ORIGINAL RESEARCH article

Front. Oncol., 22 October 2025

Sec. Head and Neck Cancer

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1674054

Current and future burden trends of lip and oral cavity cancer based on estimated annual percentage change and the Bayesian age-period-cohort model: a study based on the global burden of disease 2021

  • Stomatology Department, The First People's Hospital of Yulin (The Sixth Affiliated Hospital of Guangxi Medical University), Yulin, China

Abstract

Introduction:

Lip and Oral Cavity Cancer (LOCC), as a common type of malignant cancer, has become an important public health issue. This study aims to analyze and predict the trend of the LOCC burden, providing guidance for reducing the burden of LOCC.

Methods:

This study was based on the Global Burden of Disease (GBD) database 2021. We assessed the differences in LOCC among different regions and sexes from 1990 to 2021 using Age-Standardized Rates (ASR) and Estimated Annual Percentage Change (EAPC). Additionally, Bayesian Age-Period-Cohort (BAPC) model was employed to predict the Incidence, Prevalence, Death, Disability-Adjusted Life Years (DALYs), Years of Life Lost due to disease (YLLs), and Years Lived with Disability (YLDs) of LOCC globally from 2022 to 2030.

Results:

From 1990 to 2021, the global ASR of Incidence (ASIR), ASR of Prevalence (ASPR), and ASR of YLDs for LOCC had significantly increased, while the ASR of Death (ASDR), DALYs, and YLLs had decreased. The BAPC model predicted that by 2030, the ASIR and ASPR for males would decrease, while for females, an upward trend would be observed. The middle-aged and elderly population (>50 years) would still be the main patient group (accounting for over 60%).

Conclusion:

The disease burden of LOCC remains severe at present, but it is expected to show a downward trend by 2030. Therefore, it is still necessary to intensify efforts in the prevention and control of LOCC to achieve the expectation. This study provides theoretical guidance for reducing the burden of LOCC.

Introduction

Lip and oral cavity cancer (LOCC) is a malignant cancer involving the lips, tongue, gums, oral mucosa, and salivary glands, and is one of the common cancers worldwide (). The severe impact of LOCC on patients’ speech, eating, and overall quality of life makes it an important public health issue (). Studies have shown that smoking, alcohol consumption, chewtabaccio, betelnut, and long-term ultraviolet (UV) exposure are all significant risk factors for LOCC (, ). With the intensification of global population aging and the widespread presence of these risk factors, the situation of LOCC remains severe (). Specifically, in some low- and middle-income countries, the diagnosis of LOCC is often delayed due to the lack of effective early screening and treatment methods, which leads to increased difficulty in treatment and poor prognosis ().

Beyond its impact on the physical health of LOCC patients, it exerts a substantial economic burden on different regions. For instance, in Iran, the overall economic burden attributable to oral cancer reaches 64,245,173 USD, with the cost of late-stage treatment being five times higher than that of early-stage treatment (). Similarly, in Australia, the average economic burden per patient with oral squamous cell carcinoma amounts to 61,128 USD (). Therefore, understanding the current and future trends of LOCC disease burden is crucial for reducing, controlling, and preventing LOCC. It can serve as a guide for policymakers in planning and implementing effective prevention and control programs.

Based on this, our study aims to leverage the data from the Global Burden of Disease (GBD) 2021 to stratify the current and future trends in the global burden of LOCC, and to investigate the differences across genders and age groups. This endeavor is intended to provide a scientific basis for LOCC prevention and control strategies on a global level. Through the analysis of LOCC burden, we hope to offer valuable insights to public health policymakers, thereby promoting global efforts in the prevention, early diagnosis, and treatment of LOCC, and ultimately alleviating the burden of LOCC on human health.

Methods

Data source and selection

The data on LOCC in this study were sourced from the GBD 2021 database (https://vizhub.healthdata.org/gbd-results/). This database integrates data from multiple sources and provides detailed epidemiological data for 195 countries and regions worldwide, covering 359 diseases, injuries, and risk factors (, ). Moreover, the data utilized in this study were derived from publicly accessible datasets that have been endorsed by the University of Washington, thereby eliminating any ethical concerns (, ). Finally, this study focused on analyzing the current status and future projections of LOCC based on the current data, including Incidence, Prevalence, Death, Disability-Adjusted Life Years (DALYs), Years of Life Lost (YLLs) due to premature mortality, and Years Lived with Disability (YLDs).

