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      SCOPUS KCI등재

      위암환자에서 의무기록과 행정자료를 활용한 Charlson Comorbidity Index의 1년 이내 사망 및 재원일수 예측력 연구 = Prognostic Impact of Charlson Comorbidity Index Obtained from Medical Records and Claims Data on 1-year Mortality and Length of Stay in Gastric Cancer Patients

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      https://www.riss.kr/link?id=A101437905

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      다국어 초록 (Multilingual Abstract)

      Objectives : We tried to evaluate the agreement of the Charlson comorbidity index values(CCI) obtained from different sources(medical records and National Health Insurance claims data) for gastric cancer patients. We also attempted to assess the prognostic value of these data for predicting 1-year mortality and length of the hospital stay(length of stay). Methods : Medical records of 284 gastric cancer patients were reviewed, and their National Health Insurance claims data and death certificates were also investigated. To evaluate agreement, the kappa coefficient was tested. Multiple logistic regression analysis and multiple linear regression analysis were performed to evaluate and compare the prognostic power for predicting 1 year mortality and length of stay. Results : The CCI values for each comorbid condition obtained from 2 different data sources appeared to poorly agree(kappa: 0.00-0.59). It was appeared that the CCI values based on both sources were not valid prognostic indicators of 1-year mortality. Only medical record-based CCI was a valid prognostic indicator of length of stay, even after adjustment of covariables($\beta$ = 0.112, 95% CI = [0.017-1.267]). Conclusions : There was a discrepancy between the data sources with regard to the value of CCI both for the prognostic power and its direction. Therefore, assuming that medical records are the gold standard for the source for CCI measurement, claims data is not an appropriate source for determining the CCI, at least for gastric cancer.
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      Objectives : We tried to evaluate the agreement of the Charlson comorbidity index values(CCI) obtained from different sources(medical records and National Health Insurance claims data) for gastric cancer patients. We also attempted to assess the progn...

      Objectives : We tried to evaluate the agreement of the Charlson comorbidity index values(CCI) obtained from different sources(medical records and National Health Insurance claims data) for gastric cancer patients. We also attempted to assess the prognostic value of these data for predicting 1-year mortality and length of the hospital stay(length of stay). Methods : Medical records of 284 gastric cancer patients were reviewed, and their National Health Insurance claims data and death certificates were also investigated. To evaluate agreement, the kappa coefficient was tested. Multiple logistic regression analysis and multiple linear regression analysis were performed to evaluate and compare the prognostic power for predicting 1 year mortality and length of stay. Results : The CCI values for each comorbid condition obtained from 2 different data sources appeared to poorly agree(kappa: 0.00-0.59). It was appeared that the CCI values based on both sources were not valid prognostic indicators of 1-year mortality. Only medical record-based CCI was a valid prognostic indicator of length of stay, even after adjustment of covariables($\beta$ = 0.112, 95% CI = [0.017-1.267]). Conclusions : There was a discrepancy between the data sources with regard to the value of CCI both for the prognostic power and its direction. Therefore, assuming that medical records are the gold standard for the source for CCI measurement, claims data is not an appropriate source for determining the CCI, at least for gastric cancer.

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      참고문헌 (Reference)

      1 이택구, "정규 위암수술 시 복강세척 및 배액관 삽입의 유용성에 관한 고찰" 대한외과학회 63 (63): 292-297, 2002

      2 이준호, "위암 환자에서 위 절제술 후 배액관 사용에 대한 무작위 전향적 연구" 대한외과학회 63 (63): 123-128, 2002

      3 이재환, "신세포암의 종양 크기에 따른 복강경 근치적 신적출술 결과" 대한비뇨기과학회 49 (49): 203-207, 2008

      4 서희석, "대장암 수술에서 동반질환의 영향" 대한대장항문학회 19 (19): 299-306, 2003

      5 Birim O, "Validation of the Charlson comorbidity index in patients with operated primary non-small cell lung cancer" 23 (23): 30-34, 2003

      6 Malenka DJ, "Using administrative data to describe casemix: A comparison with the medical record" 47 (47): 1027-1032, 1994

      7 Landis JR, "The measurement of observer agreement for categorical data" 33 (33): 159-174, 1977

      8 Sabin SL, "The impact of comorbidity and age on survival with laryngeal cancer" 78 (78): 578-581-574., 1999

      9 Hall WH, "The impact of age and comorbidity on survival outcomes and treatment patterns in prostate cancer" 8 (8): 22-30, 2005

      10 Satariano WA, "The effect of comorbidity on 3-year survival of women with primary breast cancer" 120 (120): 104-110, 1994

