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Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
. 2025 Aug 23;26(8):2803–2810. doi: 10.31557/APJCP.2025.26.8.2803

Assessment and Projections of the Burden of Lip and Oral Cancer among Indian Men

Koushik Roy Pramanik 1,*, Sourav Biswas 2, Murali Dhar 1
PMCID: PMC12659868  PMID: 40849696

Abstract

Introduction:

The oral cavity includes the lips, buccal mucosa, teeth, gingiva, anterior two third of the tongue, the floor of the mouth, and hard palate. Comprehensive data on the burden of oral cancer are lacking at the national and state levels. Therefore, analysing the changing trend in oral cancer in India over the last three decades fills a significant gap.

Methods:

In this study, the number of new cancer cases, the population at risk, and the crude incidence rate were extracted from the GBD 2019 data. We used the Joinpoint regression to assess the trends in age-adjusted incidence rates per 100,000 population for lip ad oral cancer among men in India from 1990 to 2019 and we used the cancer registry data for the projection of the cancer incidence for all the states, union territories, and India every five years from 2026 to 2036 for lip and oral cancer among men.

Results:

The estimate of lip and oral cancer cases among Indian men will be 131,414 in 2026, will increase to 147,488 during 2031, and will increase to 163,224 during 2036.

Conclusion:

The present study estimates the lip and oral cancer cases, which will help for planning purpose of cancer screening facilities for early detection, awareness of cancer, modifying lifestyle, reduction in tobacco use, and establishment of adequate treatment guidelines that can effectively be carried out at different levels (district hospitals, teaching hospitals, specialized hospitals, etc.) would also help in the reduction of mortality due to oral cancer as well as the burden of oral cancer.

Key Words: Future projections, lip and oral cancer, incidence, India

Introduction

Oral cancer is a disease of antiquity. Oral cancer is described in the surgical treatise Sushruta Samhita, which was written in Sanskrit in Indian culture. Its propensity for spreading locally and impacting nearby structures creates deformity, hampers function, and causes physical and psychological distress, lowering the quality of life. Cancers significantly act in individual and social levels and cause a wide network of physical, mental, familial and social problems [1].

The oral cavity includes the lips, buccal mucosa, teeth, gingiva, anterior two third of the tongue, the floor of the mouth, and hard palate. Tongue, lips, and mouth cancer is referred to as oral cancer. This case definition is accepted and supports the report of oral cavity cancers by the World Health Organization, the International Agency for Research and Cancer, and the International Classification of Diseases (ICD) coding scheme [2].

The International Agency for Research on Cancer (IARC) has unveiled Global Cancer Statistics 2018, a comprehensive analysis of the current state of cancer around the world [3]. According to a recent study, nearly 2.0% of cancer incidence and 1.9% of cancer deaths worldwide were due to oral cancer [3]. Estimates from GLOBOCAN 2020 demonstrate regional differences in oral cancer incidence rates especially in Southern Asian countries like India, Srilanka, Nepal etc. According to a recent study in Nepal, Lung cancer was the most common cancer in men in Nepal, followed by lip/oral cavity, stomach and colorectal cancers [4]. And also in Srilanka among adults of 35-64 years, cancer mortality increased over 1950-2005 and had become the second leading cause of death among female aged 35-64 years in 2002-2006 [5]. Neoplasms were the second leading cause of hospital death in 2012 in Srilanka [6].

Oral cancer ranks amongst the three most common cancers in India and in some areas accounts for almost 40% of total cancer deaths [7]. In India, 20 per 100000 population are affected by oral cancer, which accounts for about 30% of all types of cancer [8]. Approximately 70,000 new cases and more than 48,000 oral cancer-related deaths occur yearly [9]. In most regions of India, oral cancer is the second most common malignancy diagnosed in men, accounting for up to 20% of cancers, and the fourth most common in women [10].

