| Literature DB >> 28659584 |
Shao-Chuan Wang1,2,3, Wen-Wei Sung1,2,3,4,5, Yu-Lin Kao1,2,3, Tzuo-Yi Hsieh1,2,3, Wen-Jung Chen1,2,3, Sung-Lang Chen6,7,8, Horng-Rong Chang9,10,11.
Abstract
The variation in the mortality-to-incidence ratio (MIR) between countries and genders reflects the complex etiology and intervention of bladder cancer. In this study, we investigated the MIR variation between genders and health care disparities among countries. Cancer incidence and mortality were obtained from the GLOBOCAN 2012 database. The ranking and the total expenditure on health of countries were obtained from the World Health Organization. Linear regression was used to estimate the significance between variables. We estimated the role of MIRs from 33 countries. Bladder cancer incidence and mortality rates were higher in more developed regions, Europe, and the Americas. The MIRs were higher in less developed regions. Analysis according to country revealed Germany to have the lowest MIR. High relative MIRs (female MIR/male MIR) for bladder cancer were noted in many developed countries. A correlation between MIR and health care disparities among countries was indicated by a significant association between the World Health Organization ranking and total expenditure on health/GDP with the MIR and relative MIR. Low bladder cancer MIR is prone to be more prevalent in countries with good health care system.Entities:
Mesh:
Year: 2017 PMID: 28659584 PMCID: PMC5489533 DOI: 10.1038/s41598-017-04083-z
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Summary of bladder cancer crude rate of incidence, mortality, and mortality-to-incidence ratio of 184 countries according to regions.
| Region | Incidence, number | Mortality, number | Incidence, crude rate1 | Mortality, crude rate1 | Mortality-to-incidence ratio | Relative MIR | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | Female | Male | Total | Female | Male | Total | Female | Male | Total | Female | Male | Total | Female | Male | ||
| World | 429,793 | 99,413 | 330,380 | 165,084 | 42,033 | 123,051 | 6.1 | 2.8 | 9.3 | 2.3 | 1.2 | 3.5 | 0.38 | 0.43 | 0.38 | 1.14 |
| Development | ||||||||||||||||
| More developed regions | 253,843 | 57,766 | 196,077 | 79,938 | 21,024 | 58,914 | 20.4 | 9.0 | 32.4 | 6.4 | 3.3 | 9.7 | 0.31 | 0.37 | 0.30 | 1.22 |
| Less developed regions | 175,950 | 41,647 | 134,303 | 85,146 | 21,009 | 64,137 | 3.0 | 1.5 | 4.5 | 1.5 | 0.7 | 2.2 | 0.50 | 0.47 | 0.49 | 0.95 |
| WHO region categories | ||||||||||||||||
| Africa region | 11,853 | 4,189 | 7,664 | 6,993 | 2,619 | 4,374 | 1.3 | 1.0 | 1.7 | 0.8 | 0.6 | 1.0 | 0.62 | 0.60 | 0.59 | 1.02 |
| Americas region | 101,593 | 25,894 | 75,699 | 28,739 | 8,376 | 20,363 | 10.7 | 5.4 | 16.1 | 3.0 | 1.7 | 4.3 | 0.28 | 0.31 | 0.27 | 1.18 |
| East Mediterranean region | 27,690 | 5,789 | 21,901 | 13,822 | 2,932 | 10,890 | 4.4 | 1.9 | 6.9 | 2.2 | 1.0 | 3.4 | 0.50 | 0.53 | 0.49 | 1.07 |
| Europe region | 166,583 | 35,143 | 131,440 | 58,758 | 13,812 | 44,946 | 18.5 | 7.6 | 30.1 | 6.5 | 3.0 | 10.3 | 0.35 | 0.39 | 0.34 | 1.15 |
| South-East Asia region | 30,708 | 6,302 | 24,406 | 17,139 | 3,562 | 13,577 | 1.7 | 0.7 | 2.6 | 0.9 | 0.4 | 1.4 | 0.53 | 0.57 | 0.54 | 1.06 |
| Western Pacific region | 91,294 | 22,083 | 69,211 | 39,606 | 10,727 | 28,879 | 5.0 | 2.5 | 7.3 | 2.1 | 1.2 | 3.1 | 0.42 | 0.48 | 0.42 | 1.13 |
| Continent | ||||||||||||||||
| Africa | 24,437 | 6,752 | 17,685 | 13,268 | 3,906 | 9,362 | 2.3 | 1.3 | 3.3 | 1.2 | 0.7 | 1.7 | 0.52 | 0.54 | 0.52 | 1.05 |
| Latin America and Caribbean | 24,844 | 7,234 | 17,610 | 10,147 | 3,069 | 7,078 | 4.1 | 2.4 | 5.9 | 1.7 | 1.0 | 2.4 | 0.41 | 0.42 | 0.41 | 1.02 |
| Northern America | 76,749 | 18,660 | 58,089 | 18,592 | 5,307 | 13,285 | 21.9 | 10.5 | 33.5 | 5.3 | 3.0 | 7.7 | 0.24 | 0.29 | 0.23 | 1.24 |
| Asia | 148,568 | 32,922 | 115,646 | 69,294 | 16,478 | 52,816 | 3.5 | 1.6 | 5.3 | 1.6 | 0.8 | 2.4 | 0.46 | 0.50 | 0.45 | 1.10 |
| Europe | 151,297 | 32,932 | 118,365 | 52,411 | 12,889 | 39,522 | 20.4 | 8.6 | 33.1 | 7.1 | 3.4 | 11.1 | 0.35 | 0.40 | 0.34 | 1.18 |
| Oceania | 3,898 | 913 | 2,985 | 1,372 | 384 | 988 | 10.3 | 4.8 | 15.8 | 3.6 | 2.0 | 5.2 | 0.35 | 0.42 | 0.33 | 1.27 |
1Crude rates were defined as the rates per 100,000.
