Ontology highlight
ABSTRACT: Background
The mortality-to-incidence ratio (MIR) is a marker that reflects the clinical outcome of cancer treatment. MIR as a prognostic marker is more accessible when compared with long-term follow-up survival surveys. Theoretically, countries with good health care systems would have favorable outcomes for cancer; however, no report has yet demonstrated an association between gallbladder cancer MIR and the World's Health System ranking.Methods
We used linear regression to analyze the correlation of MIRs with the World Health Organization (WHO) rankings and total expenditures on health/gross domestic product (e/GDP) in 57 countries selected according to the data quality.Results
The results showed high crude rates of incidence/mortality but low MIR in more developed regions. Among continents, Europe had the highest crude rates of incidence/mortality, whereas the highest age-standardized rates (ASR) of incidence/mortality were in Asia. The MIR was lowest in North America and highest in Africa (0.40 and 1.00, respectively). Furthermore, favorable MIRs were correlated with good WHO rankings and high e/GDP (p = 0.01 and p = 0.030, respectively).Conclusions
The MIR variation for gallbladder cancer is therefore associated with the ranking of the health system and the expenditure on health.
SUBMITTER: Wang CC
PROVIDER: S-EPMC6670146 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Wang Chi-Chih CC Tsai Ming-Chang MC Wang Shao-Chuan SC Peng Cheng-Ming CM Lee Hsiang-Lin HL Chen Hsuan-Yi HY Yang Tzu-Wei TW Lin Chun-Che CC Sung Wen-Wei WW
BMC public health 20190731 1
<h4>Background</h4>The mortality-to-incidence ratio (MIR) is a marker that reflects the clinical outcome of cancer treatment. MIR as a prognostic marker is more accessible when compared with long-term follow-up survival surveys. Theoretically, countries with good health care systems would have favorable outcomes for cancer; however, no report has yet demonstrated an association between gallbladder cancer MIR and the World's Health System ranking.<h4>Methods</h4>We used linear regression to analy ...[more]