Background
Methods
Data sources
Statistical analysis
Results
Incidence and mortality of multiple myeloma in China, 2016
Age groups | Incidence rates | Mortality rates | ||||
---|---|---|---|---|---|---|
Both | Male | Female | Both | Male | Female | |
0- | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
1- | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
5- | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
10- | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
15- | 0.18 (0.11–0.22) | 0.24 (0.12–0.30) | 0.12 (0.07–0.14) | 0.09 (0.05–0.10) | 0.11 (0.06–0.13) | 0.06 (0.04–0.07) |
20- | 0.22 (0.14–0.26) | 0.27 (0.14–0.33) | 0.18 (0.10–0.22) | 0.09 (0.06–0.11) | 0.10 (0.05–0.12) | 0.08 (0.05–0.10) |
25- | 0.29 (0.18–0.34) | 0.39 (0.21–0.47) | 0.18 (0.11–0.22) | 0.10 (0.06–0.11) | 0.12 (0.07–0.14) | 0.07 (0.04–0.08) |
30- | 0.25 (0.17–0.30) | 0.34 (0.21–0.42) | 0.16 (0.09–0.20) | 0.10 (0.07–0.11) | 0.12 (0.08–0.14) | 0.07 (0.04–0.08) |
35- | 0.31 (0.23–0.37) | 0.42 (0.28–0.52) | 0.20 (0.12–0.24) | 0.14 (0.11–0.15) | 0.17 (0.12–0.21) | 0.10 (0.07–0.12) |
40- | 0.51 (0.41–0.59) | 0.66 (0.48–0.79) | 0.36 (0.24–0.44) | 0.26 (0.21–0.29) | 0.31 (0.24–0.38) | 0.20 (0.14–0.25) |
45- | 0.87 (0.70–0.97) | 1.08 (0.79–1.33) | 0.64 (0.47–0.75) | 0.44 (0.37–0.49) | 0.51 (0.39–0.64) | 0.37 (0.27–0.43) |
50- | 1.71 (1.44–1.99) | 2.08 (1.56–2.67) | 1.32 (0.99–1.64) | 0.88 (0.77–1.02) | 0.99 (0.77–1.27) | 0.76 (0.57–0.92) |
55- | 2.44 (2.03–2.96) | 3.15 (2.33–4.00) | 1.71 (1.36–2.19) | 1.33 (1.14–1.59) | 1.62 (1.23–2.08) | 1.04 (0.84–1.33) |
60- | 3.62 (3.00–4.28) | 4.63 (3.36–5.77) | 2.60 (2.08–3.17) | 2.19 (1.87–2.59) | 2.60 (1.96–3.36) | 1.77 (1.45–2.15) |
65- | 4.60 (3.92–5.47) | 5.68 (4.25–7.20) | 3.53 (2.88–4.54) | 3.11 (2.71–3.75) | 3.52 (2.74–4.58) | 2.71 (2.22–3.44) |
70- | 5.36 (4.42–6.29) | 7.00 (5.16–8.67) | 3.76 (3.00–5.03) | 3.83 (3.27–4.50) | 4.63 (3.58–5.81) | 3.05 (2.44–4.06) |
75- | 5.71 (4.63–6.57) | 7.62 (5.48–9.40) | 3.96 (3.20–4.92) | 4.45 (3.67–5.18) | 5.40 (4.03–7.02) | 3.58 (2.91–4.45) |
80- | 4.01 (3.30–4.66) | 5.43 (3.83–6.77) | 2.79 (2.27–3.45) | 4.11 (3.45–4.91) | 5.39 (3.97–6.92) | 3.01 (2.42–3.73) |
85- | 4.65 (3.94–5.70) | 6.37 (4.72–8.53) | 3.50 (2.95–4.40) | 4.68 (4.03–5.79) | 6.14 (4.70–8.38) | 3.69 (3.05–4.60) |
90- | 7.07 (6.31–8.83) | 9.18 (7.34–13.02) | 6.03 (5.21–7.70) | 6.96 (6.20–8.80) | 8.56 (7.00–12.29) | 6.17 (5.30–7.75) |
95- | 6.43 (5.70–8.43) | 9.14 (7.59–13.33) | 5.48 (4.74–7.26) | 6.38 (5.62–8.42) | 8.50 (7.16–12.70) | 5.65 (4.88–7.49) |
Provincial-level incidence and mortality of multiple myeloma in 2016
Incidence | Mortality | |||
---|---|---|---|---|
Cases (thousands) | Rates (per 100,000) | Deaths (thousands) | Rates (per 100,000) | |
Anhui | 0.53 (0.46–0.61) | 0.75 (0.65–0.86) | 0.43 (0.37–0.51) | 0.62 (0.53–0.73) |
