• Journal of Information Technology Services
• /
• v.18 no.4
• /
• pp.151-170
• /
• 2019

This study conducted an empirical analysis through the Kaplan-Meier method, which is mainly used for clinical experiment analysis, on the survival rate and the survival duration of small and medium-sized enterprises using B2B e-commerce guarantee provided by credit guarantee institutions for activating B2B e-commerce transactions. The variables presented in this study are analyzed by the subdivision of the survival characteristics of enterprises using B2B e-commerce guaranteee by year, enterprises attribute, representative attribute, and guarantee use amount based on the variables tested through previous studies. According to the empirical analysis, SMEs using B2B e-commerce guarantees have a higher survival rate compared to general enterprises Simply by year and have a variety of survival characteristics, and most of the variables have a significant effect except for some variables. The implication of this study is that the researches conducted on enterprises participating in B2B e-commerce for a long period of time to support the establishment of stable business environment of SMEs and the results of empirical analysis on the survival characteristics are useful information to the stakeholders of B2B e-commerce And it can contribute to enhance the survival rate of related enterprises.

• Clinical and Experimental Pediatrics
• /
• v.53 no.11
• /
• pp.965-970
• /
• 2010

Purpose: The life expectancy of patients with spinal muscular atrophy (SMA) type I is generally considered to be less than 2 years. Recently, with the introduction of proactive treatments, a longer survival and an improved survival rate have been reported. In this study, we analyzed the natural courses and survival statistics of SMA type I patients and compared the clinical characteristics of the patients based on their survival periods. Methods: We reviewed the medical records of 14 pediatric patients diagnosed with SMA type I during a 9-year period. We examined the demographic and clinical characteristics of these patients, calculated their survival probabilities, and plotted survival curves as on the censoring date, January 1, 2010. We also compared the characteristics of the patients who died before the age of 24 months (early-death, ED group) and those who survived for 24 months or longer (long-survival, LS group). Results: The mean survival time was $22.8{\pm}2.0$ months. The survival probabilities at 6 months, 12 months, 18 months, 24 months, and 30 months were 92.9%, 92.9%, 76.0%, 76.0%, and 65.1%, respectively. Birth weight was the only factor that showed a statistically significant difference between the ED and LS groups ($P$=0.048). Conclusion: In this study, the survival probabilities at 2 years were far greater than expected. Because of the limited number of patients and information in this study, the contribution of improved supportive care on longer survival could not be clarified; this may be elucidated in larger cohort studies.

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.7
• /
• pp.4325-4328
• /
• 2013

Introduction: The influence of season at diagnosis on cancer survival has been an intriguing issue for many years. Most studies have shown a possible correlation in between the seasonality and some cancer type survival. With short expected survival, lung cancer is an arena that still is in need of new prognostic factors and models. We aimed to investigate the effect of season of diagnosis on 3 months, 1 and 2 years survival rates and overall survival of non small cell lung cancer patients. Materials and Methods: The files of non small cell lung cancer patients that were stages IIIB and IV at diagnosis were reviewed retrospectively. According to diagnosis date, the patients were grouped into 4 season groups, autumn, winter, spring and summer. Results: A total of 279 advanced non small cell lung cancer patients' files were reviewed. Median overall survival was 15 months in the entire population. Overall 3 months, 1 and 2 years survival rates were 91.0%, 58.2% and 31.2% respectively. The season of diagnosis was significantly correlated with 3 months survival rates, being diagnosed in spring being associated with better survival. Also the season was significantly correlated with T stage of the disease. For 1 and 2 years survival rates and overall survival, the season of diagnosis was not significantly correlated. There was no correlation detected between season and overall survivals according to histological subtypes of non small cell lung cancer. Conclusion: As a new finding in advanced non small cell lung cancer patients, it can be concluded that being diagnosed in spring can be a favorable prognostic factor for short term survival.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
• /
• v.29 no.5
• /
• pp.315-322
• /
• 2003