Data processing

To characterize the LOCC burden in 2021, this study utilized Age-Standardized Rate (ASR) to mitigate the impact of population age structure, thereby enhancing the comparability of LOCC burden across different regions (). The precision of ASR estimates was further quantified using 95% Uncertainty Intervals (UI) (). Additionally, to assess the trend in the burden of LOCC from 1990 to 2021, the Estimate Annual Percentage Change (EAPC) was employed. EAPC is a statistical measure that quantifies the change in disease incidence or mortality over time, calculated using the formula 100×(exp(β)−1), where β represents the coefficient of the time variable in a linear regression model. The EAPC results provide the average annual percentage change, with positive values indicating an increase over time and negative values indicating a decrease (, ). The 95% Confidence Interval (CI) reflects the uncertainty around the EAPC estimate typically (, ).

Subsequently, to explore the disease burden trends of LOCC in the next nine years, we employed the Bayesian age-period-cohort (BAPC) model to project the LOCC burden up to 2030. This model integrates three principal dimensions (age effects), period effects, and cohort effects. Utilizing a Bayesian statistical framework, the BAPC model allows researchers to incorporate prior knowledge and quantify uncertainty within the model. The Bayesian approach, by combining data information with prior distributions to generate posterior distributions, provides more precise parameter estimates. The BAPC model not only describes historical trends but also predicts future disease burden. Compared with traditional epidemiological models, the BAPC model offers a more comprehensive consideration of the various factors influencing disease trends, providing a more detailed and dynamic view of disease burden. Additionally, the Bayesian nature of the model enables the quantification of uncertainty, which enhances the interpretability and credibility of the results (13, ).

Results

The burden of LOCC from 1990 to 2021

Globally, compared to 1990, the number of LOCC cases or years in terms of Incidence, Prevalence, Death, DALYs, YLLs, and YLDs had increased several-fold in 2021. However, the number only provides a rudimentary snapshot of the LOCC burden at different time points. Therefore, this study employed ASR to compare the current burden of LOCC across different regions. In 2021, the age-standardized prevalence rate (ASPR) and the age-standardized rate of YLDs were highest in Australasia, with High-income North America and South Asia following closely behind. However, the highest age-standardized incidence rate (ASIR), age-standardized death rate (ASDR), age-standardized rate of DALYs, and YLLs were all observed in South Asia. Focusing solely on 2021, LOCC patients in three regions, including Australasia, had longer survival durations and later time points of death. Notably, the ASDR in South Asia was more than four times that of Australasia. Thus, the burden of LOCC in South Asia remains the most severe (Table 1–6).

