Background
Cervical cancer affects the lowermost part of a women’s uterus, called the “cervix”. Worldwide, cervical cancer is the fourth most common cancer in women [
1]. Despite being a highly preventable cancer, in the year 2020, 604,127women were reported with cervical cancer, and 341,831women died from the disease globally [
2]. The maximum proportion of cervical cancer cases was reported from Asia (58.2%) and the minimum from the Northern America region (2.5%). Recent estimates for 2018 show that annually 569847 new cervical cancer cases were diagnosed worldwide. Around 2785 million women are at risk of getting cervical cancer, and approximately four-fifths of them are from less developed regions. Globally, the age-standardized incidence and mortality rates are found to be 13.1 and 6.9 per 100,000 women [
3]. However, these rates are quite higher among Indian women in comparison to global estimates. In India, the age-standardized incidence rate is 14.7 per 100,000 women, and the age-standardized mortality rate is 9.2 per 100,000 women [
3].
Cervical cancer is associated with sexual behaviours such as poor genital hygiene, early age of marriage, multiple sexual partners, repeated pregnancies [
4]. Cofactors such as long-term contraceptive use, smoking are associated with HPV infection. Specific women populations, such as women in correctional facilities, are at higher risk for cervical cancer than women in the general population [
5]. Around 453 million Indian women aged 15 years and above are at risk of developing cancer [
3]. Estimates from the HPV information centre show that 96922 women are diagnosed with cervical cancer every year, and 60078 of them die of this disease in the country. Current data indicates that that cervical cancer is the second most common cancer among females in the country. Low age at marriage, early age at first intercourse, higher parity raises the risk of HPV acquisition among Indian women [
6]. Although the burden of cervical cancer is increasing largely in the country, deaths can be prevented if it is screened at early stages [
7]. Cervical cancer mostly affects women from rural areas with poor socioeconomic status [
8]. Poor screening is associated with poverty. Lack of screening and treatment has been identified as a factor leading to the development of invasive cancer, which leads to death [
9,
10]. Although the improvement in the living standard and awareness among women has resulted in a decline in the incidence of cervical cancer in the country, the situation is alarming in the rural settings where the majorities of women are illiterate and have poor hygienic conditions.
Additionally, access to medical facilities and poor socioeconomic status contribute to the spread of carcinoma cervix in rural areas. As India is on the way to universalizing the national level screening programme of cervical cancer, it is crucial to investigate the areas vulnerable to poor screening and trends and patterns in its prevalence. Screening and associated social determinants are vital to understanding the need for intervention in a heterogeneous population like India. There has been substantial progress in primary prevention strategies, and it certainly affected incidence and mortality due to cervical cancer. However, screening for precancerous and cancerous cervical lesions among women over 30 years will be critical in developing countries like India to ensure that women receive appropriate diagnostic and treatment services. This study aims to assess trends in incidence and mortality of cervical cancer in India and its states over the past three decades to track the progress of strategies for preventing and controlling cervical cancer.
Material and methods
We have extracted data on cervical cancer incidence and mortality from 1990 to 2019 from the Global Burden of Disease 2019 study. The case definition includes cervical cancer having ICD-10 codes C53, C53.0, C53.1, C53.3, C53.4, C53.8, C53.9, D06, D06.0, D06.1, D06.7, D06.9, D26.0. Data for the incidence and Death rate of cervical cancer for India were extracted from an online tool produced by the IHME, which is publicly available called the GHDx (Global Health Data Exchange) query tool (
http://ghdx.healthdata.org/gbd-results-tool) [
11]. The state-level data on the burden of cervical cancer is extracted from the GBD India Compare tool (
https://vizhub.healthdata.org/gbd-compare/india) [
12]. The key sources of data that GBD used to model the cause of death due to cervical cancer in India includes cancer incidence in five continents by the International Agency for Research on Cancer, International Association of Cancer Registries, Population-based cancer registries of India and various states, medical certification of cause of deaths of the country and various states, vital statistics, other surveys on the cause of death and published scientific articles [
13].
