• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.347-352
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• 2016

Background: This study used receiver operating characteristic curve to analyze Surveillance, Epidemiology and End Results (SEER) adenosquamous carcinoma data to identify predictive models and potential disparities in outcome. Materials and Methods: This study analyzed socio-economic, staging and treatment factors available in the SEER database for adenosquamous carcinoma. For the risk modeling, each factor was fitted by a generalized linear model to predict the cause specific survival. An area under the receiver operating characteristic curve (ROC) was computed. Similar strata were combined to construct the most parsimonious models. Results: A total of 20,712 patients diagnosed from 1973 to 2009 were included in this study. The mean follow up time (S.D.) was 54.2 (78.4) months. Some 2/3 of the patients were female. The mean (S.D.) age was 63 (13.8) years. SEER stage was the most predictive factor of outcome (ROC area of 0.71). 13.9% of the patients were un-staged and had risk of cause specific death of 61.3% that was higher than the 45.3% risk for the regional disease and lower than the 70.3% for metastatic disease. Sex, site, radiotherapy, and surgery had ROC areas of about 0.55-0.65. Rural residence and race contributed to socioeconomic disparity for treatment outcome. Radiotherapy was underused even with localized and regional stages when the intent was curative. This under use was most pronounced in older patients. Conclusions: Anatomic stage was predictive and useful in treatment selection. Under-staging may have contributed to poor outcome.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.353-356
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• 2016

Background: This study used receiver operating characteristic curve to analyze Surveillance, Epidemiology and End Results (SEER) for glassy cell carcinoma data to identify predictive models and potential disparities in outcome. Materials and Methods: This study analyzed socio-economic, staging and treatment factors. For risk modeling, each factor was fitted by a generalized linear model to predict the cause specific survival. Area under the receiver operating characteristic curves (ROCs) were computed. Similar strata were combined to construct the most parsimonious models. A random sampling algorithm was used to estimate modeling errors. Risk of glassy cell carcinoma death was computed for the predictors for comparison. Results: There were 79 patients included in this study. The mean follow up time (S.D.) was 37 (32.8) months. Female patients outnumbered males 4:1. The mean (S.D.) age was 54.4 (19.8) years. SEER stage was the most predictive factor of outcome (ROC area of 0.69). The risks of cause specific death were, respectively, 9.4% for localized, 16.7% for regional, 35% for the un-staged/others category, and 60% for distant disease. After optimization, separation between the regional and unstaged/others category was removed with a higher ROC area of 0.72. Several socio-economic factors had small but measurable effects on outcome. Radiotherapy had not been used in 90% of patients with regional disease. Conclusions: Optimized SEER stage was predictive and useful in treatment selection. Underuse of radiotherapy may have contributed to poor outcome.

• Safety and Health at Work
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• v.7 no.2
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• pp.124-129
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• 2016

Background: Work-related fatigue has a strong impact on performance and safety but so far, no agreed upon method exists to detect and quantify it. It has been suggested that work-related fatigue cannot be quantified with just one test alone, possibly because fatigue is not a uniform construct. The purpose of this study is therefore to measure work-related fatigue with multiple tests and then to determine the underlying factorial structure. Methods: Twenty-eight employees (mean: 36.11; standard deviation 13.17) participated in five common fatigue tests, namely, posturography, heart rate variability, distributed attention, simple reaction time, and subjective fatigue before and after work. To evaluate changes from morning to afternoon, t tests were conducted. For further data analysis, the differences between afternoon and morning scores for each outcome measure and participant (${\Delta}$ scores) were submitted to factor analysis with varimax rotation and each factor with the highest-loading outcome measure was selected. The ${\Delta}$ scores from tests with single and multiple outcome measures were submitted for a further factor analysis with varimax rotation. Results: The statistical analysis of the multiple tests determine a factorial structure with three factors: The first factor is best represented by center of pressure (COP) path length, COP confidence area, and simple reaction time. The second factor is associated with root mean square of successive difference and useful field of view (UFOV). The third factor is represented by the single ${\Delta}$ score of subjective fatigue. Conclusion: Work-related fatigue is a multidimensional phenomenon that should be assessed by multiple tests. Based on data structure and practicability, we recommend carrying out further studies to assess work-related fatigue with manual reaction time and UFOV Subtest 2.