Table 1

Locations1990 Number
(95% UI, cases)
1990 Age-standardized rate (95% UI, per 100,000)2021 Number
(95% UI, cases)
2021 Age-standardized rate (95% UI, per 100,000)Estimated annual percentage change (95% CI, 100%)
Both sexesIncidence
Global174077 (167404-181621)4.3 (4.1-4.5)421577 (389878-449782)4.9 (4.5-5.2)0.3981 (0.3332-0.4631)
High-middle SDI36685 (35237-38039)3.6 (3.5-3.8)75381 (68753.5-81578)3.9 (3.5-4.2)0.1374 (0.044-0.2308)
High SDI58203 (56115-59655)5.4 (5.3-5.6)104871 (97792-109602)5.4 (5.1-5.7)0.0629 (0.0028-0.1231)
Low-middle SDI35520 (31899-39325)5.4 (4.9-6.0)102039 (90115-113221)6.7 (6.0-7.5)0.6426 (0.559-0.7263)
Low SDI9501 (8202-10847)3.9 (3.4-4.4)25089 (21421-28947)4.6 (3.9-5.2)0.3313 (0.2285-0.4342)
Middle SDI33981 (31865-36099)3.1 (2.9-3.3)113857 (102889-125357)4.2 (3.8-4.6)0.8903 (0.7929-0.9877)
Andean Latin America283 (247-322)1.3 (1.2-1.5)945 (752-1166)1.6 (1.3-1.9)0.6085 (0.4407-0.7766)
Australasia1692 (1555-1832)7.3 (6.7-7.9)3469 (3088-3840)7.0 (6.3-7.7)-0.1487 (-0.3425-0.0453)
Caribbean1069 (1002-1143)4.1 (3.8-4.4)2111 (1823-2406)3.9 (3.4-4.5)0.0733 (-0.0339-0.1806)
Central Asia1264 (1176-1371)2.6 (2.4-2.8)2057 (1800-2354)2.4 (2.1-2.7)-0.1940 (-0.4477-0.0604)
Central Europe6364 (6075-6683)4.3 (4.1-4.5)11404 (10501-12286)5.6 (5.2-6.1)0.8003 (0.6951-0.9056)
Central Latin America1530 (1477-1576)1.8 (1.8-1.9)4442 (3946-4965)1.8 (1.6-2.0)-0.2814 (-0.3885--0.1743)
Central Sub-Saharan Africa464 (357-601)2.0 (1.6-2.5)1307 (996-1674)2.2 (1.7-2.8)0.3127 (0.1506-0.475)
East Asia16020 (13746-18301)1.8 (1.5-2.0)63514 (51900-77072)2.9 (2.4-3.5)1.8681 (1.7032-2.0333)
Eastern Europe13201 (12692-13983)4.7 (4.6-5.0)21039 (19042-23091)6.5 (5.9-7.1)0.6676 (0.4681-0.8675)
Eastern Sub-Saharan Africa2582 (2247-2946)3.2 (2.8-3.7)6336 (5060-7633)3.4 (2.8-4.0)0.0284 (-0.0526-0.1095)
High-income Asia Pacific5917 (5642-6147)2.9 (2.8-3.1)18189 (15884-19823)4.2 (3.8-4.5)1.0902 (0.7726-1.4088)
High-income North America24125 (23178-24789)7.2 (6.9-7.4)36565 (34331-38154)5.9 (5.5-6.1)-0.6355 (-0.7335--0.5374)
North Africa and Middle East1836 (1615-2089)1.1 (0.9-1.2)6327 (5580-7234)1.3 (1.2-1.5)0.8392 (0.7803-0.8981)
Oceania60 (43-76)1.9 (1.4-2.3)183 (135-236)2.2 (1.6-2.8)0.6785 (0.5818-0.7753)
South Asia49608 (44763-54895)7.9 (7.1-8.7)152646 (131077-170703)9.8 (8.5-10.9)0.5662 (0.4527-0.6798)
Southeast Asia9187 (8040-10245)3.5 (3.1-3.9)27647 (23814-31578)4.2 (3.6-4.8)0.4198 (0.3705-0.4691)
Southern Latin America1361 (1247-1482)2.9 (2.7-3.2)2177 (1970-2383)2.6 (2.3-2.8)-0.1705 (-0.4026-0.0622)
Southern Sub-Saharan Africa1137 (877-1347)3.9 (3.0-4.7)2506 (2208-2801)4.1 (3.6-4.5)-0.0300 (-0.1748-0.1151)
Tropical Latin America3438 (3267-3601)3.6 (3.4-3.8)9814 (9161-10427)3.8 (3.5-4.0)0.0724 (-0.0283-0.1733)
Western Europe31991(30658-33257)6.1 (5.8-6.3)46069 (42748-48717)5.6 (5.3-5.9)-0.1889 (-0.2550--0.1228)
Western Sub-Saharan Africa940 (761-1099)1.0 (0.8-1.2)2819 (2216-3442)1.3 (1.1-1.6)0.8038 (0.7445-0.8632)
FemaleIncidence
Global55690 (52276-59041)2.6 (2.4-2.7)148660 (135703-160404)3.3 (3.0-3.5)0.6907 (0.6121-0.7695)
High-middle SDI8939 (8357-9492)1.6 (1.5-1.7)22516 (20180-24622)2.2 (1.9-2.4)0.9264 (0.8395-1.0134)
High SDI17964 (16803-18604)2.9 (2.8-3.0)36045 (31689-38609)3.4 (3.1-3.6)0.5455 (0.4696-0.6214)
Low-middle SDI13621 (11888-15392)4.2 (3.6-4.7)43158 (37580-49407)5.5 (4.8-6.3)0.8052 (0.6984-0.9121)
Low SDI3756 (3114-4364)3.1 (2.6-3.6)10593 (8941-12392)3.8 (3.2-4.4)0.4361 (0.3124-0.5598)
Middle SDI11359 (10459-12230)2.1 (1.9-2.2)36244 (32427-40239)2.6 (2.3-2.9)0.5103 (0.3879-0.633)
Andean Latin America133 (115-151)1.2 (1.1-1.4)503 (398-630)1.6 (1.3-2.0)0.8642 (0.6851-1.0437)
Australasia530 (480-568)4.2 (3.8-4.5)1194 (1042-1325)4.5 (4.0-5.0)0.2746 (0.0343-0.5155)
Caribbean324 (304-346)2.4 (2.2-2.6)598 (523-679)2.1 (1.8-2.4)-0.2869 (-0.4151--0.1584)
Central Asia402 (367-443)1.4 (1.3-1.6)803 (695-912)1.7 (1.5-1.9)0.5910 (0.2850-0.8980)
Central Europe1399 (1332-1463)1.7 (1.6-1.8)3056 (2779-3306)2.6 (2.4-2.8)1.4885 (1.4116-1.5654)
Central Latin America646 (619-669)1.5 (1.4-1.5)1999 (1747-2258)1.5 (1.3-1.7)-0.0801 (-0.2099-0.0499)
Central Sub-Saharan Africa193 (143-251)1.6 (1.1-2.1)546 (372-794)1.7 (1.2-2.6)0.2725 (0.1444-0.4008)
