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Jae Hwan Oh 2 Articles
Diabetes Mellitus and Site-specific Colorectal Cancer Risk in Korea: A Case-control Study
Hyeongtaek Woo, Jeeyoo Lee, Jeonghee Lee, Ji Won Park, Sungchan Park, Jeongseon Kim, Jae Hwan Oh, Aesun Shin
J Prev Med Public Health. 2016;49(1):45-52.   Published online December 22, 2015
  • 9,592 View
  • 159 Download
  • 12 Crossref
AbstractAbstract PDF
Previous large-scale cohort studies conducted in Korea have found a positive association between diabetes mellitus (DM) and colorectal cancer (CRC) in men only, in contrast to studies of other populations that have found significant associations in both men and women.
A total of 1070 CRC cases and 2775 controls were recruited from the National Cancer Center, Korea between August 2010 and June 2013. Self-reported DM history and the duration of DM were compared between cases and controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by binary and polytomous logistic regression models.
DM was associated with an elevated risk of CRC in both men (OR, 1.47; 95% CI, 1.13 to 1.90) and women (OR, 1.92; 95% CI, 1.24 to 2.98). This association remained when we controlled for age, body mass index, alcohol consumption, and physical activity level. In sub-site analyses, DM was associated with distal colon cancer risk in both men (multivariate OR, 2.04; 95% CI, 1.39 to 3.00) and women (multivariate ORs, 1.99; 95% CI, 1.05 to 3.79), while DM was only associated with rectal cancer risk in women (multivariate OR, 2.05; 95% CI, 1.10 to 3.82). No significant association was found between DM and proximal colon cancer risk in either men (multivariate OR, 1.45; 95% CI, 0.88 to 2.41) or women (multivariate OR, 1.79; 95% CI, 0.78 to 4.08).
Overall, DM was associated with an increased risk of CRC in Koreans. However, potential over-estimation of the ORs should be considered due to potential biases from the case-control design.


Citations to this article as recorded by  
  • The interaction between glycemic index, glycemic load, and the genetic variant ADIPOQ T45G (rs2241766) in the risk of colorectal cancer: a case–control study in a Korean population
    Y-Thanh Lu, Madhawa Gunathilake, Jeonghee Lee, Jae Hwan Oh, Hee Jin Chang, Dae Kyung Sohn, Aesun Shin, Jeongseon Kim
    European Journal of Nutrition.2022; 61(5): 2601.     CrossRef
  • Expression of long non-coding RNA H19 in colorectal cancer patients with type 2 diabetes
    Ming Zhao, Hantao Wang, Jingbo Chen, Yang Xi, Fuyan Wang, Cuilan Huo, Wenwen Li, Yudong Chu, Pengjie Xu, Qin Huang, Shizhong Bu
    Archives of Physiology and Biochemistry.2021; 127(3): 228.     CrossRef
  • Lymphocyte‐to‐monocyte ratio combined with CA19‐9 for predicting postoperative recurrence of colorectal cancer in patients with diabetes
    Dan Yu, Guangyu An, Jiannan Yao
    Journal of Clinical Laboratory Analysis.2021;[Epub]     CrossRef
  • Sex- and site-specific differences in colorectal cancer risk among people with type 2 diabetes
    Jetty A. Overbeek, Josephina G. Kuiper, Amber A. W. A. van der Heijden, Mariette Labots, Ulrike Haug, Ron M. C. Herings, Giel Nijpels
    International Journal of Colorectal Disease.2019; 34(2): 269.     CrossRef
  • Metabolic Syndrome and Risk of Colorectal Cancer: A Case-Control Study
    Elham Davtalab Esmaeili, Khairollah Asadollahi, Ali Delpisheh, Kourosh Sayehmiri, Hosein Azizi
    International Journal of Cancer Management.2019;[Epub]     CrossRef
  • Colorectal Cancer Risks According to Sex Differences in Patients With Type II Diabetes Mellitus: A Korean Nationwide Population-Based Cohort Study
    Ji Min Lee, Kang-Moon Lee, Dae Bum Kim, Seung-Hyun Ko, Yong Gyu Park
    Clinical and Translational Gastroenterology.2019; 10(10): e00090.     CrossRef
  • The association between plasma C-peptide concentration and the risk of prostate cancer: a nested case–control study within a Japanese population-based prospective study
    Grace Y. Kiyabu, Norie Sawada, Motoki Iwasaki, Taiki Yamaji, Taichi Shimazu, Shizuka Sasazuki, Manami Inoue, Shoichiro Tsugane
    European Journal of Cancer Prevention.2018; 27(5): 461.     CrossRef
  • Association between Cardiovascular Risk and Diabetes with Colorectal Neoplasia: A Site-Specific Analysis
    David Niederseer, Isabelle Bracher, Andreas Stadlmayr, Ursula Huber-Schönauer, Martin Plöderl, Slayman Obeid, Christian Schmied, Sabrina Hammerl, Felix Stickel, Dieter Lederer, Wolfgang Patsch, Elmar Aigner, Christian Datz
    Journal of Clinical Medicine.2018; 7(12): 484.     CrossRef
  • Optimal glycemic target level for colon cancer patients with diabetes
    Shin Jun Lee, Jae Hyun Kim, Seun Ja Park, So Young Ock, Su Kyoung Kwon, Young Sik Choi, Bu Kyung Kim
    Diabetes Research and Clinical Practice.2017; 124: 66.     CrossRef
  • Impact of detection bias on the risk of gastrointestinal cancer and its subsites in type 2 diabetes mellitus
    R.G.P.J. de Jong, A.M. Burden, S. de Kort, M.P.P. van Herk-Sukel, P.A.J. Vissers, P.K.C. Janssen, H.R. Haak, A.A.M. Masclee, F. de Vries, M.L.G. Janssen-Heijnen
    European Journal of Cancer.2017; 79: 61.     CrossRef
  • Effects of interactions between common genetic variants and smoking on colorectal cancer
    Nan Song, Aesun Shin, Hye Soo Jung, Jae Hwan Oh, Jeongseon Kim
    BMC Cancer.2017;[Epub]     CrossRef
  • Diabetes-induced mechanophysiological changes in the small intestine and colon
    Mirabella Zhao, Donghua Liao, Jingbo Zhao
    World Journal of Diabetes.2017; 8(6): 249.     CrossRef
Improving the Performance of Risk-adjusted Mortality Modeling for Colorectal Cancer Surgery by Combining Claims Data and Clinical Data
Won Mo Jang, Jae-Hyun Park, Jong-Hyock Park, Jae Hwan Oh, Yoon Kim
J Prev Med Public Health. 2013;46(2):74-81.   Published online March 28, 2013
  • 9,344 View
  • 74 Download
  • 6 Crossref
AbstractAbstract PDF