      1 이택구, "정규 위암수술 시 복강세척 및 배액관 삽입의 유용성에 관한 고찰" 대한외과학회 63 (63): 292-297, 2002

      2 이준호, "위암 환자에서 위 절제술 후 배액관 사용에 대한 무작위 전향적 연구" 대한외과학회 63 (63): 123-128, 2002

      3 이재환, "신세포암의 종양 크기에 따른 복강경 근치적 신적출술 결과" 대한비뇨기과학회 49 (49): 203-207, 2008

      4 서희석, "대장암 수술에서 동반질환의 영향" 대한대장항문학회 19 (19): 299-306, 2003

      5 Birim O, "Validation of the Charlson comorbidity index in patients with operated primary non-small cell lung cancer" 23 (23): 30-34, 2003

      6 Malenka DJ, "Using administrative data to describe casemix: A comparison with the medical record" 47 (47): 1027-1032, 1994

      7 Landis JR, "The measurement of observer agreement for categorical data" 33 (33): 159-174, 1977

      8 Sabin SL, "The impact of comorbidity and age on survival with laryngeal cancer" 78 (78): 578-581-574., 1999

      9 Hall WH, "The impact of age and comorbidity on survival outcomes and treatment patterns in prostate cancer" 8 (8): 22-30, 2005

      10 Satariano WA, "The effect of comorbidity on 3-year survival of women with primary breast cancer" 120 (120): 104-110, 1994

      11 Li B, "Risk adjustment performance of Charlson and elixhauser comorbidities in ICD-9 and ICD-10 administrative databases" 8 : 12-, 2008

      12 Greenfield S, "Patterns of care related to age of breast cancer patients" 257 (257): 2766-2770, 1987

      13 Sundararajan V, "New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality" 57 (57): 1288-1294, 2004

      14 Hall SF, "Measuring comorbidity in patients with head and neck cancer" 112 (112): 1988-1996, 2002

      15 Soares M, "Impact of two different comorbidity measures on the 6-month mortality of critically ill cancer patients" 31 (31): 408-415, 2005

      16 Lubke T, "Does Charlsoncomorbidity index correlate with short-term outcome in patients with gastric cancer?" 128 (128): 970-976, 2003

      17 Klabunde CN, "Development of a comorbidity index using physician claims data" 53 (53): 1258-1267, 2000

      18 Klabunde CN, "Data sources for measuring comorbidity: A comparison of hospital records and medicare claims for cancer patients" 44 (44): 921-928, 2006

      19 Newschaffer CJ, "Comorbidity measurement in elderly female breast cancer patients with administrative and medical records data" 50 (50): 725-733, 1997

      20 Matsui K, "Comorbidity as a correlate of length of stay for hospitalized patients with acute chest pain" 11 (11): 262-268, 1996

      21 Quan H, "Coding algorithms for defining comorbidities in ICD-9-cm and ICD-10 administrative data" 43 (43): 1130-1139, 2005

      22 Humphries KH, "Co-morbidity data in outcomes research are clinical data derived from administrative databases a reliable alternative to chart review?" 53 (53): 343-349, 2000

      23 Librero J, "Chronic comorbidity and outcomes of hospital care: Length of stay, mortality, and readmission at 30 and 365 days" 52 (52): 171-179, 1999

      24 Birim O, "Charlson comorbidity index as a predictor of long-term outcome after surgery for nonsmall cell lung cancer" 28 (28): 759-762, 2005

      25 Ogle KS, "Cancer and comorbidity" 88 (88): 653-663, 2000

      26 Klabunde CN, "Assessing comorbidity using claims data: An overview" 40 (40): IV26-IV35, 2002

      27 Luthi JC, "Administrative data outperformed single-day chart review for comorbidity measure" 19 (19): 225-231, 2007

      28 Romano PS, "Adapting a clinical comorbidity index for use with ICD-9-cm administrative data: Differing perspectives" 46 (46): 1075-1079, 1993

      29 Deyo RA, "Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases" 45 (45): 613-619, 1992

      30 Lee EK, "A study on predict of health outcomes in patients undergoing operation for gastric cancer by Charlson comorbidity index [dissertation]" Korea University 2008

      31 Charlson ME, "A new method of classifying prognostic comorbidity in longitudinal studies:Development and validation" 40 (40): 373-383, 1987

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-06-28 학술지명변경 외국어명 : The Korean Journal of Preventive Medicine -> Journal of Preventive Medicine and Public Health KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.3 0.3 0.39
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.31 0.32 0.784 0.13
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