East Asia5591 (4605-6680)1.2 (1.0-1.5)15657 (12336-19421)1.4 (1.1-1.8)0.3401 (0.1486-0.532)
Eastern Europe2917 (2720-3084)1.7 (1.6-1.8)5840 (5232-6534)3.0 (2.7-3.4)1.7539 (1.5160-1.9923)
Eastern Sub-Saharan Africa969 (836-1155)2.4 (2.1-2.8)2449 (2005-2989)2.5 (2.1-3.0)-0.0108 (-0.1210-0.0996)
High-income Asia Pacific2176 (2003-2313)2.0 (1.8-2.1)7229 (5701-8207)2.9 (2.5-3.2)1.2882 (0.9727-1.6046)
High-income North America8515 (7922-8845)4.4 (4.1-4.5)12620 (11417-13369)3.8 (3.5-4.0)-0.5690 (-0.6747--0.4631)
North Africa and Middle East735 (640-845)0.9 (0.7-1.0)2735 (2396-3147)1.2 (1.0-1.3)1.2730 (1.1681-1.3781)
Oceania22 (16-29)1.4 (1.1-1.9)65 (49-86)1.7 (1.3-2.2)0.5348 (0.4427-0.6270)
South Asia17783 (15343-20148)5.9 (5.1-6.7)60219 (52360-69313)7.7 (6.7-8.8)0.6734 (0.5205-0.8265)
Southeast Asia3971 (3380-4511)2.9 (2.5-3.3)11125 (9383-13161)3.3 (2.8-3.9)0.0901 (0.0050-0.1753)
Southern Latin America332 (311-351)1.3 (1.2-1.4)760 (691-824)1.6 (1.4-1.7)1.0493 (0.8027-1.2965)
Southern Sub-Saharan Africa330 (271-395)2.0 (1.7-2.5)848 (749-961)2.5 (2.2-2.8)0.8037 (0.6012-1.0065)
Tropical Latin America819 (770-855)1.7 (1.6-1.8)2777 (2534-2943)2.0 (1.8-2.1)0.3208 (0.1954-0.4464)
Western Europe7366 (6906-7654)2.4 (2.3-2.5)15947 (14137-17124)3.5 (3.2-3.7)1.4558 (1.3099-1.6020)
Western Sub-Saharan Africa528 (418-631)1.2 (0.9-1.4)1681 (1300-2142)1.5 (1.2-1.9)0.8315 (0.7870-0.8761)
MaleIncidence
Global118387 (112776-124445)6.2 (5.9-6.5)272917 (245321-296015)6.7 (6.0-7.2)0.2294 (0.1648-0.2941)
High-middle SDI27745 (26682-28937)6.1 (5.8-6.3)52865 (47657-58782)5.8 (5.3-6.5)-0.2089 (-0.3050--0.1127)
High SDI40238 (38980-41402)8.5 (8.2-8.7)68826 (65517-71809)7.7 (7.3-8.0)-0.2540 (-0.3085--0.1995)
Low-middle SDI21899 (18789-25089)6.6 (5.6-7.5)58881 (48621-67462)8.0 (6.7-9.1)0.5842 (0.5139-0.6546)
Low SDI5744 (4716-6786)4.7 (3.9-5.6)14496 (11581-17286)5.4 (4.3-6.4)0.2913 (0.2007-0.3819)
Middle SDI22621 (20849-24615)4.2 (3.9-4.6)77613 (66548-87891)5.9 (5.1-6.7)1.1157 (1.0162-1.2152)
Andean Latin America150 (128-176)1.5 (1.2-1.7)442 (348-558)1.6 (1.2-2.0)0.3509 (0.1690-0.5330)
Australasia1161 (1025-1307)10.8 (9.6-12.2)2274 (1965-2614)9.7 (8.4-11.1)-0.3813 (-0.5588--0.2035)
Caribbean744 (685-809)5.9 (5.5-6.4)1513 (1293-1748)6.0 (5.1-6.9)0.2477 (0.1114-0.3842)
Central Asia861 (801-938)4.2 (3.9-4.6)1254 (1091-1449)3.3 (2.9-3.8)-0.6827 (-0.9341--0.4307)
Central Europe4964 (4724-5251)7.5 (7.1-7.9)8348 (7598-9112)9.1 (8.3-10.0)0.5412 (0.4101-0.6726)
Central Latin America883 (847-921)2.2 (2.1-2.3)2443 (2138-2752)2.1 (1.9-2.4)-0.3947 (-0.5126--0.2767)
Central Sub-Saharan Africa270 (199-399)2.5 (1.9-3.5)761 (572-993)2.8 (2.1-3.6)0.3741 (0.2004-0.5482)
East Asia10429 (8674-12391)2.4 (2.0-2.8)47856 (37470-60188)4.6 (3.6-5.7)2.4966 (2.3051-2.6885)
Eastern Europe10284 (9842-11040)9.3 (8.9-9.9)15198 (13344-17068)11.0 (9.7-12.4)0.2457 (0.0599-0.4319)
Eastern Sub-Saharan Africa1613 (1355-1864)4.1 (3.4-4.7)3887 (2987-4749)4.4 (3.5-5.3)0.1274 (0.0665-0.1882)
High-income Asia Pacific3741 (3584-3897)4.2 (4.0-4.4)10959 (9948-11869)5.7 (5.2-6.2)0.8593 (0.5371-1.1826)
High-income North America15610 (15137-16027)10.6 (10.2-10.8)23944 (22612-25016)8.2 (7.8-8.6)-0.7420 (-0.8528--0.6311)
North Africa and Middle East1101 (929-1290)1.2 (1.0-1.5)3591 (3103-4115)1.5 (1.3-1.7)0.5225 (0.4813-0.5638)
Oceania38 (26-49)2.3 (1.6-2.9)118 (84-153)2.7 (1.9-3.5)0.7578 (0.6574-0.8584)
South Asia31824 (27673-36043)9.7 (8.3-11.0)92426 (73789-107477)12.0 (9.6-13.9)0.5758 (0.4880-0.6637)
Southeast Asia5216 (4461-5961)4.2 (3.6-4.7)16522 (13976-19047)5.2 (4.4-6.0)0.6546 (0.6157-0.6936)
Southern Latin America1028 (919-1148)4.8 (4.3-5.4)1416 (1235-1613)3.7 (3.2-4.2)-0.6689 (-0.9129--0.4242)
Southern Sub-Saharan Africa806 (586-996)6.3 (4.5-7.8)1658 (1411-1863)6.2 (5.3-6.9)-0.3475 (-0.5148--0.1799)
Tropical Latin America2618 (2473-2758)5.7 (5.4-6.0)7036 (6543-7597)5.9 (5.4-6.3)0.0427 (-0.0673-0.1529)
Western Europe24624 (23573-25815)10.4(10.0-10.9)30121 (27818-32159)7.9 (7.4-8.5)-0.8810 (-0.9396--0.8224)
Western Sub-Saharan Africa411 (326-502)0.9 (0.7-1.0)1138 (868-1421)1.1 (0.8-1.3)0.6852 (0.5952-0.7753)

