• Journal of Gastric Cancer
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• v.17 no.3
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• pp.204-211
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• 2017

Purpose: Recently, a nomogram predicting overall survival after gastric resection was developed and externally validated in Korea and Japan. However, this gastric cancer nomogram is derived from large-volume centers, and the applicability of the nomogram in smaller centers must be proven. The purpose of this study is to externally validate the gastric cancer nomogram using a dataset from a medium-volume center in Korea. Materials and Methods: We retrospectively analyzed 610 patients who underwent radical gastrectomy for gastric cancer from August 1, 2005 to December 31, 2011. Age, sex, number of metastatic lymph nodes (LNs), number of examined LNs, depth of invasion, and location of the tumor were investigated as variables for validation of the nomogram. Both discrimination and calibration of the nomogram were evaluated. Results: The discrimination was evaluated using Harrell's C-index. The Harrell's C-index was 0.83 and the discrimination of the gastric cancer nomogram was appropriate. Regarding calibration, the 95% confidence interval of predicted survival appeared to be on the ideal reference line except in the poorest survival group. However, we observed a tendency for actual survival to be constantly higher than predicted survival in this cohort. Conclusions: Although the discrimination power was good, actual survival was slightly higher than that predicted by the nomogram. This phenomenon might be explained by elongated life span in the recent patient cohort due to advances in adjuvant chemotherapy and improved nutritional status. Future gastric cancer nomograms should consider elongated life span with the passage of time.

• Journal of Trauma and Injury
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• v.18 no.1
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• pp.33-40
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• 2005

Background: This study compared the performance of trauma care in an urban and a suburban hospital before and after the enhancement of emergency and intensive care. Method: The medical records of patients who were admitted to the intensive care unit following trauma from 1994 to 1995 and from 2002 to 2003 were examined. The standardized W (Ws), the 95% confidence interval (CI) of the Ws, and the predicted survival rate (Ps) were calculated. During each period, each hospital's actual survival rate was compared with the 95% CI of the Ps according to the revised trauma score (RTS) and injury severity score (ISS). Spell out RTS and ISS. Result: From 1994 to 1995, 225 and 121 records from the urban and the suburban hospitals were reviewed, respectively. The 95% CI's of the Ws were -2.30 to 2.73 and -11.40 to -5.90, respectively. The actual survival rate of the suburban hospital was significantly lower than the predicted survival rate at all RTS. From 2002 to 2003, 315 and 268 records from the urban and the suburban hospitals were reviewed, respectively. The 95% CI's of the Ws was -3.56 to 0.24 and -3.73 to 0.26, respectively. There was no difference between the actual survival rate and the predicted survival rate. Conclusion: An enlargement of the capacities of emergency and intensive care may improve the performance of trauma care at a small suburban hospital.

• Journal of Trauma and Injury
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• v.24 no.2
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• pp.98-104
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• 2011

Purpose: The aim of this study was to evaluate the quality of the trauma care system of our hospital, in which emergency physicians care for major trauma patients in the emergency intensive care unit (ICU) in consultation with intervention radiologists and surgeons. Methods: This was a retrospective observational study conducted in an emergency ICU of a tertiary referral hospital. We enrolled consecutive patients who had been admitted to our emergency ICU with major trauma from March 2007 to September 2010. We collected data with respect to demographic findings, mechanisms of injury, the trauma and injury severity score (TRISS), emergency surgery, angiographic intervention, and 6-month mortality. Then, we compared the observed and predicted survivals of the patients. The Hosmer-Lemeshow test and calibration plots by using 10 groups, one for each decile, of predicted mortality were used to evaluate the fitness of TRISS. P-values of greater than 0.05 represent a fair calibration. Results: Among 116 patients, 12 (10.34%) were dead within 6 months after admission to the ICU, and 29 (25.00%) and 38 (32.80%) patients received emergency surgery and angiographic intervention, respectively. The mean injury severity score and revised trauma score were $36.97{\pm}17.73$ and $7.84{\pm}6.75$, respectively. The observed survival and the predicted survival of the TRISS were 89.66% (95% confidence interval [CI]: 84.03~95.28%) and 69.85% (95% CI: 63.80~75.91%), respectively. The calibration plots showed that the observed survival of our patients was consistently higher than the predicted survival of the TRISS ($p$ <0.001). Conclusion: The observed survival for the trauma care system of our hospital, in which emergency physicians care for major trauma patients in the emergency ICU in consultation with intervention radiologists and surgeons, was higher than the predicted survival of the TRISS.