Plenty of etiological factors contribute to India’s high rate of mouth cancer. Oral cancer is commonly caused by tobacco consumption, whether it be smokeless tobacco or smoking, as well as alcohol consumption [11]. Based on the TMN classification, 48% of the oral cancer cases were present in the later stages. Estimates indicate that 57% of men and 11% of women between 15- 49 years of age use some form of tobacco [12]. More than 90% of OC cases report using tobacco products [13]. The increase of oral cancer incidence is attributed to the aging population and lifestyle factors such as tobacco use and alcohol consumption [14].

However, there is a significant research gap in understanding the epidemiology of lip and oral cancer among Indian men. There is a lack of reliable data on the incidence and prevalence of lip and oral cancer in India, particularly in rural areas. Therefore, an analysis of the changing trend in oral cancer in India over the last three decades fills a significant gap and can help to inform oral health researchers and public health policymakers in India to focus more attention on oral cancer. Since clear-cut knowledge about the magnitude of the oral cancer crisis is needed for the present and future to help health policy planners evolve and implement cancer facilities in the country. In this study, we showed a) the trends in incidence rates per 100,000 population for oral cancer among men in India from 1990 to 2019, b) the projection of the cancer incidence for all the states, union territories, and India for every five years from 2026 to 2036 for lip and oral cancer among men in India.

Materials and Methods

Data sources

The data for this study were obtained from the 2019 Global Burden of Disease (GBD), Injuries, and Risk Factor study. For the first time, GBD 2019 provided a detailed update on fertility and migration and an independent population estimate for each of the 204 countries and territories in the world. GBD 2019 features significant data additions and upgrades, including methodological refinements.

The aetiological code used in GBD 2019 was based on the International Classification of Disease (ICD) formulated by the WHO, which is the current standard in the world and the most exhaustive cause list [15]. The definition of oral cancer in GBD 2019 consisted of codes C00-C08 (lip and oral cavity cancer) in ICD10. Specific coding by oral cancer type can be found in full detail in the GBD 2019 literature. We extracted the number of new cancer cases, the population at risk, and the crude incidence rate from the GBD 2019 data.

Trends in Incidence rates

First, the age adjusted incidence rate per 100,000 population was calculated by direct standardization. World standard population proposed by Segi and modified by Doll et al. was used for standardization.

The Joinpoint Regression Program is software developed by the United States (US) National Cancer Institute (NCI) to perform trend analysis for the incidence and mortality rates. It has been previously used to assess the trend of several other cancers, such as gastric cancer and esophageal cancer. The annual percent change (APC) using joinpoint regression was used to examine the age adjusted rates (AARs) during the study period. The best fitting point called “joinpoint” where a statistically significant change occurs was identified by joinpoint analysis. Furthermore, the trends between the joinpoints can be assessed using this analysis. The grid search method was used for fitting the segmented line regression and hence to determine the best fit for each model. Significance was tested using Monte Carlo permutation method. P < 0.05 was considered as statistically significant.

Joinpoint regression model of the natural log transformed rates, with a maximum number of three joinpoints, was used to calculate the APC, which was used to determine whether the incidence rate of breast cancer in the model differs from the null hypothesis. 95% confidence interval (CI) for each APC was calculated to determine the statistical significance of APC in each segment. The magnitude and direction of recent trends were determined using average APC (AAPC) with 95% CI.

Projection of cancer incidence

The incidence rates were taken from Population-Based Cancer Registries (PBCRs), and the projected population from the ‘report of the technical group on population projections constituted by the National Commission on population, the office of the registrar general and census commissioner, India’. The latest PBCR report for 2012-14 contained 32 PBCRS (including recently established Mansa, SAS Nagar, Sangrur, and Chandigarh registries), which was covered after more than 30 years journey of the National Cancer Registry Programme (NCRP). These PBCRS are running in 16 states and two union territories. The population covered by these registries is less than 15% of India’s total population.