Changes in lip and oral cavity cancer Incidence by regions and sexes.

Table 2

Locations1990 Number
(95% UI, cases)
1990 Age-standardized rate (95% UI, per 100,000)2021 Number
(95% UI, cases)
2021 Age-standardized rate (95% UI, per 100,000)Estimated annual percentage change (95% CI, 100%)
Both sexes
Global97402 (92506-102361)2.5 (2.3-2.6)208379 (191288-224162)2.4 (2.2-2.6)-0.1142 (-0.1675--0.0608)
High-middle SDI19478 (18676-20329)2.0 (1.9-2.1)31196 (28448-33893)1.6 (1.5-1.7)-0.8570 (-0.9267--0.7872)
High SDI20812 (19950-21348)1.9 (1.8-2.0)31747 (29014-33462)1.5 (1.4-1.6)-0.7532 (-0.8076--0.6988)
Low-middle SDI26672 (23882-29567)4.3 (3.8-4.7)67360 (59761-74529.)4.7 (4.1-5.1)0.1991 (0.1431-0.2551)
Low SDI7278 (6331-8263)3.2 (2.8-3.6)17333 (14819-19852)3.4 (2.9-3.9)0.0747 (-0.0083-0.1578)
Middle SDI23048 (21514-24578)2.3 (2.1-2.4)60565 (54822-66426)2.3 (2.1-2.5)-0.0579 (-0.1052--0.0106)
Andean Latin America206 (179-235)1.0 (0.9-1.2)537 (426-658)0.9 (0.7-1.1)-0.2902 (-0.4251--0.1552)
Australasia420 (391-448)1.8 (1.7-1.9)720 (643-793)1.3 (1.2-1.5)-0.9718 (-1.2489--0.6940)
Caribbean664 (620-715)2.6 (2.5-2.8)1202 (1041-1376)2.2 (1.9-2.5)-0.3013 (-0.4092--0.1932)
Central Asia894 (828-973)1.9 (1.7-2.0)1284 (1124-1460)1.6 (1.4-1.8)-0.6121 (-0.7923--0.4315)
Central Europe4116 (3937-4305)2.8 (2.7-3.0)6001 (5520-6457)2.9 (2.7-3.1)0.014 (-0.0592-0.0873)
Central Latin America1052 (1014-1084)1.3 (1.3-1.4)2553 (2271-2856)1.0 (0.9-1.2)-0.9621 (-1.0695--0.8546)
Central Sub-Saharan Africa366 (285-474)1.7 (1.4-2.1)951 (721-1223)1.8 (1.3-2.3)0.1094 (0.0010-0.2179)
East Asia10468 (8942-11942)1.2 (1.1-1.4)26513 (21531-32205)1.2 (1.0-1.5)0.0767 (-0.0391-0.1926)
Eastern Europe7191 (6920-7572)2.6 (2.5-2.7)9009 (8172-9925)2.7 (2.4-3.0)-0.3604 (-0.5531--0.1673)
Eastern Sub-Saharan Africa2016 (1768-2307)2.7 (2.4-3.1)4492 (3620-5418)2.6 (2.1-3.1)-0.198 (-0.2449--0.1511)
High-income Asia Pacific1976 (1872-2048)1.0 (0.9-1.0)5917 (4977-6492)1.1 (1.0-1.2)0.0541 (-0.2924-0.4017)
High-income North America6809 (6495-7009)2.0 (1.9-2.0)8855 (8160-9270)1.3 (1.2-1.4)-1.2256 (-1.3958--1.0551)
North Africa and Middle East1201 (1048-1361)0.7 (0.6-0.8)3089 (2728-3518)0.7 (0.6-0.8)-0.1222 (-0.1652--0.0791)
Oceania40 (29-51)1.4 (1.0-1.7)120 (87-155)1.6 (1.2-2.0)0.6374 (0.5483-0.7265)
South Asia36681 (32922-40660)6.2 (5.5-6.9)97154 (84355-108404)6.5 (5.7-7.)0.0274 (-0.0546-0.1095)
Southeast Asia6096 (5308-6820)2.5 (2.2-2.8)15400 (13307-17498)2.5 (2.2-2.8)-0.1751 (-0.2264--0.1238)
Southern Latin America788 (723-860)1.7 (1.6-1.9)1074 (975-1170)1.2 (1.1-1.3)-0.7292 (-0.9522--0.5057)
Southern Sub-Saharan Africa771 (587-923)2.8 (2.1-3.4)1605 (1417-1788)2.7 (2.4-3.0)-0.2362 (-0.4675--0.0043)
Tropical Latin America2310 (2193-2425)2.5 (2.4-2.7)5714 (5312-6066)2.2 (2.1-2.3)-0.4524 (-0.5593--0.3454)
