• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.6
• /
• pp.2511-2514
• /
• 2012

Objective: To evaluate the prognostic factors of gallbladder carcinoma. Methods: Presentation, operative data, complications, and survival outcome were examined for 132 gallbladder carcinoma patients who underwent gallbladder surgery in our unit during 2002-2007, and follow-up results were obtained from every patient for univariate and multivariate survival analysis. Results: The univariate analysis showed that gallbladder lesion history, tumor cell differentiation, Nevin staging, preoperative lymph node metastasis and the surgical approach significantly correlated with the prognosis of the patients (p<0.05). The results of the multivariate analysis (Cox regression) showed that gallbladder lesion history, Nevin staging and the surgical approach were independent predicators with relative risks of 6.9, 4.4, 2.8, respectively (p=0.002, 0.003, 0.008). Conclusion: Gallbladder lesion history, Nevin staging and the surgical approach are independent prognostic factors for gallbladder carcinoma, a rapidly fatal disease. Therefore, early diagnosis, anti-infective therapy and radical surgery are greatly needed to improve the prognosis of gallbladder carcinoma.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.4
• /
• pp.1171-1176
• /
• 2012

Objective: The current study aimedto screen for possible factors which affect prognosis of chondrosarcoma. Methods: Thirty seven cases were selected and analyzed statistically. The patients received surgical treatment at our hospital between December 2005 and March 2008. All of them had complete follow-up data. The survival rates were calculated by univariate analysis using the Kaplan-Meier method and tested by Log-rank. ${\chi}^2$ or Fisher exact tests were carried out for the numeration data. The significant indexes after univariate analysis were then analyzed by multivariate analysis using COX regression model. Based on the literature, factors of gender, age, disease course, tumor location, Enneking grades, surgical approaches, distant metastasis and local recurrence were examined. Results: Univariate analysis showed that there were significant differences in Enneking grades, surgical approaches and distant metastasis related to the patients' 3-year survival rate after surgery (P<0.001). No significant difference was not found in gender, age, disease course, tumor location or local recurrence (P>0.05). Multivariate analysis showed that Enneking grade (P=0.007) and surgical approaches (P=0.010) were independent factors affecting the prognosis of chondrosarcoma, but distant metastasis was not (P=0.942). Conclusion: Enneking grades, surgical approaches and distant metastasis are risk factors for prognosis of chondrosarcoma, among which the former two are independent factors.

• Journal of Nutrition and Health
• /
• v.50 no.6
• /
• pp.595-602
• /
• 2017

Purpose: Malnutrition is a major concern in patients with gynecologic cancer receiving chemotherapy. The aim of this study was to evaluate the prognostic significance of malnutrition in patients with gynecologic cancer undergoing chemotherapy. Methods: A prospective, observational study was conducted on a total of 99 subjects who were treated at a tertiary hospital in Korea. Data regarding demographic, clinical, nutritional, and psychological characteristics at baseline and survival were obtained. Results: Performance status, nutritional status, depression, and annual income were significantly different between survivors and non-survivors. Multivariate Cox modeling after adjusting for other factors showed that a malnourished status in patients with gynecologic cancer undergoing chemotherapy was a significant and independent negative influencing factor for survival. Conclusion: These findings provide evidence that adequate nutritional assessment and intervention may assist in improving survival in patients with gynecologic cancer undergoing chemotherapy.

• Communications for Statistical Applications and Methods
• /
• v.25 no.4
• /
• pp.385-396
• /
• 2018

Competing risks are commonly encountered in biomedical research. Regression models for competing risks data can be developed based on data routinely collected in hospitals or general practices. However, these data sets usually contain the covariate missing values. To overcome this problem, multiple imputation is often used to fit regression models under a MAR assumption. Here, we introduce a multivariate imputation in a chained equations algorithm to deal with competing risks survival data. Using pseudo-observations, we make use of the available outcome information by accommodating the competing risk structure. Lastly, we illustrate the practical advantages of our approach using simulations and two data examples from a coronary artery disease data and hepatocellular carcinoma data.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.19
• /
• pp.8101-8105
• /
• 2014

Background: Although mucinous adenocarcinoma has been recognized for a long time, whether it is associated with a poorer prognosis in colorectal cancer patients is still controversial. Many studies put emphasis on mucinous adenocarcinoma containing mucin component ${\geq}50%$. Only a few studies have analyzed cases with a mucin component <50%. Objectives: This study aimed to analyze the prognostic value of different mucin component proportions in patients with stage III rectal cancer. Materials and Methods: Clinical, pathological and follow-up data of 136 patients with the stage III rectal cancer were collected. Every variable was analyzed by univariate analysis, then multivariate analysis and survival analysis were further performed. Results: Univariate analysis showed pathologic T stage, lymphovascular invasion, and histological subtype were statistically significant for DFS. Pathologic T stage was significant for OS. Histological subtype and lymphovascular invasion were independent prognostic factors in multivariate analysis for DFS, and histological subtype was the only independent prognostic factor for OS. Survival curves showed the survival time of mucinous adenocarcinoma (MUC) was shorter than non-MUC (adenocarcinomas with a mucin component <50% and without mucin component). Conclusions: Histological subtype (tumor with different mucin component) was an independent prognostic factor for both DFS and OS. Patients with MUC had a worse prognosis than their non-MUC counterparts with stage III rectal carcinoma.