A spatial map of age-standardized incidence and mortality rate has been used at 10-year intervals to understand the trends in cervical cancer incidence and mortality rate over time and space. Further, state-wise changes in cervical cancer incidence and mortality rank have been shown through the graph. Joinpoint regression analysis has been applied to compute the magnitude of the time trends in the age-standardized incidence and mortality rates of Cervical Cancer, the Average Annual Percent Change (AAPC) and the corresponding 95% Confidence Interval (CI). By using rates as inputs, the joinpoint regression method identifies the year(s) when a trend change is evident and calculates the annual percentage change (APC) in rates between these trend-change points.
To estimate the APC, the following model is used:
log(Yx) = b0 + b1x , where log (Yx) is the natural logarithm of the rate in year x.
Then, the APC from year
x to year
x +
1 is:
$$APC=\frac{e^{b_0+{b}_1\left(x+1\right)}-{e}^{b_0+{b}_1x}}{e^{b_0+{b}_1x}}\ast 100=\left({e}^{b_1}-1\right)\ast 100$$
When no joint point is detected over the period, then APC and AAPC will be the same. However, In case of any trend changes over the period, the whole period is segmented by the points with trend change [
14]. AAPC was calculated as a geometrically weighted average of various annual percent change (APC) values from the regression analysis [
15]. For the whole range of our study periods, the average APC (AAPC) is computed using the best model with a maximum of 5 joinpoints pertaining to 6 segments. Joinpoint regression analysis is performed using ‘Joinpoint Regression Program’ software (version 4.9.0.0) provided by the Surveillance Research Program of the US National Cancer Institute.
Trends in age-standardized cervical cancer incidence and death rates using joinpoint regression analysis across the states of India
Table
2 shows the Age-standardized rates and AAPC of Cervical Cancer incidence and Death in India and its states in 1990 - 2019. The age-standardized incidence and death rates of cervical cancer in India is found to be 13.10 (95% UI 10.18,17.09) and 7.38 (95% UI 5.71,10.13) per 100,000 females, respectively.
Table 2
Age-standardized incidence and death rates of cervical cancer for India and its states in 2019 and their Average Annual Percentage Change (AAPC) from 1990 to 2019
India | 13.10 (10.18,17.09) | -0.82* (-1.39, -0.25) | 7.38 (5.71,10.13) | -1.35* (-1.96, -0.75) |
Andhra Pradesh | 9.81 (6.34,16.96) | -1.26* (-1.42, -1.09) | 5.34 (3.50,9.67) | -1.75* (-1.88, -1.61) |
Arunachal Pradesh | 14.01 (9.20,20.68) | -1.05* (-1.16, -0.93) | 7.99 (5.52,10.95) | -1.51* (-1.63, -1.39) |
Assam | 10.68 (7.49,19.26) | -0.50 (-1.23, 0.24) | 6.39 (4.63,12.52) | -1.19* (-1.73, -0.64) |
Bihar | 11.46 (7.79,18.89) | -0.49* (-0.55, -0.43) | 6.55 (4.49,11.13) | -1.01* (-1.12, -0.89) |
Chhattisgarh | 14.81 (10.36,20.30) | -0.92* (-1.43, -0.41) | 8.71 (6.30,12.97) | -1.14* (-1.64, -0.64) |
Delhi | 11.87 (8.50,15.78) | -2.07* (-2.51, -1.62) | 7.11 (4.81,9.26) | -2.63* (-3.42, -1.82) |