Western Europe12607 (12109-13022)2.3 (2.2-2.4)14227 (12881-15084)1.5 (1.4-1.6)-1.2628 (-1.3406--1.1850)
Western Sub-Saharan Africa719 (586-841)0.8 (0.7-2.0)1955 (1557-2358)1.0 (0.8-1.2)0.5845 (0.5317-0.6373)
Female
Global30412 (28095-32661)1.4 (1.3-1.6)71488 (64699-78442)1.6 (1.4-1.7)0.1424 (0.0649-0.2199)
High-middle SDI4764 (4441-5084)0.9 (0.8-0.9)8753 (7833-9480)0.8 (0.7-0.9)-0.4395 (-0.5133--0.3657)
High SDI6154 (5666-6398)1.0 (0.9-1.0)10845 (9172-11834)0.9 (0.8-0.9)-0.3224 (-0.3966--0.2481)
Low-middle SDI9638 (8334-10938)3.2 (2.7-3.6)26857 (23443-30604)3.6 (3.2-4.1)0.3532 (0.2677-0.4387)
Low SDI2715 (2268-3167)2.4 (2.0-2.8)6875 (5882-8044)2.7 (2.3-3.1)0.1918 (0.0865-0.2972)
Middle SDI7112 (6553-7662)1.4 (1.3-1.5)18106 (16077-20180)1.3 (1.2-1.5)-0.4032 (-0.4804--0.3259)
Andean Latin America92 (81-105)0.9 (0.8-1.0)271 (216-337)0.9 (0.7-1.1)-0.1211 (-0.2697-0.0278)
Australasia135 (124-144)1.0 (0.9-1.1)251 (210-279)0.8 (0.7-0.9)-0.6814 (-0.9861--0.3758)
Caribbean191 (179-204)1.5 (1.4-1.6)335 (294-384)1.1 (1.0-1.3)-0.6148 (-0.7389--0.4906)
Central Asia268 (239-299)1.0 (0.9-1.1)457 (399-517)1.0 (0.9-1.1)0.0705 (-0.1610-0.3024)
Central Europe839 (801-880)1.0 (1.0-1.1)1486 (1338-1604)1.2 (1.1-1.3)0.5257 (0.4347-0.6167)
Central Latin America423 (405-439)1.1 (1.0-1.1)1083 (948-1212)0.8 (0.7-0.9)-0.8609 (-1.0029--0.7187)
Central Sub-Saharan Africa145 (108-189)1.3 (1.0-1.7)379 (254-551)1.3 (0.9-2.0)0.0417 (-0.0280-0.1115)
East Asia3333 (2755-3961)0.8 (0.7-0.9)5742 (4554-7078)0.5 (0.4-0.6)-1.7080 (-1.8764--1.5394)
Eastern Europe1541 (1450-1615)0.9 (0.8-0.9)2338 (2096-2604)1.1 (1.0-1.2)0.4123 (0.2722-0.5525)
Eastern Sub-Saharan Africa714 (616-854)1.9 (1.2-2.3)1622 (1340-1960)1.8 (1.5-2.2)-0.2713 (-0.3419--0.2007)
High-income Asia Pacific691 (629-728)0.6 (0.6-0.7)2670 (1997-3098)0.8 (0.6-0.9)0.3256 (-0.0301-0.6825)
High-income North America2386 (2174-2497)1.2 (1.1-1.2)3011 (2628-3222)0.8 (0.7-0.9)-1.2177 (-1.3831--1.0520)
North Africa and Middle East453 (390-517)0.6 (0.5-0.7)1234 (1085-1402)0.6 (0.5-0.7)0.2767 (0.1808-0.3726)
Oceania12 (9-16)1.0 (0.7-1.2)37 (28-49)1.1 (0.8-1.4)0.5564 (0.4855-0.6273)
South Asia12410 (10628-14112)4.5 (3.7-5.1)36201 (31470-41708)4.8 (4.2-5.6)0.1190 (-0.0025-0.2407)
Southeast Asia2393 (2055-2724)1.9 (1.7-2.2)5768 (4856-6823)1.8 (1.5-2.1)-0.4598 (-0.5641--0.3554)
Southern Latin America197 (183-207)0.8 (0.7-0.8)382 (343-413)0.7 (0.7-0.8)0.3250 (0.0915-0.5591)
Southern Sub-Saharan Africa210 (171-255)1.4 (1.1-1.7)518 (460-584)1.6 (1.4-1.8)0.5812 (0.3059-0.8574)
Tropical Latin America539 (503-565)1.2 (1.1-1.3)1570 (1410-1677)1.1 (1.0-1.2)-0.3237 (-0.4545--0.1928)
Western Europe3036 (2804-3161)0.9 (0.8-0.9)4997 (4261-5434)0.9 (0.8-1.0)0.1425 (0.0588-0.2262)