• Journal of Gastric Cancer
• /
• v.21 no.3
• /
• pp.236-245
• /
• 2021

Purpose: The numeric N stage has replaced the topographic N stage in the current tumor node metastasis (TNM) staging in gastric carcinoma. However, the usefulness of the topographic N stage in the current TNM staging system is uncertain. We aimed to investigate the prognostic value of the topographic N stage in the current TNM staging system. Materials and Methods: We reviewed the data of 3350 patients with gastric cancer who underwent curative gastrectomy. The anatomic regions of the metastatic lymph nodes (MLNs) were classified into 2 groups: perigastric and extra-perigastric. The prognostic value of the anatomic region was analyzed using a multivariate prognostic model with adjustments for the TNM stage. Results: In patients with lymph node metastasis, extra-perigastric metastasis demonstrated significantly worse survival than perigastric metastasis alone (5-year survival rate, 39.6% vs. 73.1%, respectively, P<0.001). Extra-perigastric metastasis demonstrated significantly worse survival within the same pN stage; the multivariate analysis indicated that extra-perigastric metastasis was an independent poor prognostic factor (hazard ratio=1.33; 95% confidence interval=1.01-1.75). The anatomic region of the MLNs improved the goodness-of-fit (likelihood ratio statistics, 4.57; P=0.033) of the prognostic model using the TNM stage. Conclusions: The anatomic region of MLNs has an independent prognostic value in the numeric N stage in the current TNM staging of gastric carcinoma.

• 대한예방의학회:학술대회논문집
• /
• 2002.10a
• /
• pp.445-446
• /
• 2002

• Communications for Statistical Applications and Methods
• /
• v.15 no.6
• /
• pp.969-976
• /
• 2008

Mixed linear models have been widely used in various correlated data including multivariate survival data. In this paper we extend hierarchical-likelihood(h-likelihood) approach for mixed linear models with right censored data to that for left censored data. We also allow a general random-effect structure and propose the estimation procedure. The proposed method is illustrated using a numerical data set and is also compared with marginal likelihood method.

• The Journal of the Korean bone and joint tumor society
• /
• v.5 no.4
• /
• pp.208-215
• /
• 1999

The purpose of this study was to identify the independent clinicopathologic prognostic factors of soft tissue sarcoma affecting local recurrence, metastasis and survival. Retrospectively collected data from 130 patients with soft tissue sarcoma were analyzed. Patient, tumor and pathologic factors were analyzed by univariate and multivariate methods for the endpoints of local recurrence, metastasis and survival. In univariate analysis, wide surgical margin, adjuvant radiotherapy and age younger than 40 years reduced local recurrence. Tumor size larger than 5cm was related with a higher rate of metastasis. Patients with metastasis at initial presentation and with a large tumor size had a low survival rate. In multivariate analysis, adjuvant radiotherapy and young age were significantly correlated with a low local recurrence rate. In conclusion, patients with metastasis at initial presentation and a large tumor size had a reduced survival rate. Independent adverse prognostic factors for local recurrence were old age and not undergoing adjuvant therapy.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.1
• /
• pp.25-28
• /
• 2014

Background: This study analyzed whether socio-economic factors affect the cause specific survival of soft tissue sarcoma (STS). Methods: Surveillance, Epidemiology and End Results (SEER) soft tissue sarcoma (STS) data were used to identify potential socio-economic disparities in outcome. Time to cause specific death was computed with Kaplan-Meier analysis. Kolmogorov-Smirnov tests and Cox proportional hazard analysis were used for univariate and multivariate tests, respectively. The areas under the receiver operating curve were computed for predictors for comparison. Results: There were 42,016 patients diagnosed STS from 1973 to 2009. The mean follow up time (S.D.) was 66.6 (81.3) months. Stage, site, grade were significant predictors by univariate tests. Race and rural-urban residence were also important predictors of outcome. These five factors were all statistically significant with Cox analysis. Rural and African-American patients had a 3-4% disadvantage in cause specific survival. Conclusions: Socio-economic factors influence cause specific survival of soft tissue sarcoma. Ensuring access to cancer care may eliminate the outcome disparities.