Goa | 7.02 (4.55,11.46) | -1.31* (-1.67, -0.96) | 3.58 (2.35,6.27) | -1.99* (-2.05, -1.93) |
Gujarat | 13.26 (9.31,18.80) | -0.53 (-1.47, 0.42) | 7.12 (5.04,10.56) | -1.29* (-2.10, -0.47) |
Haryana | 7.85 (5.20,15.03) | -0.62 (-1.65, 0.42) | 4.32 (2.85,9.54) | -1.07 (-2.21, 0.10) |
Himachal Pradesh | 11.66 (8.05,16.25) | -2.30* (-2.82, -1.77) | 6.49 (4.70,8.81) | -2.59* (-3.33, -1.85) |
Jammu & Kashmir and Ladakh | 6.13 (3.95,15.71) | -0.62* (-0.76, -0.48) | 3.39 (2.21,8.78) | -1.06* (-1.17, -0.94) |
Jharkhand | 13.18 (9.84,18.37) | -2.21* (-2.57, -1.85) | 7.87 (5.84,10.94) | -2.74* (-3.06, -2.42) |
Karnataka | 19.83 (11.86,27.51) | -0.31 (-1.00, 0.39) | 11.14 (6.67,15.10) | -0.77 (-1.61, 0.07) |
Kerala | 9.35 (6.57,12.92) | -1.07 (-2.21, 0.08) | 4.77 (3.29,6.49) | -1.88* (-2.41, -1.34) |
Madhya Pradesh | 13.41 (9.77,17.92) | -0.64* (-0.85, -0.44) | 7.88 (5.85,10.47) | -1.05* (-1.25, -0.86) |
Maharashtra | 16.75 (11.08,22.65) | -0.41 (-0.94, 0.13) | 9.26 (6.22,12.29) | -1.04* (-1.59, -0.49) |
Manipur | 9.25 (5.90,14.93) | -0.87* (-1.13, -0.61) | 5.59 (3.78,8.86) | -1.10* (-1.68, -0.51) |
Meghalaya | 11.40 (7.59,16.99) | -1.14* (-1.56, -0.71) | 6.84 (4.86,9.84) | -1.42* (-1.61, -1.24) |
Mizoram | 18.99 (9.50,29.21) | -0.72* (-1.26, -0.18) | 10.90 (5.64,16.15) | -1.11* (-1.72, -0.50) |
Nagaland | 12.95 (7.59,19.42) | -1.23* (-1.36, -1.10) | 7.57 (4.81,10.93) | -1.55* (-1.67, -1.42) |
Odisha | 7.10 (4.42,17.34) | -1.32* (-1.96, -0.67) | 4.22 (2.64,10.63) | -1.66* (-1.88, -1.44) |
Other Union Territories | 9.50 (6.34,14.04) | -1.44* (-1.74, -1.14) | 5.14 (3.56,7.72) | -1.85* (-2.01, -1.68) |
Punjab | 13.00 (9.65,17.82) | -0.43* (-0.83, -0.02) | 7.14 (5.10,9.72) | -0.95* (-1.46, -0.44) |
Rajasthan | 11.77 (8.32,17.92) | 0.05 (-0.71, 0.82) | 6.26 (4.25,10.45) | -0.65 (-1.53, 0.25) |
Sikkim | 9.72 (6.61,14.78) | -1.35* (-1.78, -0.93) | 5.47 (3.90,7.88) | -1.85* (-2.05, -1.65) |
Tamil Nadu | 19.91 (11.27,26.83) | -1.49* (-1.94, -1.04) | 11.57 (6.31,15.59) | -1.98* (-2.29, -1.67) |
Telangana | 9.76 (6.03,16.26) | -1.47* (-1.52, -1.41) | 5.07 (3.23,9.03) | -2.08* (-2.18, -1.98) |
Tripura | 10.64 (7.00,15.99) | -1.36* (-1.51, -1.21) | 6.25 (4.36,9.15) | -1.70* (-1.82, -1.57) |
Uttar Pradesh | 13.48 (9.21,21.21) | -0.26 (-0.74, 0.22) | 7.79 (5.43,13.89) | -0.72* (-1.15, -0.30) |
Uttarakhand | 12.32 (8.80,19.28) | -1.22* (-1.33, -1.11) | 6.83 (4.94,11.45) | -1.74* (-1.83, -1.66) |
West Bengal | 9.67 (7.06,13.94) | -1.11* (-1.87, -0.35) | 5.24 (3.89,7.89) | -1.83* (-3.02, -0.62) |
For Incidence, all of the states have shown a significant declining trend except Gujarat (AAPC: −0.53; 95%CI: −1.47 to 0.42;
p > 0.05), Assam (AAPC: −0.50; 95%CI: −1.23 to 0.24;
p > 0.05) , Haryana (AAPC: −0.62; 95%CI: −1.65 to 0.42;
p > 0.05), Karnataka (AAPC: −0.31; 95%CI: −1.00 to 0.39;
p > 0.05) , Maharashtra (AAPC: −0.41; 95%CI: -0.94 to 0.13;
p > 0.05) , Uttar Pradesh (AAPC: −0.26; 95%CI: −0.74 to 0.22;
p > 0.05) and Kerala (AAPC: −1.07; 95%CI: −2.21 to 0.08;