Estimation of pooled rate

The annual incidence data of all registries located in different parts of the country were combined to get the annual number of cancer cases. The annual populations of all registries by age and sex in the respective five-year age groups were added up to obtain the total population for all the registries. The pooled age-specific incidence rates of cancer by site, age, and sex for all registries were obtained by dividing the respective pooled number by pooled population.

The population of the country and states

The population of the country and for various states of the country, according to age and sex by different quinquennial years from 2026 to 2036, were obtained from the report of population projections carried out for the country for the years 2011 to 2036 based on the Census of India 2011, by the Registrar General of India [16].

Estimation of cancer cases

The respective age and sex-specific pooled incidence rates by site based on all registries were multiplied by the corresponding projected age and sex-specific population figures to estimate the projected number of cancer cases by age, sex, and site for different calendar years 2026, 2031, and 2036. The number of cancer for site “s” (N) in a particular year was estimated using the relationship

N=∑nPx *nIx

Where nPx represents the projected population in the x to x+n age group for a particular year and nIx being the pooled incidence rate of cancer by site in the same age group for a particular site.

Estimating cases has been done at the national level and for various states of India.

Assumptions

The projection of the number of cancer has been made with the following assumption:

These population-based cancer registries provide rates that reflect national averages as well as rates for individual states;

Age-specific cancer incidence rates for the latest available year will remain the same over the next 15 years.

Results

During the last 30 years, 1990-2019, the number of new cancer cases, population at risk, crude estimate, age-adjusted incidence rates and modelled age-adjusted incidence rates for lip and oral cancer were shown (Table 1a). In modelled age-adjusted incidence rate the final model for the age groups 0-49, 50-69 and 70+ were 3, 2 and 2 joinpoints respectively. And those joinpoints have indicated that the annual percent change (APC) is significantly different from zero at the alpha (0.05 level). See for the variation in the rates according to age-adjusted incidence rate was first computed by the successive age intervals (0-49, 50-69, and 70+ years) from 0 through age 95+ for GBD data during the last three decades (1990-2019) of India (Figure 1a, Figure 1b, Figure 1c). Age-adjusted lip and oral cancer incidence rates have significantly increased (APC +0.71) during 1990-2004 and (APC +2.65) 2004-2012 in the age interval 0-49 years among men. After 2012, the changes were insignificant (Figure 1a). But for the age interval 50-59, age-adjusted lip and oral cancer incidence rates have significantly decreased (APC -1.56) during 1997-2004 and significantly increased (APC +0.73) during 2004-2019 among men (Figure 1b). And the age group 70+, age-adjusted lip and oral cancer incidence rates have significantly increased (APC +0.71) during 1990-2002 and significantly decreased (APC -1.67) during 2002-2011 among men. After 2011, the changes were insignificant (Figure 1c). Hence, based on the age-adjusted incidence rate, the age intervals were divided into 0-49, 50-69, and 70+ years to see for the variations if any. Analysis of the trend in age-adjusted incidence rates of lip and oral cancer showed a significant change in different age groups among men.

Table 1a.

Number of Cases, Population at Risk, Crude Estimate and Age-adjusted Incidence Rates per 100,000 Population among Men for Lip and Oral Cancer by Broad Age Groups with Modeled Age-adjusted Incidence Rate in India, 1990-2019