• Journal of Preventive Medicine and Public Health
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• v.52 no.2
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• pp.140-144
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• 2019

Objectives: Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer. Methods: In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups. Results: Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively. Conclusions: Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.

• The KSFM Journal of Fluid Machinery
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• v.16 no.2
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• pp.42-47
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• 2013

Ship stability prediction is very complex in reality. In this paper, risk based approach is applied to predict the probability of a certified ship, which is effected by the forces of sea especially the wave loading. Safety assessment and risk analysis process are also applied for the probabilistic prediction of ship stability. The survival probability of ships encountering with different waves at sea is calculated by the existed statistics data and risk based models. Finally, ship capsizing probability is calculated according to single degree of freedom(SDF) rolling differential equation and basin erosion theory of nonlinear dynamics. Calculation results show that the survival probabilities of ship excited by the forces of the seas, especially in the beam seas status, can be predicted by the risk based method.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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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.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8367-8370
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• 2014

The relationship between caveolin-1 (Cav-1) and clinicopathological characteristics of gastric cancer is controversial, although Cav-1 plays an important role in tumor metastasis. To evaluate the clinicopathological and prognostic value of expression in patients with gastric cancer, a meta-analysis was performed to investigate the impact on clinicopathological parameters and prognosis in gastric cancer cases. Studies assessing these parameters for Cav-1 in gastric cancer were identified up to June 2014. Finally, a total of six studies met the inclusion criteria. Our combined results showed that Cav-1 expression was significantly associated with the Lauren classification (pooled OR=0.603, 95% CI: 0.381-0.953, P=0.030). Furthermore, we found that Cav-1 expression predicted a better overall survival in gastric cancer patients (pooled OR=0.590, 95% CI: 0.360-0.970, P=0.038, fixed-effect). In conclusion, the overall data of the present meta analysis showed that Cav-1 expression was not correlated with clinicopathological features except for the Lauren classification. Simultaneously, Cav-1 overexpression predicted a better overall survival in gastric cancer. Cav-1 expression in tumors is a candidate positive prognostic biomarker for gastric cancer patients.

• Journal of Hospice and Palliative Care
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• v.14 no.4
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• pp.197-203
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• 2011

Purpose: Pain is the most common and influential symptom in cancer patients. Few studies concerning pain intensity in the terminally ill cancer patients have been done. This study aimed to identify factors related with more than moderate pain. Methods: This study used secondary data of 162 terminal cancer inpatients at the palliative ward of six training hospitals in Korea. Physician-assessed pain assessment was by 10 point numeric rating scale. Substantial pain was defined more than moderate intensity by the Korean National Guideline for cancer pain. The Korean version of the MD Anderson Symptom Inventory was self-administered to assess symptoms. Survival prediction was estimated by the attending physicians at the time of admission. Results: Less than six weeks of predicted survival and more than numeric rating of six for worst drowsiness in the previous 24 h were significantly related to substantial pain (P=0.012 and P=0.046, respectively). The dose of opioid analgesics was positively related to substantial pain (P=0.004). Conclusion: Factors positively related to substantial pain were less than six weeks of predicted survival and considerable drowsiness. Careful monitoring and active preparation for pain are required in terminal cancer patients having those factors.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.863-866
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• 2016

Background: Extensive efforts have been made to investigate c-KIT expression in lung cancer specimens and its correlation with clinical outcomes, but the issue remains unresolved. Thus, this study will be conducted to clarify the prognostic value of c-KIT expression in lung cancer patients. Materials and Methods: We will search Pubmed, SCOPUS, and ISI web of sciences with no restriction of language. Studies with any design (except case reports or case series) evaluating correlations of c-KIT expression with survival or outcome in patients with lung cancer will be included. The outcome measures will include all types of survival indexes, including overall survival rate and disease free survival using Kaplan-Meier analysis and hazard ratios. Study selection and data extraction will be performed by two independent researchers. Quality assessment (assessment of risk of bias) and data synthesis will be implemented using Stata software version 11.1. Results: No ethical issues are predicted. These findings will be published in a peer-reviewed journal and presented at national and international conferences. Conclusions: This systematic review protocol is registered in the PROSPERO International Prospective Register of Systematic Reviews, registration number = CRD42015023391.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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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.