Summary of World Health Organization ranking, total expenditure on health, life expectancy, bladder cancer incidence, mortality, and mortality-to-incidence ratio of 33 countries.
| Country | Ranking | Total expenditure on health/GDP (%) | Life expectancy | Incidence, crude rate1 | Mortality, crude rate1 | Mortality-to-incidence ratio | Relative MIR | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | Female | Male | Total | Female | Male | Total | Female | Male | |||||
| France | 1 | 11.6 | 82 | 17.6 | 5.8 | 30.0 | 7.5 | 3.4 | 11.8 | 0.43 | 0.59 | 0.39 | 1.49 |
| Italy | 2 | 9.2 | 83 | 30.0 | 11.6 | 49.1 | 9.4 | 3.9 | 15.2 | 0.31 | 0.34 | 0.31 | 1.09 |
| Spain | 7 | 9.3 | 83 | 29.5 | 9.3 | 50.1 | 10.7 | 3.8 | 17.7 | 0.36 | 0.41 | 0.35 | 1.16 |
| Austria | 9 | 11.1 | 81 | 25.6 | 12.4 | 39.5 | 5.8 | 3.7 | 7.9 | 0.23 | 0.30 | 0.20 | 1.49 |
| Japan | 10 | 10.3 | 84 | 17.4 | 8.1 | 27.2 | 6.0 | 3.8 | 8.4 | 0.34 | 0.47 | 0.31 | 1.52 |
| Norway | 11 | 9.3 | 82 | 27.8 | 14.4 | 41.1 | 6.7 | 4.1 | 9.3 | 0.24 | 0.28 | 0.23 | 1.26 |
| Portugal | 12 | 9.9 | 81 | 26.9 | 9.7 | 45.1 | 8.0 | 3.6 | 12.7 | 0.30 | 0.37 | 0.28 | 1.32 |
| Netherlands | 17 | 12.7 | 81 | 17.9 | 8.9 | 27.1 | 7.5 | 4.7 | 10.3 | 0.42 | 0.53 | 0.38 | 1.39 |
| United Kingdom | 18 | 9.3 | 81 | 14.0 | 7.6 | 20.5 | 7.9 | 5.2 | 10.6 | 0.56 | 0.68 | 0.52 | 1.32 |
| Switzerland | 20 | 11.4 | 83 | 27.3 | 13.0 | 42.2 | 6.2 | 3.9 | 8.6 | 0.23 | 0.30 | 0.20 | 1.47 |
| Belgium | 21 | 10.9 | 80 | 40.3 | 15.8 | 65.8 | 9.2 | 4.6 | 13.9 | 0.23 | 0.29 | 0.21 | 1.38 |
| Colombia | 22 | 6.8 | 78 | 2.6 | 1.4 | 4.0 | 1.1 | 0.7 | 1.4 | 0.42 | 0.50 | 0.35 | 1.43 |
| Sweden | 23 | 9.6 | 82 | 24.7 | 12.1 | 37.5 | 7.2 | 4.2 | 10.3 | 0.29 | 0.35 | 0.27 | 1.26 |
| Germany | 25 | 11.3 | 81 | 34.6 | 16.2 | 53.8 | 6.6 | 4.5 | 8.8 | 0.19 | 0.28 | 0.16 | 1.70 |
| Israel | 28 | 7.4 | 82 | 18.4 | 7.2 | 29.8 | 4.0 | 2.0 | 6.0 | 0.22 | 0.28 | 0.20 | 1.38 |
| Canada | 30 | 10.9 | 82 | 23.3 | 12.1 | 34.7 | 6.1 | 3.7 | 8.6 | 0.26 | 0.31 | 0.25 | 1.23 |
| Finland | 31 | 9.1 | 81 | 20.2 | 8.1 | 32.7 | 5.1 | 2.6 | 7.7 | 0.25 | 0.32 | 0.24 | 1.36 |
| Australia | 32 | 8.9 | 83 | 15.2 | 7.1 | 23.4 | 4.7 | 2.6 | 6.9 | 0.31 | 0.37 | 0.29 | 1.24 |