Year Age Groups
0-49 50-69 70+
Number of Cases Population at risk Crude
estimate
Age-Adjusted Incidence rate Modeled age-adjusted Incidence rate Number of Cases Population at risk Crude
estimate
Age-Adjusted Incidence rate Modeled age-adjusted Incidence rate Number of Cases Population at risk Crude estimate Age-Adjusted Incidence rate Modeled age-adjusted Incidence rate
1990 7289 390691841 3.35 2.01 1.97 15050 46558047 32.32 5.39 5.28 4379 8085863 54.15 3.44 3.40
1991 7429 397701387 3.35 2.00 1.99 15477 47748078 32.41 5.39 5.31 4537 8357115 54.29 3.44 3.43
1992 7436 404936278 3.29 1.95 2.00 15538 48832334 31.82 5.28 5.34 4617 8635716 53.47 3.40 3.45
1993 7689 412338428 3.33 1.97 2.01 16005 49866393 32.10 5.30 5.38 4842 8948147 54.11 3.45 3.47
1994 8049 419908771 3.41 2.01 2.03 16554 50850736 32.55 5.36 5.41 5080 9303828 54.60 3.48 3.50
1995 8194 427649261 3.39 2.00 2.04 16624 51783801 32.10 5.28 5.44 5225 9712427 53.79 3.45 3.52
1996 8582 435565951 3.47 2.05 2.06 17342 52635681 32.95 5.40 5.47 5567 10169349 54.75 3.52 3.55
1997 9154 443432131 3.62 2.13 2.07 18616 53561081 34.76 5.70 5.51 6132 10631071 57.68 3.70 3.57
1998 9357 451380298 3.61 2.11 2.09 18698 54399143 34.37 5.63 5.54* 6416 11103474 57.78 3.72 3.60
1999 9822 459411712 3.70 2.15 2.10 18156 55210574 32.88 5.39 5.45 6412 11620196 55.18 3.58 3.62
2000 10061 467582997 3.69 2.15 2.12 18190 55953009 32.51 5.32 5.37 6787 12166111 55.79 3.63 3.65
2001 10260 475058399 3.68 2.15 2.13 18600 57459725 32.37 5.31 5.29 7212 12700839 56.78 3.70 3.68
2002 10521 482586696 3.69 2.16 2.15 18950 59006239 32.12 5.28 5.20 7483 13253112 56.46 3.69 3.70*
2003 10531 490204469 3.61 2.11 2.16 19217 60631378 31.69 5.22 5.12 7579 13813481 54.87 3.59 3.64
2004 10756 497857822 3.61 2.10 2.18* 18607 62383905 29.83 4.91 5.04* 7456 14414180 51.72 3.41 3.58
2005 11420 505432980 3.76 2.18 2.23 19437 64296106 30.23 4.99 5.08 7986 15037907 53.11 3.51 3.52
2006 12284 512874938 3.96 2.30 2.29 20183 66327497 30.43 5.02 5.12 8323 15639475 53.22 3.51 3.46
2007 13174 520132181 4.16 2.42 2.35 21361 68451716 31.21 5.14 5.16 8587 16249196 52.85 3.50 3.40
2008 13903 527172936 4.30 2.49 2.42 22405 70661892 31.71 5.22 5.19 9007 16862429 53.41 3.53 3.35
2009 14365 533994967 4.37 2.52 2.48 23580 72962335 32.32 5.32 5.23 8903 17521606 50.81 3.34 3.29
2010 14694 540588251 4.39 2.53 2.55 24836 75329796 32.97 5.44 5.27 8828 18278039 48.30 3.15 3.23
2011 15176 546905473 4.45 2.56 2.61 25756 77738469 33.13 5.46 5.31 9127 19092883 47.80 3.06 3.18*
2012 15907 552955267 4.58 2.63 2.68* 26566 80212738 33.12 5.45 5.35 9586 19898997 48.18 3.06 3.20
2013 16146 558787627 4.57 2.62 2.58 26701 82760489 32.26 5.30 5.39 10554 20679852 51.03 3.35 3.23
2014 15554 564438774 4.32 2.47 2.48 27192 85369722 31.85 5.23 5.43 10929 21443514 50.97 3.44 3.25
2015 15287 569883214 4.18 2.38 2.39* 29260 87954320 33.27 5.47 5.47 11015 22295183 49.40 3.27 3.28
2016 15940 575017879 4.28 2.43 2.42 30690 90545852 33.89 5.56 5.51 11603 23244623 49.92 3.22 3.30
2017 16387 579736018 4.33 2.45 2.46 31334 93129421 33.65 5.52 5.55 12290 24355354 50.46 3.23 3.32
2018 17106 584013426 4.46 2.50 2.49 32454 95860185 33.86 5.55 5.59 13218 25436955 51.96 3.37 3.35
2019 17697 587991740 4.55 2.53 2.53 33793 98735264 34.23 5.61 5.63 13908 26459102.89 52.56 3.40 3.37