Background : Important factors to determine treatment method and prognosis of oral cancer are anatomical site, tumor size, metastatic lesion, histologic cell differenciation and microvascular invasion. Anatomical site has great effect to oral cancer patient's survival rate because each site's accessibility and lymph node metastasis is different but this factor was't studied much than other factors. Patients and Methods : 228 patients with squamous cell carcinoma of common primary sites(Mandible, Maxilla, Floor of Mouth and Tongue) in oral cavity who were diagnosed in the Korea Cancer Center Hospital from January 1989 to December 1999, were clinically studied and analyzed on survival rate. Results : 1. Survival rates of each anatomical sites were Tongue(36.8%), Mandible(33.3%), Maxilla(28.7%) and Floor of Mouth(24.5%). Survival rates difference between Tongue and Floor of Mouth has significance(p<0.05). 2. Survival rates for early cancer of each site were Maxilla(100%), Mandible(57.1%), Tongue(54.2%) and Floor of Mouth(46.7%). Survival rates difference between Maxilla and Floor of Mouth has significance(p<0.05). 3. Survival rates by surgery method of each site were Maxilla(60.6%), Tongue(56.9%), Mandible(44.8%) and Floor of Mouth(26.3%). Survival rates difference between Maxilla and Floor of Mouth has significance(p<0.05). 4. Survival rates by radiation or chemo method of each site were Floor of Mouth(23.5%), Mandible(20.0%), Maxilla(9.5%), and Tongue(9.1%). Survival rates difference between each site doesn't have significance(p>0.05). 5. In advance stage, Survival rates by single therapy of each site were Tongue(33.6%), Mandible(23.5%), Floor of Mouth(16.7%), Maxilla(0%), and Survival rates difference between Maxilla and Tongue has significance (p<0.05). Survival rates by combination therapy of each site were Mandible(38.1%), Maxilla(30.0%), Floor of mouth(18.2%), Tongue(12.5%), and Survival rates difference between Mandible and Tongue has significance(p<0.05). Conclusion : Survival rate of tongue is higher than the other sites, early detection of oral cancer can increase survival rate at any site and combination therapy is the most effetive method, especially at maxilla.

• Journal of Korean Neurosurgical Society
• /
• v.60 no.6
• /
• pp.661-666
• /
• 2017

Objective : Atypical meningioma is rare tumor and there is no accurate guide line for optimal treatment. This retrospective study analyzed the prognostic factors, the effect of different methods of treatments and the behavior of atypical meningioma. Methods : Thirty six patients were diagnosed as atypical meningioma, among 273 patients who were given a diagnosis of meningioma in the period of 2002 to 2015. Age, gender, tumor location, Ki 67, Simpson grade and treatment received were analyzed. We studied the correlation between these factors with recurrence, overall survival rate and progression free survival. Results : Median overall survival time and progression free survival time are 60 and 53 (months). Better survival rate was observed for patients less than 50 years old but with no statistical significance (p=0.322). And patients with total resection compared with subtotal resection also showed better survival rate but no statistical significance (p=0.744). Patients with a tumor located in skull base compared with patients with a tumor located in brain convexity and parasagittal showed better progression free survival (p=0.048). Total resection is associated with longer progression-free survival than incomplete resection (p=0.018). Conclusion : We confirmed that Simpson grade was significant factor for statistically affect to progression free survival in univariate analysis. In case of skull base atypical tumor, it is analyzed that it has more recurrence than tumor located elsewhere. Overall survival was not affected statistically by patient age, gender, tumor location, Ki 67, Simpson grade and treatment received in this study.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.7
• /
• pp.3067-3072
• /
• 2015

Cervical cancer is the most common malignant cancer of the female reproductive organs worldwide. Currently, cervical cancer can be prevented by vaccination and detected at an early stage via various screening methods. Malaysia, as a developing country faces a heavy disease burden of cervical cancer as it is the second most common cancer among Malaysian women. This population based study was carried out to fulfil the primary aim of determining the survival rates of Malaysian women with cervical cancer and associated factors. Data were obtained from two different sources namely, the Malaysian National Cancer Registry (MNCR) and National Health Informatics Centre (NHIC) from 1st January 2000 to 31st December 2005. Kaplan Meier analyses were conducted to identify the overall survival rates and median survival time. Differences in survival among different ethnic and age group were compared using the log-rank test. A total of 5,859 patients were included. The median survival time for cervical cancer in this study was 65.8 months and the 5-year survival rate was 71.1%. The overall observed survival rates at 1, 3 and 5 years were 94.1%, 79.3% and 71.1% respectively. The log-rank test finding also showed that there were significant differences in the 5-year survival rate among different ethnic groups. Malays had the lowest survival rate of 59.2% followed by Indians (69.5%) and Chinese (73.8%). The overall 5-year survival rate among patients with cervical cancer in Malaysia is relatively good. Age and ethnic groups remain as significant determining factors for cervical cancer survival rate.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.14
• /
• pp.5853-5858
• /
• 2015