Western Sub-Saharan Africa393 (311-471)0.9 (0.7-1.1)1127 (890-1425)1.1 (0.9-1.4)0.6491 (0.5864-0.7118)
Male
Global66990 (62782-71608)3.6 (3.4-3.9)136890 (120655-149372)3.4 (3.0-3.7)-0.2789 (-0.3244--0.2334)
High-middle SDI14714 (14079-15385)3.4 (3.2-3.5)22443 (20142-24822)2.5 (2.3-2.8)-1.0733 (-1.1405--1.006)
High SDI14657 (14191-15051)3.2 (3.0-3.2)20902 (19819-21889)2.3 (2.1-2.4)-1.0570 (-1.1120--1.0020)
Low-middle SDI17034 (14536-19575)5.4 (4.6-6.2)40502 (33644-46284)5.8 (4.8-6.6)0.1638 (0.1226-0.2050)
Low SDI4562 (3778-5393)3.9 (3.3-4.7)10457 (8399-12440)4.1 (3.3-4.9)0.0369 (-0.0350-0.1088)
Middle SDI15935 (14660-17390)3.2 (2.9-3.5)42458 (36636-47416)3.3 (2.9-3.7)0.1388 (0.0926-0.1849)
Andean Latin America113 (96-133)1.2 (1.0-1.4)266 (211-334)1.0 (0.8-1.2)-0.4436 (-0.5954--0.2915)
Australasia284 (257-313)2.7 (2.5-3.0)468 (408-529)1.9 (1.7-2.1)-1.1781 (-1.4448--0.9107)
Caribbean473 (437-518)3.9 (3.6-4.2)866 (737-1007)3.4 (2.9-4.0)-0.1469 (-0.2787--0.0149)
Central Asia625 (582-683)3.2 (3.0-3.5)827 (722-952)2.3 (2.0-2.6)-1.0245 (-1.2088--0.8399)
Central Europe3277 (3119-3450)5.1 (4.8-5.3)4515 (4144-4895)4.9 (4.5-5.4)-0.1864 (-0.2846--0.0881)
Central Latin America628 (602-653)1.6 (1.6-1.7)1469 (1286-1657)1.3 (1.1-1.5)-0.9860 (-1.099--0.8729)
Central Sub-Saharan Africa220 (162-322)2.1 (1.6-3.0)572 (429-749)2.3 (1.8-2.9)0.2063 (0.0856-0.3272)
East Asia7135 (5907-8495)1.8 (1.5-2.1)20770 (16201-26057)2.1 (1.6-2.6)0.7324 (0.5876-0.8775)
Eastern Europe5649 (5405-6018)5.3 (5.1-5.7)6670 (5872-7520)4.8 (4.3-5.5)-0.7124 (-0.9048--0.5197)
Eastern Sub-Saharan Africa1302 (1103-1522)3.5 (2.9-4.0)2869 (2234-3500)3.5 (2.8-4.2)-0.0706 (-0.1045--0.0366)
High-income Asia Pacific1285 (1241.4-1327)1.5 (1.4-1.5)3246 (2971-3434)1.6 (1.4-1.6)-0.2271 (-0.5713-0.1183)
High-income North America4423 (4283-4542)3.0 (2.9-3.1)5844 (5475-6103)2.0 (1.8-2.1)-1.3253 (-1.5100--1.1404)
North Africa and Middle East748 (625-881)0.9 (0.8-1.1)1855 (1612-2123)0.8 (0.7-0.9)-0.3956 (-0.4495--0.3417)
Oceania27 (19-36)1.8 (1.2-2.3)82 (58-108)2.0 (1.5-2.7)0.6716 (0.5714-0.7719)
South Asia24271 (21049-27547)7.8 (6.7-8.9)60952 (49383-70777)8.3 (6.7-9.5)0.0639 (0.0022-0.1255)
Southeast Asia3702 (3167-4226)3.2 (2.7-3.6)9632 (8243-11109)3.2 (2.8-3.7)0.0123 (-0.0128-0.0374)
Southern Latin America591 (528-661)2.9 (2.6-3.2)691 (609-782)1.8 (1.6-2.0)-1.1603 (-1.3943--0.9256)
Southern Sub-Saharan Africa560 (405-694)4.6 (3.3-5.7)1086 (930-1218)4.3 (3.7-4.8)-0.5300 (-0.776--0.2834)
Tropical Latin America1771 (1675-1867)4.1 (3.8-4.3)4143 (3858-4452)3.5 (3.3-3.8)-0.4345 (-0.5494--0.3195)
Western Europe9570 (9164-9940)4.1 (3.9-4.2)9230 (8525-9803)2.3 (2.1-2.4)-1.8678 (-1.9557--1.7799)
Western Sub-Saharan Africa325 (257-396)0.7 (0.6-0.9)828 (642-1033)0.8 (0.7-1.0)0.4618 (0.3889-0.5348)

