• 대한암한의학회지
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• 제24권2호
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• pp.1-11
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• 2019

Objectives : We investigated whether a single center nutrition screening tool (Kyunghee Neo Nutrition Risk Screening, KNNRS) can predict survival in patients with metastatic cancer. Methods : We retrospectively reviewed data of inpatients with metastatic cancer from April 2016 to August 2019. Data on demographic and clinical parameters were collected from electronic medical records, and overall survival was estimated using the Kaplan-Meier method. Stepwise Cox regression analysis was used to determine factors associated with survival. Patients with a KNNRS score of 0 to 3 were classified as "no-risk", 4 to 10 as "low-risk", and 11 to 20 as "high-risk". Results : Total 105 patients were included in the study. According to nutritional screening at baseline, 25 patients (23.8%, median age 57.0) were classified as ""no risk"" group; 80 patients (76.2%, median age 68.5) as "low risk" group; No patients as "high risk" group. Predictors of survival were Eastern Cooperative Oncology Group Performance Status score of 3 or 4 (hazard ratio [HR] = 1.93; 95% confidence interval [CI] = 1.21-3.10), hemoglobin less than 10 g/dL (HR = 1.97; 95% CI = 1.25-3.10) and C-reactive protein more than 1.0 mg/dL (HR = 1.95; 95% CI = 1.21-3.13). Kaplan-Meier survival analysis showed significant differences in the survival between KNNRS groups: ""no risk"" group: 6.1 ± 1.4 months (95% CI = 3.37-8.83); ""low risk"" group: 3.4 ± 0.9 months (95% CI = 1.5-5.37). Conclusions : Nutritional status according to KNNRS wasn't significant predictor of survival for patients with metastatic cancer. Improvement of KNNRS score thresholds is needed.

• Asian Pacific Journal of Cancer Prevention
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• 제17권1호
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• pp.401-406
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• 2016

Background: Cholangiocarcinoma is relatively rare worldwide. Most previous reports collected only patients with pathological diagnosis. In fact, however, many patients coming to hospital are diagnosed by clinical suspicion with radiologic imaging and receive treatment without histological confirmation. Real survival data and outcome of each treatment, especially for patients that do not have histologic confirmation, are lacking. In this study, therefore, we aimed to analyze the survival rates of CCA patients and the proportions of patients receiving different treatments. Materials and Methods: A total of 270 patients clinically suspected of CCA and visiting Srinagarind Hospital in May-July 2010, were prospectively followed until December 2014. After checking their clinical records, 163 of 270 patients were finally diagnosed as having CCA, and the data of this group were analyzed for survival rate and received treatments. Results: Of the 163 patients, 96 (58.9%) had intrahepatic, 56 (34.4%) had perihilar and 11 (6.7%) had distal CCA. The majority [107 (65.6%, 95%CI, 57.8-73.0)] received only supportive care. Overall median survival was 4 months (95%CI, 3.3-4.7), and 2-years survival was only 8.1% (95%CI,4.5-12.9). However, the 4 year survival of the R0 resection group was 100%. Conclusions: The present results show that the prognosis of CCA is very poor in North-east Thailand. Most CCA patients receive only treatment to alleviate symptoms due to their advanced stage of disease. Complete surgical resection at the early stage is the only treatment that significantly improves patient survival.

• Asian Pacific Journal of Cancer Prevention
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• 제14권8호
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• pp.4661-4666
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• 2013

Background: The wide spectrum of clinical features in advanced stages of non-small cell lung cancer (NSCLC) probably contributes to disparities in outcomes because of different prognostic variables significant for stage IIIB/IV patients. Hence the aim of this study was to check for favorable response of patients to various chemotherapeutic combinations with respect to patient survival in stage IIIB and stage IV NSCLC disease. We selected those patients for our study who were receiving treatment with paclitaxel, gemcitabine or etoposide in combination with platinum based drugs. Materials and Methods: Seventy-two patients who visited the hospital from June 2009 to November 2012 with confirmed diagnosis of lung cancer were included, and data were collected for follow up and classified according to treatment received with respect to patients' regimen and response, and overall survival. This study analyzed tumor variables that were associated with clinical outcome in advanced NSCLC patients who were undergoing first-line chemotherapy for stage IIIB/IV NSCLC. Results: Comparative data on various parameters like age, gender, stage, histology, site of disease, metastatic site and chemo-regimens was analyzed; these parameters predicted variable significant improvement for overall survival ($p{\geq}0.05$). One and two year survival rates were 20.8% and 15.3%. Conclusions: In this study we found slight improvement in survival rates in NSCLC and clinical outcomes with one combination (carboplatin+paclitaxel). Overall there were only marginal differences in survival rates for other chemo-regimens evaluated in this study.

• Molecules and Cells
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• 제47권2호
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• pp.100011.1-100011.3
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• 2024

Online application for survival analysis (OASIS) and its update, OASIS 2, have been widely used for survival analysis in biological and medical sciences. Here, we provide a portable version of OASIS, an all-in-one offline suite, to facilitate secure survival analysis without uploading the data to online servers. OASIS portable provides a virtualized and isolated instance of the OASIS 2 webserver, operating on the users' personal computers, and enables user-friendly survival analysis without internet connection and security issues.

• Communications for Statistical Applications and Methods
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• 제13권1호
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• pp.101-111
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• 2006

One of the most widely used method of handling missingness in microarray data is the kNN(k Nearest Neighborhood) method. Recently Li and Gui (2004) suggested, so called PCR(Partial Cox Regression) method which deals with censored survival times and microarray data efficiently via kNN imputation method. In this article, we try to show that the way to treat missingness eventually affects the further statistical analysis.

