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Human development index is associated with mortality-to-incidence ratios of gastrointestinal cancers 被引量:3

Human development index is associated with mortality-to-incidence ratios of gastrointestinal cancers
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摘要 AIM:To identify the role of human development in the incidence and mortality rates of gastrointestinal cancers worldwide.METHODS:The age-standardized incidence and mortality rates for gastrointestinal cancers,including cancers of the esophagus,stomach,pancreas,liver,gallbladder,and colorectum,were obtained from the GLOBOCAN 2008 database and United States Cancer Statistics(USCS)report.The human development index(HDI)data were calculated according to the 2011 Human Development Report.We estimated the mortality-toincidence ratios(MIRs)at the regional and national levels,and explored the association of the MIR with development levels as measured by the HDI using a modified"drug dose to inhibition response"model.Furthermore,countries were divided into four groups according to the HDI distribution,and the MIRs of the four HDI groups were compared by one-way ANOVA followed by the Tukey-Kramer post-hoc test.Statespecific MIRs in the United States were predicted from the estimated HDI using the fitted non-linear model,and were compared with the actual MIRs calculated from data in the USCS report.RESULTS:The worldwide incidence and mortality rates of gastrointestinal cancers were as high as 39.4and 54.9 cases per 100000 individuals,respectively.Linear and non-linear regression analyses revealed an inverse correlation between the MIR of gastrointestinal cancers and the HDI at the regional and national levels(<0;P=0.0028 for regional level and<0.0001 for national level,ANOVA).The MIR differed significantly among the four HDI areas(very high HDI,0.620±0.033;high HDI,0.807±0.018;medium HDI,0.857±0.021;low HDI,0.953±0.011;P<0.001,oneway ANOVA).Prediction of the MIRs for individual United States states using best-fitted non-linear models showed little deviation from the actual MIRs in the United States.Except for 28 data points(9.93%of282),the actual MIRs of all gastrointestinal cancers were mostly located in the prediction intervals via the best-fit non-linear regression models.CONCLUSION:The inverse correlation between HDI and MIR demonstrates that more developed areas have a relatively efficacious healthcare system,resulting in low MIRs,and HDI can be used to estimate the MIR. AIM: To identify the role of human development in the incidence and mortality rates of gastrointestinal cancers worldwide. METHODS: The age-standardized incidence and mortality rates for gastrointestinal cancers, including cancers of the esophagus, stomach, pancreas, liver, gallbladder, and colorectum, were obtained from the GLOBOCAN 2008 database and United States Cancer Statistics (USCS) report. The human development index (HDI) data were calculated according to the 2011 Human Development Report. We estimated the mortality-to-incidence ratios (MIRs) at the regional and national levels, and explored the association of the MIR with development levels as measured by the HDI using a modified 'drug dose to inhibition response' model. Furthermore, countries were divided into four groups according to the HDI distribution, and the MIRs of the four HDI groups were compared by one-way ANOVA followed by the Tukey-Kramer post-hoc test. State-specific MIRs in the United States were predicted from the estimated HDI using the fitted non-linear model, and were compared with the actual MIRs calculated from data in the USCS report. RESULTS: The worldwide incidence and mortality rates of gastrointestinal cancers were as high as 39.4 and 54.9 cases per 100000 individuals, respectively. Linear and non-linear regression analyses revealed an inverse correlation between the MIR of gastrointestinal cancers and the HDI at the regional and national levels (beta < 0; P = 0.0028 for regional level and < 0.0001 for national level, ANOVA). The MIR differed significantly among the four HDI areas (very high HDI, 0.620 +/- 0.033; high HDI, 0.807 +/- 0.018; medium HDI, 0.857 +/- 0.021; low HDI, 0.953 +/- 0.011; P < 0.001, one-way ANOVA). Prediction of the MIRs for individual United States states using best-fitted non-linear models showed little deviation from the actual MIRs in the United States. Except for 28 data points (9.93% of 282), the actual MIRs of all gastrointestinal cancers were mostly located in the prediction intervals via the best-fit non-linear regression models. CONCLUSION: The inverse correlation between HDI and MIR demonstrates that more developed areas have a relatively efficacious healthcare system, resulting in low MIRs, and HDI can be used to estimate the MIR. (c) 2013 Baishideng. All rights reserved.
机构地区 Department of Surgery
出处 《World Journal of Gastroenterology》 SCIE CAS 2013年第32期5261-5270,共10页 世界胃肠病学杂志(英文版)
基金 Supported by The National Natural Science Funds for Distinguished Young Scholars No.30925033 the Innovation and High-Level Talent Training Program of Department of Health of Zhejiang Province China
关键词 GASTROINTESTINAL NEOPLASMS Mortality-toincidence ratio Human development index Healthcare DISPARITIES SOCIOECONOMIC factors Gastrointestinal neoplasms Mortality-to-incidence ratio Human development index Healthcare disparities Socioeconomic factors
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  • 1Freddie Bray,Ahmedin Jemal,Nathan Grey,Jacques Ferlay,David Forman.Global cancer transitions according to the Human Development Index (2008–2030): a population-based study[J].Lancet Oncology.2012(8)
  • 2Amit R. Patel,Sandip M. Prasad,Ya-Chen Tina Shih,Scott E. Eggener.The Association of the Human Development Index With Global Kidney Cancer Incidence and Mortality[J].The Journal of Urology.2012(6)
  • 3Leon Gouws,David Eedes,Ernst Marais,Praneet Valodia,Martin De Villiers.Revolutionising cancer care in South Africa[J].Lancet Oncology.2012(5)
  • 4Paula Braveman,Susan Egerter,David R. Williams.The Social Determinants of Health: Coming of Age[J].Annual Review of Public Health.2011
  • 5David Lieberman.Progress and Challenges in Colorectal Cancer Screening and Surveillance[J].Gastroenterology.2010(6)
  • 6Joseph F. Perz,Gregory L. Armstrong,Leigh A. Farrington,Yvan J.F. Hutin,Beth P. Bell.The contributions of hepatitis B virus and hepatitis C virus infections to cirrhosis and primary liver cancer worldwide[J].Journal of Hepatology.2006(4)
  • 7Goodarz Danaei,Stephen Vander Hoorn,Alan D Lopez,Christopher JL Murray,Majid Ezzati.Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors[J].The Lancet.2005(9499)
  • 8Kevin Fiscella,Peter Franks,Mark P. Doescher,Barry G. Saver.Disparities in Health Care by Race, Ethnicity, and Language Among the Insured: Findings From a National Sample[J].Medical Care.2002(1)
  • 9William D. Dupont,Walton D. Plummer.Power and Sample Size Calculations for Studies Involving Linear Regression[J].Controlled Clinical Trials.1998(6)
  • 10EA Baker,MM Metzler,S Galea.Addressing social determinants of health inequities: learning from doing[].American Journal of Public Health.2005

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