*, indicates the jointpoint location where the Annual Percent Change (APC) is significantly different from zero at the alpha= 0.05 level

Figure 1a.

Figure 1a

Age-adjusted Incidence Rates per 100,000 Population among Men for Lip and Oral Cancer for 0-49 Age Group with APC Using Joinpoint Regression in India, 1990-2019

Figure 1b.

Figure 1b

Age-adjusted Incidence Rates per 100,000 Population among Men for Lip and Oral Cancer for 50-69 Age Group with APC Using Joinpoint Regression in India, 1990-2019

Figure 1c.

Figure 1c

Age-adjusted Incidence Rates per 100,000 Population among Men for Lip and Oral Cancer for 70+ age Group with APC using Joinpoint Regression in India, 1990-2019

Projection of cancer cases

According to the projections based on total fertility rates, it showed the dynamic of population changing age structure among men in India from 2026-2036. In 2026, the projected population of men will be increased with increasing in age groups and in the age groups 25-29 years, it will be highest and after that it will decreased with increasing in age groups. But for 2031 and 2036, it will be the age groups 30-34 years and 35-39 years with highest population among men in India. And the total estimated men population of India for the years 2026, 2031, and 2326 (as of 1st March of the year) would be 732075, 758146, and 779701, respectively (Table 2a) [17].

Table 2a.

Projected Population (in 000’s) of Indian Men for Quin-Quennial Years from 2026-2036

Age-Groups 2026 2031 2036
00-04 Years 56,943 53,431 50,519
05-09 Years 59,652 56,553 53,185
10-14 Years 62,068 59,500 56,512
15-19 Years 61,038 61,878 59,432
20-24 Years 64,463 60,719 61,671
25-29 Years 66,201 63,970 60,367
30-34 Years 62,271 65,561 63,466
35-39 Years 55,840 61,499 64,879
40-44 Years 49,144 54,936 60,631
45-49 Years 43,374 48,049 53,839
50-54 Years 38,803 41,968 46,615
55-59 Years 33,466 36,980 40,135
60-64 Years 26,934 31,158 34,600
65-69 Years 19,954 24,126 28,119
70+ Years 31,924 37,818 45,731
Total 732,075 758,146 779,701

The estimate of lip and oral cancer cases among Indian men will be 131414 in 2026, will increase to 147488 during 2031, and will increase to 163224 during 2036. The estimated numbers of lip and oral cancer cases among males by age group in India are provided in Table 2b, which shows that the number of cases is highest among 55-59 years in 2026, but in 2031 & 2036, it will be highest among 60-64 years.

Table 2b.

Projected Annual Cases of lip and oral Cancer among Men during Quin-quennial Years, 2026-2036 by Age-groups

Age-Groups 2026 2031 2036
00-04 Years 33 31 29
05-09 Years 23 22 21
10-14 Years 68 65 62
15-19 Years 163 165 159
20-24 Years 723 681 692
25-29 Years 2,424 2,342 2,210
30-34 Years 7,320 7,606 7,363
35-39 Years 11,628 12,807 13,511
40-44 Years 14,799 16,790 18,258
45-49 Years 15,959 17,679 19,810
50-54 Years 17,885 19,344 21,486
55-59 Years 18,006 19,896 21,594
60-64 Years 17,880 20,684 23,262
65-69 Years 14,237 17,214 20,063
70+ 10,265 12,160 14,705
Total 131,414 147,488 163,224

The estimated numbers of cancer cases among men in various Indian states are provided in Table 2c, which shows that Uttar Pradesh has the highest burden of oral cancer cases, followed by Bihar and West Bengal in 2026. Still, in 2031 & 2036 West Bengal will be the 2nd highest oral cancer population among men. Lakshadweep has the lowest burden of oral cancer cases in 2026 followed by Dadra & Nagar Haveli and Ladakh and continue till 2036 (Table 2c).