• Journal of The Korean Society of Clinical Toxicology
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• v.18 no.1
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• pp.18-25
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• 2020

Purpose: We studied the impact of arterial oxygen tension (PaO₂) on the long term neurologic outcome in patients with acute carbon monoxide poisoning. Methods: The study population included 311 patients who presented to emergency department with acute CO poisoning from January 2015 to January 2018. These patients underwent arterial blood gas testing at the time of presentation. The baseline demographic, clinical, laboratory, and clinical outcome data were recorded. The primary outcome of interest was the long term neurologic status. Results: The normoxia group was significantly older and it had a higher incidence of diffusion weighted MRI abnormality, and this group needed multiple HBO sessions compared to the group with moderate or severe hyperoxia. Also, the incidence of altered mentality at discharge was higher in the normoxia group than that of the moderate hyperoxia group. The incidence of a poor long term neurologic outcome was 11.3%. The incidence of a poor long term neurologic outcome decreased as the PaO₂ increased. The PaO₂ was significantly lower in patients with a poor long term neurologic outcome than that of the patients with a good outcome 198 (165.2 to 231.1) mmHg in the good outcome group vs. 154 (119-162) mmHg in poor outcome, p<0.001). In multivariate logistic regression analysis, PaO₂ was selected as an independent factor of the poor long-term neurologic outcome (OR 0.981 (95% CI: 0.968 to 0.995)) Conclusion: Higher PaO₂ was independently associated with a lower incidence of a poor long-term neurologic outcome.

• Journal of Korean Neurosurgical Society
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• v.52 no.3
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• pp.167-171
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• 2012

Objective : The aim of this study was to compare clinical characteristics of ruptured aneurysms in young adults, of the third and fourth decades of life, and to compare several clinical characteristics affecting the outcome of patients. Methods : We retrospectively investigated 1459 patients who underwent surgery and endovascular treatment for ruptured cerebral aneurysms from June 1992 to December 2010 and compared clinical characteristics. We also reviewed pre-existing medical conditions and perioperative complications. Results : Among 1459 patients, there were 21 patients (1.44%) in the third decade and 104 patients (7.13%) in the fourth decade of life. Within two age groups, 88 (70.4%) were male and 37 (29.6%) were female, a ratio of 2.37 : 1. In both groups, we observed the anterior cerebral artery (ACA) aneurysm with the most frequency (p=0.028). In general, favorable outcome was achieved in both age groups (90.5% and 81.7%, respectively). An initial univariate analysis showed Hunt-Hess grade, Fisher grade, location of aneurysm, and rebleeding significantly associated with outcome after aneurysm rupture. Further, multivariate analysis demonstrated that only Hunt-Hess grade (grade 4-5) was a risk factor for the outcome (odds ratio=9.730, 95% confidence interval 2.069-45.756, p=0.004). Conclusion : The incidence of subarachnoid hemorrhage (SAH) was higher in the male population of the third and fourth decades of life. Aneurysms on the ACA were most frequently occurred in both age groups and the outcome of aneurysmal SAH among the third and fourth decades was favorable. Multivariate analysis revealed that high Hunt-Hess grade was a risk factor for patient's outcome.

• Korean Journal of Biological Psychiatry
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• v.8 no.1
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• pp.47-52
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• 2001

It is known that the personality is the crucial factor in the treatment outcome of depression. The authors tried to identify the results of such studies and various components which determine the treatment outcome of depression. Nearly 60 papers published between the year 1990 and 2000 about the treatment of depression and personality were reviewed. Among them about 30 papers were selected to compare the research methods, results and discussions. The arguments and critics of the papers were discussed. In the many debates, the authors admitted the fact that premorbid personality trait influences the treatment outcome of depression negatively regardless of treatment method. Subtyping of depression is feasible along the presence of good or bad predictors of treatment outcome for depression. Differentiation of depression and personality seems to have no problem, however test of personality state before the development of psychiatric disorder such as depression is not amenable. For example, cluster A personality trait is often misunderstood as depression in clinical setting. In some cases cognitive behavioral therapy is effective in the treatment of depression accompanying personality disorder. The authors insist that the analysis of personality in the dimensional aspect rather than in the categorical aspect gives more information in the research of personality influencing the treatment outcome of depression. In addition, the reason why we understand the relationship between depression and personality were discussed.

• Clinical and Experimental Reproductive Medicine
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• v.4 no.2
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• pp.35-43
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• 1977

A total of 636 patients of primary infertility were analyzed by computer on the basis of statistical evaluation of etiological factors and therapy with the outcome of the pregnancy. In this report, it included the results of the study analyzed the single etioligic factors responsible for the primary infertility with the outcome of the pregnancy. 1. Two hundred and fourty one patients out of a total 636(37.9%) achieved pregnancy. 2. Four hundred and fifty nine patients out of a total 636(72%) had a single etuiologic factor responsible for the primary infertility. 3. One hundred and seventy six patients out of 459 parients (38.3%) who had a single etiologic factor responsible for the primary infertility achieved a pregnancy. 4. The endometriosis was the most frequent responsible factor for the primary infertility. 5. The success rate of the pregnancy was different in each etioligic factor responsible for the primary infertility. The highest success rate of the pregnancy was in the patients who had the intermediate factor responsible for the primary infertility as much as 66.7% of the patients. 6. The expectancy of the pregnancy in terms of the duration of the therapy and the follow-up was variable and depended upon the etiologic factor of the primary infertility.

