• Journal of Korea Planning Association
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• v.54 no.5
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• pp.76-90
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• 2019

The purpose of this study is to analyze the survival characteristics of the restaurant business by trade area type (major and side street). By the increase of the unemployment rate, the new foundation of selt-employment type is increasing. However, due to high competition and economic recession, the sustainability of new foundation is not high. Therefore, in this study, survival analysis was performed considering the individual and commercial characteristics focused on the ordinary restaurants. The major findings are as follow. First, the characteristics of parcel unit and adjacent area have a significant effect on the survival. This means the micro-scopic spatial characteristics should be considered for survival in the location choice. Second, the regional economic characteristics in trade area have a significant effect on survival. Furthermore, these characteristics are different by the trade area type. Third. the development characteristics have a different effect on survival by the building usage and trade area type. Finally, regional economic characteristics have a significant effect on survival. These results are expected to be used as basic data for commercial location selection and trade area analysis system in the private and public sectors.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2225-2229
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• 2013

Background: As data on the relation between obesity and lymph node ratio are missing in the literature, we here aimed to assess the impact of obesity on this parameter and other clinicopathological features of breast cancer cases and patient survival. Materials and Methods: Medical data of 646 patients, all referred to two centers in Tehran, Iran, were reviewed. Factors that showed significant association on univariate analysis were entered in a regression model. Kaplan-Meier and Cox-regression were employed for survival analysis. Results: Obesity was correlated with the expression of estrogen and progesterone receptor (p=0.004 and p=0.039, respectively), metastasis to axillary lymph nodes (p=0.017), higher lymph node rate (p<0.001) and larger tumor size (p<0.001). The effect of obesity was stronger in premenopausal women. There was no association between obesity and expression of human epidermal growth factor receptor. Three factors showed independent association with BMI on multivariate analysis; tumor size, estrogen receptor and lymph node ratio. Obesity was predictive of shorter disease-free survival with a hazard ratio of 3.324 (95%CI: 1.225-9.017) after controlling for the above-mentioned variables. Conclusions: The findings of this study support the idea that obese women experience more advanced disease with higher axillary lymph node ratio, and therefore higher stage at the time of diagnosis. Furthermore, obesity was associated with poorer survival independent of lymph node rate.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5601-5605
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• 2014

Background: Agrocybe aegerita Lectin (AAL) has been identified to have high affinity for sulfated and ${\alpha}2$-3-linked sialic acid glycoconjugates, especially the sulfated and sialyl TF (Thomsen-Friedenreich) disaccharide. This study was conducted to investigate the clinicopathological and prognostic value of AAL in identifying aberrant glycosylation in colorectal cancer (CRC). Materials and Methods: Glycoconjugate expression in 59 CRC tissues were detected using AAL-histochemistry. Clinicopathological associates of expression were analyzed with chisquare test or Fisher's exact test. Relationships between expression and the various clinicopathological parameters was estimated using Kaplan-Meier analysis and Cox regression models. Results: AAL specific glycoconjugate expression was significantly higher in tumor than corresponding normal tissues (66.1% and 46.1%, respectively, p=0.037), correlating with depth of invasion (p=0.015) and TNM stage (p=0.024). Patients with lower expression levels had a significantly higher survival rate than those with higher expression (p=0.046 by log rank test and p=0.047 by Breslow test for overall survival; p=0.054 by log rank test and P=0.038 by Breslow test for progress free survival). A marginally significant association was found between AAL specific glycoconjugate expression and overall survival by univariate Cox regression analysis (p=0.059). Conclusions: Lower AAL specific glycoconjugate expression is a significant favorable prognostic factor for overall and progress free survival in CRC. This is the first report about the employment of AAL for histochemical analysis of cancer tissues. The binding characteristics of AAL means it has potential to become a powerful tool for the glycan investigation and clinical application.

• Journal of Korean Biological Nursing Science
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• v.24 no.1
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• pp.17-25
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• 2022

Purpose: To determine the prognostic role of muscle area and muscle radiation attenuation in the erector spinae (ES) and multifidus (MF) muscles in patients undergoing gastrectomy. Methods: Patients with stage I-III gastric cancer undergoing gastrectomy were retrospectively enrolled in this study. Clinicopathologic characteristics were collected and analyzed. Both paraspinal muscle index of ES/MF muscles (PMI_EM) and paraspinal muscle radiation attenuation in the same muscles (PMRA_EM) were analyzed at the 3rd lumbar level using axial computed tomographic images. Cox regression analysis was applied to estimate overall survival (OS) and disease-free survival (DFS). Results: There was only a weak correlation between PMI_EM and PMRA_EM (r= 0.28). Multivariate Cox regression revealed that PMRA_EM, but not PMI_EM, was an important determinant of survival. PMRA_EM along with age, tumor-node-metastasis (TNM) stage, perineural invasion, and serum albumin level were significant determinants of both OS and DFS that constituted Model 1. Harrell's concordance index and integrated area under receiver operating characteristic curve were greater for Model 1 than for Model 2 (consisting of the same covariates as Model 1 except PMRA_EM) or Model 3 (consisting of only TNM stage). Conclusion: PMRA_EM, but not PMIEM, was an important determinant of survival. Because there was only a weak correlation between PMI_EM and PMRA_EM in this study, it was presumed that they were mutually exclusive. Model 1 consisting of age, TNM stage, perineural invasion, serum albumin level, and PMRA_EM was greater than nested models (i.e., Model 2 or Model 3) in predicting survival outcomes.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.4101-4105
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• 2016