Table 2c.

Projected Cases of Lip and Oral Cancer in India among Men during Quin-quennial Years (2026-36) by States

States 2026 2031 2036
Nagaland 208 257 287
Odisha 7,462 8,366 9,258
Puducherry 265 297 329
Punjab 4,354 5,732 6,083
Rajasthan 6,114 7,627 8,632
Sikkim 1,457 1,798 2,012
TN 6,854 7,685 9,041
Telangana 3,635 3,762 4,699
Tripura 208 257 287
UP 19,393 23,787 25,780
Uttarakhand 1,076 1,232 1,393
West Bengal 11,755 12,856 14,857
India 131,414 147,488 163,224
Andaman & Nicobar Islands 64 72 79
AP 5,858 7,546 8,244
Arunachal Pradesh 208 257 287
Assam 2,967 3,694 4,090
Bihar 16,041 11,162 12,680
Chandigarh 147 165 183
Chhattisgarh 1,658 1,859 2,057
Dadra & Nagar Haveli 29 33 36
Delhi 2,095 2,776 3,066
Goa 171 192 212
Gujarat 3,837 4,302 4,761
Haryana 2,893 3,620 3,751
Himachal Pradesh 801 901 953
Jammu & Kashmir 1,357 1,546 1,742
Jharkhand 6,244 7,444 8,247
Karnataka 5,389 6,042 6,686
Kerala 4,222 5,734 5,238
Ladakh 30 34 36
Lakshadweep 9 10 11
MP 5,809 6,514 7,208
Maharashtra 8,180 9,160 10,136
Manipur 208 257 287
Meghalaya 208 257 287
Mizoram 208 257 287

Discussion

Oral cancer is classified as cancer of the lips, mouth, and tongue. According to GLOBOCAN 2020 estimates, the incidence of oral cancer among men was the highest (16.2%) in India. In the present study, we showed the incidence rates for oral cancer in India from 1990 to 2019, as well as an estimation of the cancer incidence for all the states, union territories, and India every five years from 2026 to 2036 for lip and oral cancer (Figure 2a).

Figure 2a.

Figure 2a

Comparison of Projected Lip and Oral Cancer Cases among Indian Men in 2026, 2031 & 2036

Many studies [18] suggest that head and neck cancer, particularly oral cancer, is increasing in young adults internationally. After a steady decline since the turn of the 20th century, oral cancer incidence rates in the UK and US are now rising, particularly in women [19].

India doesn’t have a national-level cancer registry. Because of this, they estimated the federal burden of cancer as highly challenging. In terms of context, there have been numerous prior attempts to estimate the national load using deceptive techniques and procedures. To project the burden of cancer in communities using the existing cancer registry data, some researchers in the developed world have employed age period and cohort models [20], which is not feasible in India due to the lack of data in detail. The present study also used the linear regression method to assess the trend and projection of rates.

In the case of a single period and single registry, however, available rates were assumed to apply for 2026-2036. Several registries in the same state or union territory were considered for a single period, and the pooled rate was considered and thought to remain the same over the study period. For the rest of the Indian states and union territories, where the registry was unavailable, D’souza has taken age sex-specific pooled incidence rates by sites of 17 registries and assumed them to be identical for India and its states. However, this study had taken 32 registries to project the burden of cancer for the country as a whole.