Background: The survival rate reflecting prognosis of breast cancer patients is usually estimated based on crude survival methods such as observed and cause-specific. In situations where data are based on population-cancer registries, this method may produce biased estimations. This study therefore aimed to estimate the net survival of breast cancer based on relative survival. Materials and Methods: Data for 622 breast cancer patients diagnosed at the Iran Cancer Institute during 1990-95 and tracked till the end of 2000 were analyzed. For estimation of relative survival, Ederer's second method and SAS (9.1) and STATA (11) software were used. Results: Threeyear relative survivals of 85%, 90%, 80% and 67% were observed for age groups 15-44, 55-59, 60-74, and 75+years-old, respectively. A relative survival of approximately one was observed for two subsequent years for age-group 45-59 years-old. A value greater than one for two subsequent years of follow-up was observed in the age-group 60-74 years-old. Conclusions: Tracking the diagnosis of breast cancer, the relative survival decreases as we go to higher age-groups. It is also perceived that through follow-up, relative survival first decreased and then increased a little. The statistical cure point is acceptable for age group 45-59 years-old while for age-groups 15-44 and 60-74 years old is a sign of low quality data for some follow-up intervals.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.13
• /
• pp.5237-5242
• /
• 2015

Background: Socioeconomic factors are associated with screening in terms of reducing the risk of cervical cancer. This study aimed to clearly establish the effect of screening on variation in socio-economic factor-specific survival estimates. Materials and Methods: Survival estimates were calculated using the life table method for 165 women from the routine care control arm and 67 from the visual inspection with acetic acid screening arm diagnosed with cervical cancer during 2000-2006 in rural south India. Kaplan-Meier survival curves were plotted to compare the variation in survival by socioeconomic factors. Results: Whereas there was a significant variation in survival estimates of the different categories of age at diagnosis among the screen-detected cancers with women aged<50 years having an improved survival, no significant variation was noted among women diagnosed with cervical cancer from the control arm. Compared to the variation among the cancer cases detected in the unscreened control group, screening widened the variation in survival estimates by age and type of house, and reduced the variation by education. The direction of the magnitude of the survival estimates was reversed within the different categories of occupation, marital status and household income in the screen-detected cancer cases compared to control group cancer cases. Also, women diagnosed with stage 1 disease had a very good survival. Conclusions: Screening changed the pattern of survival by socio-economic factors. We found improved survival rates in screened women aged <50 years, with no formal education, manual workers and married women.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.14
• /
• pp.5571-5575
• /
• 2014

Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease. To develop a predictive inference for determining the survival of breast cancer patients, we applied a novel Bayesian method. In this paper, we propose the development of a databased statistical probability model and application of the Bayesian method to predict future survival times for White Hispanic female breast cancer patients, diagnosed in the US during 1973-2009. Materials and Methods: A stratified random sample of White Hispanic female patient survival data was selected from the Surveillance Epidemiology and End Results (SEER) database to derive statistical probability models. Four were considered to identify the best-fit model. We used three standard model-building criteria, which included Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) to measure the goodness of fit. Furthermore, the Bayesian method was used to derive future survival inferences for survival times. Results: The highest number of White Hispanic female breast cancer patients in this sample was from New Mexico and the lowest from Hawaii. The mean (SD) age at diagnosis (years) was 58.2 (14.2). The mean (SD) of survival time (months) for White Hispanic females was 72.7 (32.2). We found that the exponentiated Weibull model best fit the survival times compared to other widely known statistical probability models. The predictive inference for future survival times is presented using the Bayesian method. Conclusions: The findings are significant for treatment planning and health-care cost allocation. They should also contribute to further research on breast cancer survival issues.

• Health Policy and Management
• /
• v.31 no.1
• /
• pp.35-45
• /
• 2021

Background: As a descriptive study targeting 2,068 cancer patients as men of national merit in 2013, this study aims to provide the basic data for systematizing the early diagnosis and treatment of cancer by comparatively analyzing the 5-year survival rate. Methods: This study researched the survival of cancer patients through Electronic Medical Record and Patriots-Veterans Qualification Program, targeting 2,068 newly-diagnosed cancer patients verified in five veterans hospitals and consigned management system. This study verified differences between general characteristics of cancer patients as men of national merit and analyzed their survival rate. Results: The cancer patients as men of national merit were super-aged as their average age was 72.5. In the analysis of general characteristics of five major prevalent cancers, there were statistically significant differences according to age, region, cancer diagnostic path, differentiation, diagnostic method, treatment method, SEER stage, and survival period, except for the types of the man of national merit (p<0.001). The whole survival rate of cancer patients as men of national merit was 50%. The 5-year survival rates of predisposing cancers were shown as prostate cancer (79%), colorectal cancer (64%), gastric cancer (57%), liver cancer (32%), and lung cancer (12%). In the cancer diagnostic path, all the predisposing cancers showed the highest survival rate in medical examination. In the treatment method, the surgery showed the highest survival rate. The cancer patients as men of national merit showed a lower survival rate than the general cancer patients of Korea. Conclusion: It would be needed to guarantee the honorable and happy life through health recovery as special treatment of contribution and sacrifice of super-aged men of national merit by increasing the cancer survival rates through regular checkup, early diagnosis, and high-quality treatment system that could have important effects on the survival rate according to the occurrence of cancers.