Trend of Gastric Cancer after Bayesian Correction of Misclassification Error in Neighboring Provinces of Iran
DOI:
https://doi.org/10.31661/gmj.v8i.1223Keywords:
Bayesian Analysis, Gastric Cancer, IncidenceAbstract
Background: Some errors may occur in the disease registry system. One of them is misclassification error in cancer registration. It occurs because some of the patients from deprived provinces travel to their adjacent provinces to receive better healthcare without mentioning their permanent residence. The aim of this study was to re-estimate the incidence of gastric cancer using the Bayesian correction for misclassification across Iranian provinces. Materials and Methods: Data of gastric cancer incidence were adapted from the Iranian national cancer registration reports from 2004 to 2008. Bayesian analysis was performed to estimate the misclassification rate with a beta prior distribution for misclassification parameter. Parameters of beta distribution were selected according to the expected coverage of new cancer cases in each medical university of the country. Results: There was a remarkable misclassification with reference to the registration of cancer cases across the provinces of the country. The average estimated misclassification rate was between 15% and 68%, and higher rates were estimated for more deprived provinces. Conclusion: Misclassification error reduces the accuracy of the registry data, in turn causing underestimation and overestimation in the assessment of the risk of cancer in different areas. In conclusion, correcting the regional misclassification in cancer registry data is essential for discerning high-risk regions and making plans for cancer control and prevention. [GMJ.2019;8:e1223]Â
Â
References
Stewart BW, Wild CP. World cancer report 2014. Health 2017. http://globocan.iarc.fr Brenner H, Rothenbacher D, Arndt V. Epidemiology of stomach cancer. Methods Mol Biol 2009; 472: 467-77. https://doi.org/10.1007/978-1-60327-492-0_23PMid:19107449 Parkin DM: The global health burden of infectionâ€associated cancers in the year 2002. Int J Cancer 2006; 118(12): 3030-44. https://doi.org/10.1002/ijc.21731PMid:16404738 Arnold M, Karim-Kos HE, Coebergh JW, Byrnes G, Antilla A, Ferlay J, et al. Recent trends in incidence of five common cancers in 26 European countries since 1988: Analysis of the European Cancer Observatory. Eur J Cancer 2015; 51(9): 1164-87. https://doi.org/10.1016/j.ejca.2013.09.002PMid:24120180 Parkin DM. The evolution of the population-based cancer registry. Nat Rev Cancer 2006; 6(8): 603-12. https://doi.org/10.1038/nrc1948PMid:16862191 Pourhoseingholi MA, Vahedi M, Moghimi-Dehkordi B, Pourhoseingholi A, Ghafarnejad F, Maserat E, et al. Burden of hospitalization for gastrointestinal tract cancer patients-Results from a cross-sectional study in Tehran. Asian Pac J Cancer Prev 2009; 10(1): 107-10. Mohagheghi MA, Mosavi-Jarrahi A. Review of cancer registration and cancer data in Iran, a historical prospect. Asian Pac J Cancer Prev 2010; 11(4): 1155-7. Aghajani H, Etemad K, Gouya M, Ramezani R, Modirian M, Nadali F. Iranian Annual of National Cancer Registration Report 2008-2009. 1st ed. Tehran, Tandis 2011; 25-120. Lyles RH. A note on estimating crude odds ratios in case-control studies with differentially misclassified exposure. Biometrics 2002; 58(4): 1034-6. https://doi.org/10.1111/j.0006-341X.2002.1034_1.xPMid:12495160 Corbin M, Haslett S, Pearce N, Maule M, Greenland S. A comparison of sensitivity-specificity imputation, direct imputation and fully Bayesian analysis to adjust for exposure misclassification when validation data are unavailable. Int J Epidemiol 2017; 1;46(3):1063-72. https://doi.org/10.1093/ije/dyx027PMid:28338966 McInturff P, Johnson WO, Cowling D, Gardner IA. Modelling risk when binary outcomes are subject to error. Stat Med 2004; 23(7): 1095-109. https://doi.org/10.1002/sim.1656PMid:15057880 Hajizadeh N, Pourhoseingholi MA, Baghestani AR, Abadi A, Zali MR. Bayesian adjustment of gastric cancer mortality rate in the presence of misclassification. World J Gastrointest Oncol 2017; 9(4):160-5. https://doi.org/10.4251/wjgo.v9.i4.160PMid:28451063 PMCid:PMC5390301 Hajizadeh N, Baghestani AR, Pourhoseingholi MA, Ashtari S, Fazeli Z, Vahedi M, et al. Trend of hepatocellular carcinoma incidence after Bayesian correction for misclassified data in Iranian provinces. World J Hepatol 2017; 9(15): 704-10. https://doi.org/10.4254/wjh.v9.i15.704PMid:28596818 PMCid:PMC5440774 Pourhoseingholi MA, Faghihzadeh S, Hajizadeh E, Abadi A, Zali MR. Bayesian estimation of colorectal cancer mortality in the presence of misclassification in Iran. Asian Pac J Cancer Prev 2009; 10(4): 691-4. Pourhoseingholi MA, Fazeli Z, Zali MR, Alavian SM. Burden of hepatocellular carcinoma in Iran; Bayesian projection and trend analysis. Asian Pac J Cancer Prev 2010; 11(4): 859-62. Pourhoseingholi MA, Abadi A, Faghihzadeh S, Pourhoseingholi A, Vahedi M, Moghimi-Dehkordi B, et al. Bayesian analysis of esophageal cancer mortality in the presence of misclassification. Ital J Public Health 2012; 8(4): 342-7. Paulino CD, Silva G, Achcar JA. Bayesian analysis of correlated misclassified binary data. Comput. Stat Data Anal 2005; 49(4): 1120-31. https://doi.org/10.1016/j.csda.2004.07.004 Stamey JD, Seaman JW, Young D. A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression. Stat Med 2008; 27(13): 2440-52. https://doi.org/10.1002/sim.3134PMid:17979218 Liu Y, Johnson WO, Gold EB, Lasley BL. Bayesian analysis of risk factors for anovulation. Stat Med 2004; 23(12): 1901-19. https://doi.org/10.1002/sim.1773PMid:15195323 Pourhoseingholi MA. Bayesian adjustment for misclassification in cancer registry data. Transl Gastrointest Cancer 2014; 3(4): 144-8. Amoori N, Mahdavi S, Enayatrad M. Epidemiology and trend of stomach cancer mortality in Iran. IJER 2016; 3(3): 268-75. Malekzadeh R, Derakhshan MH, Malekzadeh Z. Gastric cancer in Iran: epidemiology and risk factors. Arch Iran Med 2009; 12(6): 576-83. Mehrabani D, Tabei SZ, Heydari ST, Shamsina SJ, Shokrpour N, Amini M, et al. Cancer occurrence in Fars Province, Southern Iran. Iran Red Crescent Med J 2008; 10(4): 314-22. Zou L, Bao YP, Li N, Dai M, Ma CP, Zhang YZ, et al. Life-style and genital human papillomavirus in a cross-sectional survey in Shanxi Province, China. Asian Pac J Cancer Prev 2011; 12(3): 781-6.
