 실제자료의 사용을 통해 본 패키지의 유용성을 예증한다.

Estimation of Bivariate Survival Function for Possibly Censored Data

  • Park Hyo-Il;Na Jong-Hwa
    • Communications for Statistical Applications and Methods
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    • 제12권3호
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    • pp.783-795
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    • 2005
  • We consider to obtain an estimate of bivariate survival function for the right censored data with the assumption that the two components of censoring vector are independent. The estimate is derived from an ad hoc approach based on the representation of survival function. Then the resulting estimate can be considered as an extension of the Susarla- Van Ryzin estimate to the bivariate data. Also we show the consistency and weak convergence for the proposed estimate. Finally we compare our estimate with Dabrowska's estimate with an example and discuss some properties of our estimate with brief comment on the extension to the multivariate case.

Treatment Modality Based Survival in Gastric Carcinoma Patients with Stand-Alone Peritoneal Metastasis: a Case-Control Study

  • Jeong, Oh;Jung, Mi Ran;Kang, Ji Hoon
    • Journal of Gastric Cancer
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    • 제21권2호
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    • pp.122-131
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    • 2021
  • Purpose: To date, there are no promising treatments for gastric carcinoma with peritoneal metastasis. Some researchers have suggested a survival benefit of gastrectomy in select patients. This study investigated the survival of gastric carcinoma patients with stand-alone peritoneal metastasis according to the type of treatment modality. Materials and Methods: We reviewed the data of 132 patients with gastric carcinoma and stand-alone peritoneal metastasis. We performed gastrectomy when the primary tumor was deemed resectable and systemic chemotherapy was administered. We analyzed patient survival according to the type of treatment, and the prognostic value of gastrectomy was evaluated in univariate and multivariate models. Results: Among all patients, 70 underwent gastrectomy plus chemotherapy, 20 underwent gastrectomy alone, 36 underwent chemotherapy alone, and 6 received supportive care. The median patient survival was 13 months. Patients who underwent gastrectomy had significantly longer survival than those who did not undergo gastrectomy (14 vs. 8 months, P<0.001). Patients who received chemotherapy showed significantly longer survival than those who did not (13 vs. 7 months, P=0.032). Patients who underwent gastrectomy plus chemotherapy showed better survival than those who underwent other treatments. In multivariate analysis, gastrectomy was found to be an independent prognostic factor (hazard ratio, 0.52; 95% confidence interval, 0.33-0.82) in addition to chemotherapy. Conclusions: Our study showed that patients who underwent gastrectomy plus chemotherapy had the best survival. Although the survival benefit of gastrectomy remains uncertain, it is a favorable prognostic indicator in patients with stand-alone peritoneal metastasis.

Factors Affecting Survival in Patients with Colorectal Cancer in Shiraz, Iran

  • Zare-Bandamiri, Mohammad;Khanjani, Narges;Jahani, Yunes;Mohammadianpanah, Mohammad
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권1호
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    • pp.159-163
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    • 2016
  • Background: Colorectal cancer (CRC) is the third most common cancer in the world, and the fourth in Iran in both genders. The aim of this study was to find predictive factors for CRC survival. Materials and Methods: Medical records of 570 patients referred to the radiotherapy oncology department of Shiraz Namazi hospital from 2005 to 2010 were retrospectively analysed. Data were collected by reviewing medical records, and by telephone interviews with patients. Survival analysis was performed using the Cox's regression model with survival probability estimated with Kaplan-Meier curve. The log-rank test was used to compare survival between strata. Data was analyzed with Stata 12. Results: The five-year survival rate and the mean survival time after cancer diagnosis were 58.5% and $67{\pm}4months$. On multivariate analysis, age of diagnosis, disease stage and primary tumor site, lymphovascular invasion and type of treatment (in colon cancer) were significant factors for survival. Conclusions: Age of diagnosis and type of treatment (adjuvant therapy in patients with colon cancer) were two modifiable factors related to survival of CRC patients. Therefore earlier diagnosis might help increase survival.

Survival Rate of Intrahepatic Cholangiocarcinoma Patients after Surgical Treatment in Thailand

