OBJECTIVES An accurate estimation of cancer patients is the basis of epidemiological studies and health services. However in Korea, cancer patients visiting out-patient clinics are usually ruled out of such studies and so these studies are suspected of underestimating the cancer patient population. The purpose of this study is to construct a more complete, hospital-based cancer patient registry using multiple sources of medical information. METHODS: We constructed a cancer patient detection algorithm using records from various sources that were obtained from both the in-patients and out-patients seen at Asan Medical Center (AMC) for any reason. The medical data from the potentially incident cancer patients was reviewed four months after first being detected by the algorithm to determine whether these patients actually did or did not have cancer. RESULTS: Besides the traditional practice of reviewing the charts of in-patients upon their discharge, five more sources of information were added for this algorithm, i.e., pathology reports, the national severe disease registry, the reason for treatment, prescriptions of chemotherapeutic agents and radiation therapy reports. The constructed algorithm was observed to have a PPV of 87.04%. Compared to the results of traditional practice, 36.8% of registry failures were avoided using the AMC algorithm. CONCLUSIONS: To minimize loss in the cancer registry, various data sources should be utilized, and the AMC algorithm can be a successful model for this. Further research will be required in order to apply novel and innovative technology to the electronic medical records system in order to generate new signals from data that has not been previously used.
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OBJECTIVES A method of estimation using 8 population-based cancer registries databases in Korea (KRCR DB) has been introduced as another strategy for validly estimating the national cancer incidence (NCI) in Korea. The purpose of this study was to evaluate the validity of this method with using the 7 KRCR DBs, excluding Seoul covering 21% of the total population of Korea. METHODS: We designed the study method (NCSE_7) as same as the estimating method with using 8 KRCR DBs (NCSE_8) in order to ensure maximal comparability. We defined the expected number of cancer cases in each registry as the number of observed cases and then we added the weighted observed cases according to gender, age and the proportion of the population covered by each registry for the population of the seven regions and the population of all areas, with excluding these seven regions. From the expected number of total cancer incidents, the estimated NCI was calculated by dividing the expected number of cancer cases by the number of the total population. The standard error (SE) of the estimated incidence was also taken from the expected number of total cancer incidents. RESULTS: Compared with the results of the NCSE_8, the overall age-standardized rates (ASR) in men and women became over-estimated and under-estimated, respectively. Primary sites that showed statistically significant differences were the colo-rectum, prostate, breast and thyroid. The index of death certificate only (DCO)and microscopically verified (MV)% indicating levels of data quality were decreased, especially for the brain in DCO% and kidney in the MV%. CONCLUSIONS: The database of Seoul regional cancer registry has a key role for the method to estimate the valid nationwide cancer statistics in Korea with using the population-based cancer registries' databases.
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Overview of Cancer Registration Research in the Asian Pacific from 2008-2013 Malcolm A. Moore Asian Pacific Journal of Cancer Prevention.2013; 14(8): 4461. CrossRef
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OBJECTIVES Valid data on the national cancer incidence (NCI) is the data should be needed to plan, monitor and evaluate the national cancer control programs. The purpose of this study was to estimate the NCI for 2000-2002 from 8 population-based cancer registries database in Korea (KRCR DB). METHODS: We defined the expected number of cancer cases in each registry as the number of observed cases and then adding to the weighted observed cases, according to sex, age groups, and the proportion of the population covered by each registry for the population of the eight regions and the population of all areas with excluding the 8 regions. From the expected number of total cancer incidents, the estimated NCI was calculated by dividing the expected number of cancer cases by the number of the total population. The standard error (SE) of the estimated incidence was also taken from the expected number of total cancer incidents. RESULTS: The overall estimated crude rates in 2000-2002 were 267.1 and 219.0 per 100,000 for men and women, respectively. The overall age-standardized rates (ASR) were 290.1 and 180.7 per 100,000, respectively. Compared with the ASRs obtained from Korea National Cancer Incidence database (KNCI DB), the estimated ASRs from the KRCR DB did not show statistically significant differences except for some cancers in women. For the aspect of the SE, index of DCO(death certificate only) and of MV(microscopically verified), the estimated ASRs from the KRCR DB are more accurate and they have higher quality rather than the calculated ASRs from the KNCI DB. CONCLUSIONS: We found that this developed method using the KRCR DB is valid and it could be another strategy for estimating the NCI in Korea.
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OBJECTIVES This study aimed to calculate the survival rates of cancer patients in Jeju Island residents from 2000 to 2001, based on their major primary sites of occurrence. METHODS: Data were extracted from the database of the Jejudo Cancer Registry (JCR). The eligible population comprised 2,382 cancer cases, whose cancers were diagnosed from 1 January 2000 through 31 December 2001. Of the eligible population, 1,438 patients with 5 major cancers defined by the level of incidence rates were selected as the study participants. The period of survival for each case was calculated from the date of first diagnosis to the date of death, or the end of follow-up, i.e., 31 December 2003. The observed survival rates (OSR) and relative survival rates (RSR) were calculated according to sex, age-group, and primary sites of occurrence. RESULTS: The 3-year OSR and RSR in 5 major cancers were higher in women than in men except 75 year-old over group. The 3-year RSR of stomach, colorectum, liver, and lung in both sexes were 61.0%, 62.6%, 24.7%, and 22.8%, respectively. The respective rates in JCR showed some statistically significant differences from those in the Korea Central Cancer Registry (KCCR). CONCLUSIONS: These results would suggest some clues about prognostic factors of major cancers in Korean, and could apply to planning and evaluating of cancer control strategies in Jeju Island.
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OBJECTIVE This study was conducted to automatically improve the completeness and validity of the Daegu Cancer Registry, using cross record linkage of many data sources, and to develop a computerized patient enrollment system for efficient communication among cancer researchers via the internet. METHOD: We analyzed 10,229 cancer patients who were reported in the National Cancer Registry, and from pathological reports, health insurance cancer claims lists, cancer patient records at hospital information centers and death certificates from the Korea National Statistical Office. RESULT: We confirmed 4,624 cancer patients and found 897 of new cases from a review of medical chart. The new cases were detected efficiently using cross record linkage. We developed a computerized patient enrollment system, based on a client-server model, for the input of cancer patients, and then developed a web-based reporting homepage and patient enrollment system for the internet. CONCLUSION: This system could manage cancer databases systematically, and could be given to other researchers as a basic database.