p > 0.05) where non-significant declining trend was observed and Rajasthan (AAPC: 0.05; 95%CI: −0.71 to 0.82;
p > 0.05) where non-significant increasing trend is observed (Table
2, Supplementary Fig.
1). All of the states have shown a significant declining trend in mortality except Haryana (AAPC: −1.07; 95%CI: −2.21 to 0.10;
p > 0.05), Karnataka (AAPC: −0.77; 95%CI: −1.61 to 0.07;
p > 0.05) and Rajasthan (AAPC: −0.65; 95%CI: −1.53 to 0.25;
p > 0.05), where non-significant declining trend is observed (Table
2, Supplementary Fig.
2).
Discussion
In this study, we found that there has been a significant decline in the incidence and mortality of cervical cancer over the past three decades in India; This corroborates with studies conducted by various others [
16‐
19]. Whereas in high-income countries, cervical cancer incidence and mortality have decreased by more than half over the past 30 years after the introduction of formalized screening programmes [
20]. Recent evidence suggests that factors such as socioeconomic development and high-income countries type lifestyle-related transitions underpin changes in cancer risk, reducing the cervical cancer rates in countries with emerging economies [
1,
21]. A trend of decline in the incidence rates in urban areas truly represents the societal changes that are not reflected in India's rural areas [
22].
Based on complete and reliable data obtained from the Bombay Cancer Registry, a paper emphasizes that the decline in the incidence of cervical is not due to change in registration practice but solely attributable to epidemiological transition [
23,
24]. In lower-middle-income countries, a decline in cervical cancer incidence has been due to opportunistic screening [
25]. Bobdey and colleagues have found that data from most major Indian cancer registries indicated a decreasing trend of cervical cancer; however, the decrease was small [
19]. Further, research has also highlighted that the decline in the incidence of cervical cancer is also because of the lack of an organized mass screening program for the early detection of cervical cancer in India [
26].
Notwithstanding with the caveat of the estimates from various information, the absolute number of cases of cervix uteri cancer has increased over time (GLOBCAN) (471000 in 2000, 529000 in 2008, 570,000 in 2018) [
27,
28]. The rising age at marriage, increase in the age at first term pregnancy, lowering parity could have contributed to reducing the risk of HPV acquisition, decreasing the incidence of cervical cancer in India. Further, vaccination could have led to this significant decline in the burden of cervical cancer. As evident from developed countries, screening and vaccination have been identified as preventive measures in reducing cervical cancer burden [
29]. Consistent with our findings, a study conducted across 38 countries found a substantial decrease in the age-standardized incidence rates in the highest-income countries. However, these rates were found to increase, or stabilized rates were visible in lower-resourced settings [
24].