| Denmark | 34 | 11.0 | 80 | 31.8 | 16.7 | 47.3 | 10.0 | 6.5 | 13.5 | 0.31 | 0.39 | 0.29 | 1.36 |
| United States of America | 37 | 17.0 | 79 | 21.7 | 10.4 | 33.4 | 5.2 | 2.9 | 7.6 | 0.24 | 0.28 | 0.23 | 1.23 |
| Cuba | 39 | 8.6 | 78 | 13.3 | 4.9 | 21.5 | 6.3 | 3.0 | 9.6 | 0.47 | 0.61 | 0.45 | 1.37 |
| Thailand | 47 | 4.5 | 75 | 3.6 | 1.7 | 5.6 | 1.8 | 0.9 | 2.8 | 0.50 | 0.53 | 0.50 | 1.06 |
| Czech Republic | 48 | 7.5 | 78 | 23.3 | 12.8 | 34.2 | 7.0 | 4.3 | 9.8 | 0.30 | 0.34 | 0.29 | 1.17 |
| Poland | 50 | 6.8 | 77 | 20.8 | 9.3 | 33.1 | 8.5 | 3.5 | 14.0 | 0.41 | 0.38 | 0.42 | 0.89 |
| Korea, Republic of | 58 | 7.6 | 82 | 8.4 | 3.2 | 13.6 | 2.7 | 1.5 | 3.9 | 0.32 | 0.47 | 0.29 | 1.63 |
| Egypt | 63 | 4.9 | 71 | 10.6 | 4.8 | 16.4 | 5.2 | 2.4 | 8.0 | 0.49 | 0.50 | 0.49 | 1.03 |
| Belarus | 72 | 5.0 | 72 | 11.3 | 4.1 | 19.7 | 4.1 | 1.4 | 7.2 | 0.36 | 0.34 | 0.37 | 0.93 |
| Argentina | 75 | 6.8 | 76 | 8.6 | 4.0 | 13.4 | 3.5 | 1.6 | 5.5 | 0.41 | 0.40 | 0.41 | 0.97 |
| Ukraine | 79 | 7.5 | 71 | 11.0 | 3.8 | 19.5 | 5.0 | 1.3 | 9.4 | 0.45 | 0.34 | 0.48 | 0.71 |
| Bulgaria | 102 | 7.4 | 75 | 22.5 | 9.9 | 35.9 | 7.5 | 3.0 | 12.4 | 0.33 | 0.30 | 0.35 | 0.88 |
| Brazil | 125 | 9.5 | 75 | 5.0 | 2.9 | 7.2 | 2.0 | 1.2 | 2.9 | 0.40 | 0.41 | 0.40 | 1.03 |
| Russian Federation | 130 | 6.5 | 69 | 9.7 | 4.0 | 16.4 | 4.8 | 1.9 | 8.2 | 0.49 | 0.48 | 0.50 | 0.95 |
| South African Republic | 175 | 8.9 | 60 | 3.3 | 1.8 | 4.9 | 1.3 | 0.8 | 1.9 | 0.39 | 0.44 | 0.39 | 1.15 |
1Crude rates were defined as the rates per 100,000.
Figure 1The scatterplots evidenced the relative MIR calculated using the GLOBOCAN 2012 database is positively related with that obtained using the GLOBOCAN 2008 database (n = 29) (A). The scatterplots correlate the relative MIR with (B) female MIR and (C) male MIR.
Figure 2The association between world health organization ranking and (A) total expenditure on health/GDP and (B) life expectancy among 33 countries.
Figure 3Countries with good world health organization ranking have low MIR in (A) both genders, (B) female, and (C) male, but have high relative MIR (D). Countries with high total expenditure on health/GDP have a relatively low MIR in (E) both genders, (F) female, and (G) male, but high relative MIR (H).