Background: Mortality among Iranian patients with colorectal cancer has not been fully examined and the factors associated with their survival are still controversial. This study aimed to determine the mortality rate and its related factors among the patients with colorectal cancer in southwestern regions in Iran. Materials and Methods: This prospective cohort study was conducted on 220 patients with colorectal cancer referred to Fahighi Hospital, Shiraz, Iran from 2009 to 2014. Data were collected from the patients' medical records and were analyzed using Cox regression analysis. Results: Over a median follow-up of 29.3 months, 56 out of the 220 patients (25.5%) died, 32 (14.5%) aged below 40 years, and 45.5% were female. Based on the results of multiple Cox regression analysis, family history of gastrointestinal cancer, stage III, former smoking, type of lesion (fungative and polypoid), and opium use were associated with a greater risk of colorectal cancer mortality (all P<0.05). Conclusions: This cohort study found that the mortality rate of colorectal cancer in Iran is lower than that in European countries. In addition, behavioral and clinical factors were significantly associated with the survival rate. Addressing the related factors would help healthcare providers and physicians provide the best care and improve the survival rate.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5883-5888
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• 2014

Background: Breast cancer is the most common cancers in female populations. The exact cause is not known, but is most likely to be a combination of genetic and environmental factors. Log-logistic model (LLM) is applied as a statistical method for predicting survival and it influencing factors. In recent decades, artificial neural network (ANN) models have been increasingly applied to predict survival data. The present research was conducted to compare log-logistic regression and artificial neural network models in prediction of breast cancer (BC) survival. Materials and Methods: A historical cohort study was established with 104 patients suffering from BC from 1997 to 2005. To compare the ANN and LLM in our setting, we used the estimated areas under the receiver-operating characteristic (ROC) curve (AUC) and integrated AUC (iAUC). The data were analyzed using R statistical software. Results: The AUC for the first, second and third years after diagnosis are 0.918, 0.780 and 0.800 in ANN, and 0.834, 0.733 and 0.616 in LLM, respectively. The mean AUC for ANN was statistically higher than that of the LLM (0.845 vs. 0.744). Hence, this study showed a significant difference between the performance in terms of prediction by ANN and LLM. Conclusions: This study demonstrated that the ability of prediction with ANN was higher than with the LLM model. Thus, the use of ANN method for prediction of survival in field of breast cancer is suggested.

• Industry Promotion Research
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• v.7 no.1
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• pp.1-8
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• 2022

We investigated various types of machine learning methods that can be applied to censored data. Exploratory data analysis reveals the distribution of each feature, relationships among features. Next, classification problem has been set up where the dependent variable is death_event while the rest of the features are independent variables. After applying various machine learning methods to the data, it has been found that just like many other reports from the artificial intelligence arena random forest performs better than logistic regression. But recently well performed artificial neural network and gradient boost do not perform as expected due to the lack of data. Finally Kaplan-Meier and Cox proportional hazard model have been employed to explore the relationship of the dependent variable (t_i, δ_i) with the independent variables. Also random forest which is used in machine learning has been applied to the survival analysis with censored data.

• Journal of the Korean Statistical Society
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• v.25 no.4
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• pp.567-576
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• 1996

The multiprocess dynamic survival model is proposed for the application of the regression model on the analysis of survival data with time-varying effects of covariates : where the survival data consists of numbers of deaths at certain time-points. The algorithm for the recursive estimation of a time-varying parameter vector is suggested. Also the algorithm of forecasting of numbers of deaths of each group in the next time interval based on the information gathered until the end of current time interval is suggested.

• The Korean Journal of Emergency Medical Services
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• v.24 no.2
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• pp.7-26
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• 2020

Purpose: This study aimed to identify the factors affecting the survival outcomes of out-of-hospital cardiac arrest based on the Sudden Cardiac Arrest Survey by the Korean Centers for Disease Control and Prevention from 2012 to 2016. Methods: Out of 84,776 cases, 57,104 cases of cardiac arrest were analyzed. To identify the factors that affect survival outcomes after a sudden cardiac arrest (SCA), we performed a logistic regression using SPSS. We also performed a multilevel analysis using SAS to determine whether the survival outcomes were affected by the socioeconomic level and health index of the communities. Results: When SCA was witnessed by someone, the possibility of discharge with survival outcomes increased by a factor of 4.54. If CPR was administered immediately in emergency situations, this possibility further increased. When defibrillation was performed before hospitalization, the possibility was increased by a factor of 10.31. The multilevel analysis reflected the personal and regional factors that had an impact on the survival outcomes. Conclusion: Because the initial response in SCA is crucial, a community response system is essential before hospitalization. It is necessary to actively publicize and educate the people because the their understanding, sympathy, and cooperation in emergency situations play a role in determining the survival outcomes of the patients.

• Journal of Korean Dental Science
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• v.14 no.2
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• pp.61-68
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• 2021

Purpose: The aim of this study was to investigate the outcomes of endodontic treatment of mandibular second molar with C-shaped canal in elderly patients and related factors affecting the survival of the tooth. Materials and Methods: From 2010 to 2015, the survival rate following endodontic treatment was evaluated in elderly patients over 60 years who visited the Veterans Health Service Medical Center for endodontic treatment. The presence of C-shaped canals was confirmed using clinical records and radiographic features. Patient's age, sex, systemic diseases, tooth location, vitality, signs and symptoms, fractures, caries, apical radiolucency, canal shaping methods, sealer leakage, filling voids, and restoration of prosthesis were included in the analyses as confounding variables. The survival rate of teeth was analyzed using Kaplan-Meire analysis and the relationship between the survival rate and variables was analyzed using Simple and Multiple Cox regression analysis. Result: In total, 107 teeth in elderly patients had C-shaped canal. The survival rate of teeth that received endodontic treatment was 63.70%. None of the factors investigated significantly influenced the survival rate (P>0.05). Conclusion: In elderly patients with C-shaped canal, the survival rate after root canal treatment was not significantly different from that of other mandibular molars.