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FEBRUARY 2019 ISSUE - Digital Edition

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Methodology of the study<br />

Data from multiple sources, including 42<br />

population-based cancer registries and<br />

the national sample registration system<br />

of India was used. The study presents<br />

data on:<br />

1 The incidence of 28 types of cancer<br />

in every state of India from 1990 to<br />

2016<br />

2. Death rates and trends of all<br />

types of cancers<br />

3. Disability-adjusted life years<br />

(DALYs) for each type of<br />

cancer<br />

4. The contribution of<br />

major risk factors<br />

to the cancer<br />

DALYs in<br />

India<br />

Rajasthan<br />

58.8<br />

72.6<br />

Haryana<br />

71.0<br />

103.3<br />

Himachal<br />

Pradesh<br />

69.8<br />

91.6<br />

Punjab<br />

58.0<br />

85.5<br />

Jammu &<br />

Kashmir<br />

69.1<br />

79.2<br />

Delhi<br />

64.6<br />

102.9<br />

Uttarakhand<br />

69.3<br />

91.0<br />

Uttar Pradesh<br />

72.0<br />

79.0<br />

Bihar<br />

44.9<br />

53.9<br />

RISING NUMBERS<br />

Crude annual incidence<br />

rate of all cancers together<br />

in the states of India,<br />

1990 and 2016<br />

1990 2016<br />

Jharkand<br />

58.0<br />

64.3<br />

Arunachal<br />

Pradesh<br />

75.9<br />

78.5<br />

Meghalaya<br />

69.0<br />

81.4<br />

Sikkim<br />

67.8<br />

74.4<br />

Tripura<br />

52.9<br />

69.0<br />

Assam<br />

68.7<br />

90.2<br />

Nagaland<br />

63.1<br />

70.3<br />

DALY (Disability Adjusted<br />

Life Years)<br />

Madhya<br />

Pradesh<br />

69.4<br />

83.1<br />

Gujarat<br />

55.5<br />

75.8<br />

It is a metric for reporting the<br />

disease burden due to mortality<br />

and morbidity caused by a disease.<br />

It is the measure recommended by<br />

the National Health Policy of India for<br />

tracking disease burden. Disability for<br />

each cancer was estimated by splitting<br />

the prevalence into four sequelae:<br />

diagnosis and primary treatment,<br />

controlled phase, metastatic phase and<br />

the terminal phase. Each prevalence<br />

sequelae were then multiplied with<br />

specific disability weights to see the<br />

‘years lived with disability’ (YLDs). The<br />

years of life lost (YLLs) was calculated<br />

from the age-specific mortality estimates<br />

and the reference life expectancy for<br />

that age group. DALYs were computed<br />

Maharashtra<br />

62.0<br />

80.2<br />

Goa<br />

52.5<br />

97.0<br />

Karnataka<br />

76.2<br />

101.6<br />

Kerala<br />

74.1<br />

135.3<br />

Andhra<br />

Pradesh<br />

58.1<br />

76.6<br />

Tamil Nadu<br />

58.9<br />

82.9<br />

Telengana<br />

54.9<br />

72.6<br />

W Bengal<br />

63.9<br />

85.4<br />

Chhattisgarh<br />

58.8<br />

82.0<br />

Odisha<br />

68.6<br />

83.6<br />

Incidence<br />

rate per<br />

100,000<br />

Mizoram<br />

89.1<br />

121.7<br />

Manipur<br />

48.1<br />

64.3<br />

> 105<br />

90-104.9<br />

75-89.0<br />

60-74.9<br />

45-59.9<br />

SOURCE: thelancet.com<br />

<strong>FEBRUARY</strong> <strong>2019</strong> / FUTURE MEDICINE / 55

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