• Journal of the Korean Statistical Society
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• 제32권1호
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• pp.25-32
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• 2003

In this paper, we define the mean life process for the right censored data and show the asymptotic equivalence between two kinds of the mean life processes. We use the Kaplan-Meier and Susarla-Van Ryzin estimates as the estimates of survival function for the construction of the mean life processes. Also we show the asymptotic equivalence between two mean residual life processes as an application and finally discuss some difficulties caused by the censoring mechanism.

• International Journal of Reliability and Applications
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• 제2권1호
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• pp.49-56
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• 2001

In this paper we consider empirical Bayes estimation of the hazard rate and survival probabilities with right censored data under the assumption that the hazard function is constant over the period of observation and the prior distribution is gamma. We provide an estimator of the first derivative of the prior moment generating function that converges at each point to the true value in $L_2$ and use it to obtain, easy to compute, asymptotically optimal estimators under the squared error loss function.

• 벤처창업연구
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• 제13권5호
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• pp.63-72
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• 2018

본 연구의 목적은 청년창업보증을 지원 받은 청년창업기업의 비재무정보를 활용하여 비모수적 방법인 카플란마이어 분석(Kaplanr-Meier Analysis)으로 생존율 및 생존특성에 대해 분석하였다. 창업자의 연령을 20대와 30대로 구분하여 생존특성별 평균생존시간을 추정하고 생존시간에 영향을 미치는 주요 변수를 분석하였다. 연구대상은 2014년 신용보증기관에서 청년창업보증을 지원 받은 기업 3825개가 표본으로 선정되었으며, 이중 정상기업는 3242개, 부실기업는 583개이다. 연구대상기간은 2011년 1월 1일부터 2017년 12월 31일까지로 정하여 생존분석을 실시하였다. 분석결과 창업자의 연령별 구분 결과 20대는 3개의 변수가 30대는 5개의 변수가 유의한 변수로 도출되어 20대와 30대의 창업자 연령에 따른 차이가 발생하고 있다. 창업지원기관과 금융기관은 창업자 연령을 구분한 신용평가시스템의 개발이 필요하며, 20대 창업자의 특성을 반영할 수 있는 정보를 찾아내고, 20대 창업자를 위한 전용 금융상품의 개발이 필요하다. 또한 생존시간이 긴 창업기업에 대해서는 유망중소기업으로 성장할 수 있도록 단계별 지원방안이 필요하며, 생존시간이 짧은 기업에 대해서는 금융지원과 경영컨설팅 등 비금융지원의 활성화가 필요하다. 본 연구는 청년창업기업의 비재무정보를 이용하여 생존분석을 수행하였다는 점에서 의의가 있으며, 이와 같은 생존분석결과는 창업지원기관과 창업자에게 창업기업의 생존특성 정보를 제공하여 창업기업의 생존율을 높이는데 기여할 것이다.

• 한국환경과학회지
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• 제23권8호
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• pp.1495-1505
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• 2014

The objective of this study was to evaluate survival rate and fish movement (migration) using a tagging approach of passive integrated transponder (PIT) in Juksan Weir, which was constructed as a four major river restoration projects. For this study, survival rates of each fish species and the mobility of fish individuals were analyzed during 2 weeks by the insertion of PIT tags to various fish species in the laboratory. According to tagging tests in the laboratory, the survival rate 37.5% (30 survivals of 80 individuals) after the insertion of PIT tags. The survival rate of Carassius auratus and Hemibarbus labeo was 100% and 80% after the insertion of the tags, respectively, whereas it was only 13.3% for Zacco platypus. In the field experiments of Juksan Weir, 6 species and 157 individuals from 8 species (563 individuals) were detected in the fixed automatic data-logging system, indicating a detection rate of 27.9% in the fishway of Juksan Weir. In the meantime, some species with no or low detection rates in the fixed automatic data-logging system were turn out to be stagnant-type species, which prefer stagnant or standing water to live.

• Asian Pacific Journal of Cancer Prevention
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• 제14권9호
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• pp.5043-5047
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• 2013

Background: This is a part of a larger effort to characterize the effects on socio-economic factors (SEFs) on cancer outcome. Surveillance, Epidemiology and End Result (SEER) bone and joint sarcoma (BJS) data were used to identify potential disparities in cause specific survival (CSS). Materials and Methods: This study analyzed SEFs in conjunction with biologic and treatment factors. Absolute BJS specific risks were calculated and the areas under the receiver operating characteristic (ROC) curve were computed for predictors. Actuarial survival analysis was performed with Kaplan-Meier method. Kolmogorov-Smirnov's 2-sample test was used to for comparing two survival curves. Cox proportional hazard model was used for multivariate analysis. Results: There were 13501 patients diagnosed BJS from 1973 to 2009. The mean follow up time (SD) was 75.6 (90.1) months. Staging was the highest predictive factor of outcome (ROC area of 0.68). SEER stage, histology, primary site and sex were highly significant pre-treatment predictors of CSS. Under multivariate analysis, patients living in low income neighborhoods and rural areas had a 2% and 5% disadvantage in cause specific survival respectively. Conclusions: This study has found 2-5% decrement of CSS of BJS due to SEFs. These data may be used to generate testable hypothesis for future clinical trials to eliminate BJS outcome disparities.