  • Sriputtha, Sudarat;Khuntikeo, Narong;Promthet, Supannee;Kamsaard, Supot
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권2호
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    • pp.1107-1110
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    • 2013
  • Intrahepatic cholangiocarcinoma (ICC), one of the primary liver cancers, is frequent in the northeastern part of Thailand. Surgical resection remains the best method of treatment, but patients suffering from ICC usually present at a late stage of the disease. Studies of survival and prognostic factors after surgery remain rare. The aim here was to evaluate the survival rate and factors affecting the survival of patients with intrahepatic cholangiocarcinoma after surgery. The study used a retrospective cohort design. The subjects were 73 consecutive patients with ICC, who were admitted for surgery to Srinagarind Hospital, Khon Kaen University, during the period 2005-2009. The censoring date was 31 December, 2011, data being evaluated using uni- and multivariate analyses. Postoperative survival analysis was performed by the Kaplan-Meier method, and the Cox proportional hazard model was used to identify independent prognostic factors. The total follow-up time was 99 person-years. The total number of deaths was 59, giving a mortality rate of 59 per 100 person-years. The cumulative 1-, 3-, and 5-year survival rates were 52.1%, 21.7%, and 11.2%, respectively. The median duration of survival after resection was 12.4 months. Univariate analysis revealed stage of disease, lymph node metastasis, histological type, histological grade and macroscopic classification to be statistically significant (p-value<0.05) prognostic factors. In the multivariate analysis, only macroscopic classification was statistically significant (p-value<0.05). In conclusion, macroscopic classification was the only independent factor found to be significantly associated with survival following surgical treatment of ICC.

Loss of Expression of PTEN is Associated with Worse Prognosis in Patients with Cancer

  • Qiu, Zhi-Xin;Zhao, Shuang;Li, Lei;Li, Wei-Min
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권11호
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    • pp.4691-4698
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    • 2015
  • Background: The tumor suppressor phosphatase and tensin homolog (PTEN) is an important negative regulator of cell-survival signaling. However, available results for the prognostic value of PTEN expression in patients with cancer remain controversial. Therefore, a meta-analysis of published studies investigating this issue was performed. Materials and Methods: A literature search via PubMed and EMBASE databases was conducted. Statistical analysis was performed by using the STATA 12.0 (STATA Corp., College, TX). Data from eligible studies were extracted and included into the meta-analysis using a random effects model. Results: A total of 3,810 patients from 27 studies were included in the meta-analysis, 22 investigating the relationship between PTEN expression and overall survival (OS) using univariate analysis, and nine with multivariate analysis. The pooled hazard ratio (HR) for OS was 1.64 (95% confidence interval (CI): 1.32-2.05) by univariate analysis and 1.56 (95% CI: 1.20-2.03) by multivariate analysis. In addition, eight papers including two disease-free-survival analyses (DFSs), four relapse-free-survival analyses (RFSs), three progression-free-survival analyses (PFSs) and one metastasis-free-survival analysis (MFS) reported the effect of PTEN on survival. The results showed that loss of PTEN expression was significant correlated with poor prognosis, with a combined HR of 1.74 (95% CI: 1.24-2.44). Furthermore, in the stratified analysis by the year of publication, ethnicity, cancer type, method, cut-off value, median follow-up time and neoadjuvant therapy in which the study was conducted, we found that the ethnicity, cancer type, method, median follow-up time and neoadjuvant therapy are associated with prognosis. Conclusions: Our study shows that negative or loss of expression of PTEN is associated with worse prognosis in patients with cancer. However, adequately designed prospective studies need to be performed for confirmation.

Long-Term Survival of Women with Locally Advanced Breast Cancer with ≥10 Involved Lymph Nodes at Diagnosis

  • Zeichner, Simon Blechman;Cavalcante, Ludimila;Suciu, Gabriel Pius;Ruiz, Ana Lourdes;Hirzel, Alicia;Krill-Jackson, Elisa
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권8호
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    • pp.3435-3441
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    • 2014
  • Background: Axillary lymph node status at diagnosis remains the strongest predictor of long-term survival in breast cancer. Patients with more than ten axillary lymph nodes at diagnosis have a poor long-term survival. In this single institutional study, we set out to evaluate the prognosis of this high-risk group in the era of multimodality therapy. Materials and Methods: In this retrospective study, we looked at all breast cancer patients with greater than ten axillary lymph nodes diagnosed at Mount Sinai Medical Center (MSMC) from January 1st 1990 to December 31st 2007 (n=161). In the univariate analysis, descriptive frequencies, median survival, and 5- and 10-year survival rates were estimated for common prognostic factors. A multivariate prognostic analysis for time-to-event data, using the extended Cox regression model was carried out. Results: With a median and mean follow-up of 70 and 89.9 months, respectively, the overall median survival was estimated to be 99 months. The five-year disease-free survival (DFS) was 59.3% and the ten-year DFS was 37.9%, whereas the five- and ten-year overall survival (OS) was 66.6% and 43.9%, respectively. Multivariate analysis revealed a significant improvement in DFS among black patients compared to whites (p=0.05), improved DFS and OS among young patients (ages 21-45) compared to elderly patients (age greater than 70) (p=0.00176, p=0.0034, respectively), and improved DFS and OS among patients whose tumors were ER positive (p=0.049, p=0.0034). Conclusions: In this single institution study of patients with greater than 10 positive axillary nodes, black patients had a significantly improved DFS compared with white patients. Young age and ER tumor positivity was associated with improved outcomes. Using multivariate analysis, there were no other variables associated with statistically significant improvements in DFS or OS including date of diagnosis. Further work is needed to improve breast cancer survival in this subgroup of patients.