This study reports a substantial decline in the mortality due to cervical cancer in the country. This finding is consistent with other studies as well. The decline in the morality is mainly attributable to improved health facilities, screening and vaccination coverage. Arbyn reported that the proportion of deaths due to cervical cancer has decreased from 8.2% in 2008 to 7.5% in 2018 [
30]. Chauhan and colleagues found that introducing HPV vaccination alone led to a 60% decline in cervical cancer-related mortality compared to those without any vaccination and screening [
31]. This study reveals that different screening strategies have a varying reduction in lifetime occurrence of cervical cancer caused by HPV from 16 to 61% and reducing mortality due to cervical cancer from 28 to 70% [
31]. Furthermore, a successful organized and opportunistic screening has led to a substantial decline in the last 50 years in cervical cancer morbidity and mortality in high- and middle-income countries [
32].
There has been a -21.32 percentage change in the incidence of cervical cancer in the period 1990-2019. Similarly, a change of -32.29 percentage point is observed in the country's mortality due to cervical cancer. The trends observed in cervical cancer incidence and mortality in the country over the period are likely due to population ageing, changes in knowledge and literacy, early screening, improved access to health care, and other risk factors. Studies have also highlighted the lack of inadequate and incomplete information on deaths leading to the inaccuracy of mortality statistics and trends. Reproductive risk factors such as later age at first birth, lower parity is inversely related to decreasing age-standardized incidence rates [
33]. The age-standardized incidence and death rates of cervical cancer are 13.10 and 7.38 per 100,000 females. Consistent with our findings, researchers found the age-standardized incidence and mortality rates of cervical cancer to be 14.7 and 9.2 per 100,000 among Indian women [
34].
Similarly, researchers at George institute also found the age-standardized incidence and mortality rates of cervical cancer to be 22 and 12.4 per 100,000 women. The rank of age-standardized cervical cancer incidence rate has decreased significantly in states like Arunachal Pradesh and Assam. A geographical difference reflected in the incidence of mortality is due to differences in exposure to risk factors and serious inequalities in access to adequate screening and effective cancer treatment facilities.
Even after more than a decade of the introduction of HPV vaccines, the prevalence of cervical cancer is quite alarming. In India, Universal cervical cancer screening is an unmet need [
35]. The fourth round of the National Family Health Survey estimates that only 22.3% of eligible women received cervical cancer screening during 2015-16 [
36]. The associated mortality with Cervical cancer in India is one of the highest in the world [
37‐
39]. Studies have reported that India's overall knowledge and awareness about cervical cancer, HPV, and HPV vaccination is very poor. Researchers are of the opinion that factors such as societal, religious and prejudiced ideas, socioeconomic status, including lack of knowledge, awareness and attitude, affect the HPV vaccination in India. The present study has a few limitations. First, Although the GBD study has subsumes various methods to improve the quality of data by adjusting for missing or incomplete data, but we can't rule out the possibility of some inaccuracy in the mortality data. Second, this is an ecological study; hence, interpretations from this study are true at population levels, but they do not necessarily hold at the individual level.
Conclusion
This study concludes that the overall incidence and mortality of cervical cancer showed a significant decreasing trend in India between 1990 and 2019, the highest decline in the incidence and mortality rates were reported in the period 1998-2005. The highest incidence and mortality of cervical cancer were reported in Tamilnadu and lowest in Jammu & Kashmir and Ladakh during 1990 & 2019. The highest percentage decrement in the incidence of cervical cancer was reported in Jharkhand and lowest in Jammu & Kashmir during the study period. The highest percentage decrement in cervical cancer mortality was seen in Jharkhand from 1990 to 2019.
Though the incidence and mortality of cervical cancer declined over the past three decades but it is still a major public health problem in India. Information, education and communication activities for girls, boys, parents and the community regarding the risk factors of cervical cancer, mode of transmission, screening programme, HPV, HPV vaccination and treatment modalities should be provided throughout the country. HPV vaccine should be included in the national immunization program to improve its availability and accessibility to all eligible beneficiaries. The cervical cancer screening facility should be available at a peripheral level for early diagnosis of precancerous conditions. The involvement of non-government organizations can play a key role in primary, secondary and tertiary levels of prevention for cervical cancer.
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