The objective of this study was to evaluate the performance of risk-adjusted mortality models for colorectal cancer surgery.


We investigated patients (n=652) who had undergone colorectal cancer surgery (colectomy, colectomy of the rectum and sigmoid colon, total colectomy, total proctectomy) at five teaching hospitals during 2008. Mortality was defined as 30-day or in-hospital surgical mortality. Risk-adjusted mortality models were constructed using claims data (basic model) with the addition of TNM staging (TNM model), physiological data (physiological model), surgical data (surgical model), or all clinical data (composite model). Multiple logistic regression analysis was performed to develop the risk-adjustment models. To compare the performance of the models, both c-statistics using Hanley-McNeil pair-wise testing and the ratio of the observed to the expected mortality within quartiles of mortality risk were evaluated to assess the abilities of discrimination and calibration.


The physiological model (c=0.92), surgical model (c=0.92), and composite model (c=0.93) displayed a similar improvement in discrimination, whereas the TNM model (c=0.87) displayed little improvement over the basic model (c=0.86). The discriminatory power of the models did not differ by the Hanley-McNeil test (p>0.05). Within each quartile of mortality, the composite and surgical models displayed an expected mortality ratio close to 1.


The addition of clinical data to claims data efficiently enhances the performance of the risk-adjusted postoperative mortality models in colorectal cancer surgery. We recommended that the performance of models should be evaluated through both discrimination and calibration.



Citations to this article as recorded by  
  • Estimating postoperative mortality in colorectal surgery- a systematic review of risk prediction models
    Alexios Dosis, Jack Helliwell, Aron Syversen, Jim Tiernan, Zhiqiang Zhang, David Jayne
    International Journal of Colorectal Disease.2023;[Epub]     CrossRef
  • Modified Tumor Budding as a Better Predictor of Lymph Node Metastasis in Early Gastric Cancer: Possible Real-World Applications
    Kwangil Yim, Won Mo Jang, Sung Hak Lee
    Cancers.2021; 13(14): 3405.     CrossRef
  • Investigación epidemiológica en cáncer colorrectal: perspectiva, prospectiva y retos bajo la óptica de explotación del Big-Data
    J.M. García Torrecillas, M. Ferrer Márquez, Á. Reina Duarte, F. Rubio-Gil
    SEMERGEN - Medicina de Familia.2016; 42(8): 509.     CrossRef
  • Variation between Hospitals with Regard to Diagnostic Practice, Coding Accuracy, and Case-Mix. A Retrospective Validation Study of Administrative Data versus Medical Records for Estimating 30-Day Mortality after Hip Fracture
    Jon Helgeland, Doris Tove Kristoffersen, Katrine Damgaard Skyrud, Anja Schou Lindman, Alanna M Chamberlain
    PLOS ONE.2016; 11(5): e0156075.     CrossRef
  • Model for risk adjustment of postoperative mortality in patients with colorectal cancer
    K Walker, P J Finan, J H van der Meulen
    British Journal of Surgery.2015; 102(3): 269.     CrossRef
  • Problems With Public Reporting of Cancer Quality Outcomes Data
    Paul Goldberg, Rena M. Conti
    Journal of Oncology Practice.2014; 10(3): 215.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health