For the states and union territories where a registry was not available, the nearest possible registries had been taken into account under certain assumptions as discussed in the assumption section and assumed to be the same for the respective states or union territories and further applied appropriate methods and techniques to project the cancer incidence rates at 2026, 2031 and 2036. Additionally, these rates were multiplied by the corresponding state’s or union territories’ population, which was obtained from the report of the technical group on population projections constituted by the National Commission on population, the office of the registrar general and census commissioner, India’ to arrive with an appropriate number of cancer cases [16].

This study on oral cancer projection among men in India indicates the number of cancer cases for 2026, 2031, and 2036 is 131414, 147488, and 163224, respectively. The increase in cancer cases is not only because of the rise in population size but also due to continued efforts of the government to control communicable diseases and the resultant rise in life expectancy [21].

One of the significant causes of cancer is tobacco, which is related to 24.4-65.2% of cancer among men in India [22]. Among tobacco users, chewing is more prevalent than smoking in many parts of the country [23], resulting in an additional burden of oral cancer. Some areas like East Khasi Hills district of Meghalaya contribute relatively high proportion with nearly three and half of the cancers among men. Excluding the northeast region, the percentage of highest tobacco-related cancers (TRCS) is in Ahmadabad urban PBCR for men (56.3%) [22].

In conclusion, between 1990 and 2010, the burden of oral cancer in India rapidly increased, accompanied by significant age differences, which made preventing and controlling oral cancer more difficult in India. The disease burden of oral cancer and the trends in its occurrence varied greatly from state to state.

The present study estimates the lip and oral cancer cases, which will help for planning purpose of cancer screening facilities for early detection, awareness of cancer, modifying lifestyle, reduction in tobacco use, and establishment of adequate treatment guidelines that can effectively be carried out at different levels (district hospitals, teaching hospitals, specialized hospitals, etc.) would also help in the reduction of mortality due to oral cancer as well as the burden of oral cancer.

Author Contribution Statement

All authors contributed equally in this study.

Acknowledgements

None.

Sources of Funding

This research did not receive any specific grant from public, commercial, or not-for-profit funding agencies.

Ethics approval and consent to participate

Since it is secondary data and is available in the Public domain for free on the NFHS- 5 - IIPS website. There is no need for ethical clearance.

Competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  • 1.Janbabaee g, nadi-ghara a, afshari m, moghadam sr, ashrafi my, et al. Forecasting the incidence of breast, colorectal and bladder cancers in north of iran using time series models; comparing bayesian, arima and bootstrap approaches. Asian pacific journal of environment and cancer. 2024;4(1):3–7. [Google Scholar]
  • 2.Jack a, percy c, sobin l, whelan s. International classification of diseases for oncology: Icd-o. World health organization; 2000. [Google Scholar]
  • 3.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
  • 4.Shrestha g, neupane p, lamichhane n, acharya b, siwakoti b, subedi k, et al. Cancer incidence in nepal: A three-year trend analysis 2013-2015. Asian pac j cancer care. 2020;5(3):145–50. [Google Scholar]
  • 5.Vithana C, Linhart C, Taylor R, Morrell S, Azim S. Trends in sri lankan cause-specific adult mortality 1950-2006. BMC Public Health. 2014;14:644. doi: 10.1186/1471-2458-14-644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Vithana pvsc, dheerasinghe dsaf, handagiripathira hmi, alahapperuma s, nilaweera i, et al. Sri lankan patterns of female cancers: Incidence and mortality over 1995-2010. Asian pacific journal of cancer care. 2020;6(1):27–3. [Google Scholar]
  • 7.Khandekar sp, bagdey ps, tiwari rr. Oral cancer and some epidemiological factors: A hospital based study. Indian journal of community medicine. 2006;31(3):157. [Google Scholar]
  • 8.Sankaranarayanan R, Ramadas K, Thomas G, Muwonge R, Thara S, Mathew B, et al. Effect of screening on oral cancer mortality in kerala, india: A cluster-randomised controlled trial. Lancet. 2005;365(9475):1927–33. doi: 10.1016/S0140-6736(05)66658-5. [DOI] [PubMed] [Google Scholar]
  • 9.Elango JK, Sundaram KR, Gangadharan P, Subhas P, Peter S, Pulayath C, et al. Factors affecting oral cancer awareness in a high-risk population in india. Asian Pac J Cancer Prev. 2009;10(4):627–30. [PubMed] [Google Scholar]
  • 10.Sherin N, Simi T, Shameena P, Sudha S. Changing trends in oral cancer. Indian J Cancer. 2008;45(3):93–6. doi: 10.4103/0019-509x.44063. [DOI] [PubMed] [Google Scholar]
  • 11.Mallath MK, Taylor DG, Badwe RA, Rath GK, Shanta V, Pramesh CS, et al. The growing burden of cancer in india: Epidemiology and social context. Lancet Oncol. 2014;15(6):e205–12. doi: 10.1016/S1470-2045(14)70115-9. [DOI] [PubMed] [Google Scholar]
  • 12.Coelho KR. Challenges of the oral cancer burden in india. J Cancer Epidemiol. 2012;2012:701932. doi: 10.1155/2012/701932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Krishna Rao SV, Mejia G, Roberts-Thomson K, Logan R. Epidemiology of oral cancer in asia in the past decade--an update (2000-2012) Asian Pac J Cancer Prev. 2013;14(10):5567–77. doi: 10.7314/apjcp.2013.14.10.5567. [DOI] [PubMed] [Google Scholar]
  • 14.Sankaranarayanan R. Oral cancer in india: An epidemiologic and clinical review. Oral Surg Oral Med Oral Pathol. 1990;69(3):325–30. doi: 10.1016/0030-4220(90)90294-3. [DOI] [PubMed] [Google Scholar]
  • 15.Aniskevich A, Shimanskaya I, Boiko I, Golubovskaya T, Golparian D, Stanislavova I, et al. Antimicrobial resistance in neisseria gonorrhoeae isolates and gonorrhoea treatment in the republic of belarus, eastern europe, 2009-2019. BMC Infect Dis. 2021;21(1):520 . doi: 10.1186/s12879-021-06184-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.National Commission on Population. opulation Projections for India and States 2011-2036: Report of the Technical Group on Population Projections. National Commission on Population. Ministry of Health & Family Welfare; 2020. [Google Scholar]
  • 17.Registrar General I. Census of India 2011: provisional population totals-India data sheet. Vol. 2. India: Office of the Registrar General Census Commissioner; 2011 . [Google Scholar]
  • 18.Macfarlane GJ, Boyle P, Scully C. Oral cancer in scotland: Changing incidence and mortality. Bmj. 1992;305(6862):1121–3. doi: 10.1136/bmj.305.6862.1121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shahrour MS. Cancer of the jaw and oral cavity in the syrian arab republic: An epidemiological study. East Mediterr Health J. 2005;11(3):273–86. [PubMed] [Google Scholar]
  • 20.Verdecchia A, De Angelis G, Capocaccia R. Estimation and projections of cancer prevalence from cancer registry data. Stat Med. 2002;21(22):3511–26. doi: 10.1002/sim.1304. [DOI] [PubMed] [Google Scholar]
  • 21.Jang Bahadur P, Murali D. Projections of burden of cancers: A new approach for measuring incidence cases for india and its states – till 2025. J Cancer Policy. 2018;16:57–62. [Google Scholar]
  • 22.Mathur P, Sathishkumar K, Chaturvedi M, Das P, Sudarshan KL, Santhappan S, et al. Cancer statistics, 2020: Report from national cancer registry programme, india. JCO Glob Oncol. 2020;6:1063–75. doi: 10.1200/GO.20.00122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Reddy ks, gupta pc. Tobacco control in india. Vol. 43. New delhi: Ministry of health and family welfare, government of india: 2004. [Google Scholar]

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