Beijing | 0.47 (0.30–0.56) | 1.78 (1.12–2.11) | 0.21 (0.13–0.26) | 0.85 (0.55–1.05) |
Chongqing | 0.32 (0.29–0.39) | 0.84 (0.75–1.00) | 0.24 (0.20–0.30) | 0.63 (0.53–0.77) |
Fujian | 0.33 (0.28–0.41) | 0.82 (0.71–1.04) | 0.21 (0.18–0.28) | 0.55 (0.46–0.73) |
Gansu | 0.19 (0.17–0.23) | 0.69 (0.59–0.80) | 0.16 (0.14–0.20) | 0.60 (0.51–0.72) |
Guangdong | 1.47 (1.10–1.73) | 1.40 (1.06–1.62) | 0.67 (0.53–0.79) | 0.69 (0.55–0.81) |
Guangxi | 0.45 (0.39–0.54) | 0.88 (0.76–1.05) | 0.34 (0.28–0.42) | 0.67 (0.57–0.84) |
Guizhou | 0.28 (0.23–0.31) | 0.75 (0.62–0.83) | 0.26 (0.21–0.31) | 0.70 (0.59–0.83) |
Hainan | 0.07 (0.06–0.09) | 0.73 (0.63–1.02) | 0.05 (0.04–0.07) | 0.53 (0.43–0.76) |
Hebei | 0.74 (0.62–1.09) | 0.85 (0.73–1.27) | 0.48 (0.39–0.69) | 0.58 (0.47–0.84) |
Heilongjiang | 0.45 (0.40–0.60) | 0.89 (0.78–1.18) | 0.31 (0.27–0.41) | 0.64 (0.55–0.83) |
Henan | 0.87 (0.75–1.19) | 0.86 (0.75–1.18) | 0.60 (0.51–0.82) | 0.62 (0.53–0.83) |
Hubei | 0.79 (0.67–0.93) | 1.12 (0.96–1.31) | 0.44 (0.37–0.52) | 0.65 (0.55–0.78) |
Hunan | 0.82 (0.61–0.93) | 1.03 (0.77–1.16) | 0.60 (0.47–0.70) | 0.77 (0.59–0.88) |
Inner Mongolia | 0.27 (0.24–0.36) | 0.92 (0.80–1.22) | 0.17 (0.14–0.23) | 0.62 (0.52–0.82) |
Jiangsu | 1.33 (1.15–1.64) | 1.26 (1.10–1.55) | 0.59 (0.50–0.74) | 0.58 (0.49–0.72) |
Jiangxi | 0.46 (0.28–0.53) | 0.98 (0.61–1.13) | 0.36 (0.24–0.43) | 0.80 (0.52–0.95) |
Jilin | 0.33 (0.28–0.42) | 0.91 (0.80–1.18) | 0.22 (0.19–0.27) | 0.64 (0.55–0.80) |
Liaoning | 0.66 (0.58–0.80) | 1.05 (0.91–1.24) | 0.41 (0.34–0.50) | 0.66 (0.56–0.81) |
Ningxia | 0.05 (0.04–0.06) | 0.79 (0.69–0.91) | 0.04 (0.03–0.05) | 0.65 (0.55–0.77) |
Qinghai | 0.05 (0.04–0.06) | 0.87 (0.74–1.04) | 0.04 (0.03–0.05) | 0.75 (0.63–0.92) |
Shaanxi | 0.37 (0.33–0.44) | 0.84 (0.74–1.00) | 0.27 (0.23–0.33) | 0.63 (0.53–0.78) |
Shandong | 1.08 (0.91–1.59) | 0.88 (0.74–1.29) | 0.67 (0.55–0.96) | 0.56 (0.46–0.81) |
Shanghai | 0.63 (0.31–0.79) | 1.89 (0.90–2.35) | 0.30 (0.16–0.39) | 0.95 (0.48–1.22) |
Shanxi | 0.33 (0.28–0.44) | 0.81 (0.70–1.11) | 0.22 (0.18–0.31) | 0.58 (0.48–0.80) |
Sichuan | 0.89 (0.77–1.01) | 0.86 (0.75–0.97) | 0.69 (0.59–0.85) | 0.67 (0.57–0.82) |
Tianjin | 0.24 (0.20–0.31) | 1.39 (1.18–1.79) | 0.11 (0.09–0.14) | 0.67 (0.56–0.85) |
Tibet | 0.02 (0.01–0.02) | 0.81 (0.64–0.91) | 0.02 (0.01–0.02) | 0.80 (0.64–0.93) |
Xinjiang | 0.22 (0.19–0.30) | 1.01 (0.88–1.39) | 0.15 (0.13–0.21) | 0.75 (0.64–1.02) |
Yunnan | 0.34 (0.31–0.41) | 0.74 (0.67–0.87) | 0.29 (0.25–0.37) | 0.64 (0.55–0.81) |
Zhejiang | 1.22 (0.58–1.53) | 1.76 (0.82–2.20) | 0.67 (0.32–0.85) | 1.01 (0.48–1.29) |
Hong Kong* | 0.27 (0.13–0.33) | 2.31 (1.15–2.87) | 0.13 (0.06–0.16) | 1.07 (0.55–1.35) |
Macao* | 0.01 (0.01–0.02) | 2.06 (1.18–2.80) | 0.01 (0.00–0.01) | 0.99 (0.57–1.31) |