• Journal of Korea Technology Innovation Society
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• v.17 no.2
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• pp.380-420
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• 2014

We increasingly see the importance of employees acquiring enough expert capability or innovation capability to prepare for ever growing uncertainties in their operation domains. However, despite the above circumstances, there have not been an enough number of researches on how operational input components for employees' innovation outcome, innovation activities such as acquisition, exercise and promotion effort of employee's innovation capability, and their resulting innovation outcome interact with each other. This trend is believed to have been resulted because most of the current researches on innovation focus on the units of country, industry and corporate entity levels but not on an individual corporation's innovation input components, innovation outcome and innovation activities themselves. Therefore, this study intends to avoid the currently prevalent study frames and views on innovation and focus more on the strategic policies required for the enhancement of an organization's innovation capabilities by quantitatively analyzing employees' innovation outcomes and their most suggested relevant innovation activities. The research model that this study deploys offers both linear and structural model on the trio of learning, innovation capability and innovation outcome, and then suggests the 4 relevant hypotheses which are quantitatively tested and analyzed as follows: Hypothesis 1] The different levels of innovation capability produce different innovation outcomes (accepted, p-value = 0.000<0.05). Hypothesis 2] The different amounts of learning time produce different innovation capabilities (rejected, p-value = 0.199, 0.220>0.05). Hypothesis 3] The different amounts of learning time produce different innovation outcomes. (accepted, p-value = 0.000<0.05). Hypothesis 4] the innovation capability acts as a significant parameter in the relationship of the amount of learning time and innovation outcome (structural modeling test). This structural model after the t-tests on Hypotheses 1 through 4 proves that irregular on-the-job training and e-learning directly affects the learning time factor while job experience level, employment period and capability level measurement also directly impacts on the innovation capability factor. Also this hypothesis gets further supported by the fact that the patent time absolutely and directly affects the innovation capability factor rather than the learning time factor. Through the 4 hypotheses, this study proposes as measures to maximize an organization's innovation outcome. firstly, frequent irregular on-the-job training that is based on an e-learning system, secondly, efficient innovation management of employment period, job skill levels, etc through active sponsorship and energization community of practice (CoP) as a form of irregular learning, and thirdly a model of Yί=f(e, i, s, t, w)+${\varepsilon}$ as an innovation outcome function that is soundly based on a smart system of capability level measurement. The innovation outcome function is what this study considers the most appropriate and important reference model.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.9
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• pp.4091-4094
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• 2014

Background: This study used the receiver operating characteristic curve (ROC) to analyze Surveillance, Epidemiology and End Results (SEER) bronchioaveolar carcinoma data to identify predictive models and potential disparity in outcomes. Materials and Methods: Socio-economic, staging and treatment factors were assessed. For the risk modeling, each factor was fitted by a Generalized Linear Model to predict cause specific survival. The area under the ROC was computed. Similar strata were combined to construct the most parsimonious models. A random sampling algorithm was used to estimate modeling errors. Risk of cause specific death was computed for the predictors for comparison. Results: There were 7,309 patients included in this study. The mean follow up time (S.D.) was 24.2 (20) months. Female patients outnumbered male ones 3:2. The mean (S.D.) age was 70.1 (10.6) years. Stage was the most predictive factor of outcome (ROC area of 0.76). After optimization, several strata were fused, with a comparable ROC area of 0.75. There was a 4% additional risk of death associated with lower county family income, African American race, rural residency and lower than 25% county college graduate. Radiotherapy had not been used in 2/3 of patients with stage III disease. Conclusions: There are socio-economic disparities in cause specific survival. Under-use of radiotherapy may have contributed to poor outcome. Improving education, access and rates of radiotherapy use may improve outcome.

• Culinary science and hospitality research
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• v.20 no.5
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• pp.76-83
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• 2014

This article examines the effects of education service quality of culinary education facility on the learning outcome. For this, items for figuring out the relation between education service quality and the learning outcomes has been deducted through IPA regarding education service quality. Further, the factors of education service, which is for verifying the effects of relevant experiences (culinary certificate) have been examined according to advanced studies. Self administered questionnaires have been prepared by 231 samples in total and the collected data have been analyzed through frequency, factor, reliability and regression analyzing methods by using SPSS 18.0. The results from paired t-test performed on the importance and performance of culinary education service quality indicate that expertise, level of knowledge, education method of instructor and additional convenience facilities (locker and lounge etc) are the most important factors respectively. The results from IPA analysis show that the quadrant 1 includes knowledge level, education method, kindness of instructor. The quadrant 2 contains awareness of instructor while the third one includes culinary facility, tool structure and convenience facility. In addition the quadrant 4 includes hygiene of learning place. According to the results from hypothesis test, education service quality affects learning outcome and the experience (certificate) of learner from culinary education facility results in difference in education service quality and awareness of learning outcome therefore the hypothesis is partially verified.