Changes in lip and oral cavity cancer Deaths by regions and sexes.

Table 3

Locations1990 Number
(95% UI, cases)
1990 Age-standardized rate (95% UI, per 100,000)2021 Number
(95% UI, cases)
2021 Age-standardized rate (95% UI, per 100,000)Estimated annual percentage change (95% CI, 100%)
Both sexes
Global587479 (568848-605472)13.9 (13.4-14.3)1538007 (1435013-1633910)17.7 (16.5-18.8)0.8167 (0.7644-0.869)
High-middle SDI119288 (114980-123539)11.5 (11.1-11.9)291257 (266249-315946)15.1 (13.9-16.4)0.9095 (0.8257-0.9934)
High SDI265628 (256944-271581)25.1 (24.4-25.7)497975 (472450-517411)27.3 (26.1-28.3)0.3903 (0.3151-0.4656)
Low-middle SDI85381 (77410-94379)11.7 (10.6-12.9)287203 (251575-320280)17.7 (15.6-19.6)1.2932 (1.1636-1.4230)
Low SDI21900 (18812-25057)8.0 (6.9-9.1)67580 (57110-79277)10.8 (9.2-12.5)0.8007 (0.6576-0.944)
Middle SDI94680 (88988-100398)7.8 (7.3-8.3)392726 (354064-434502)13.9 (12.6-15.4)1.8834 (1.7527-2.0142)
Andean Latin America718 (625-813)3.1 (2.7-3.5)3158 (2493-3920)5.1 (4.0-6.4)1.8574 (1.6934-2.0215)
Australasia8540 (7867-9235)37.2 (34.3-40.3)19360 (17292-21470)40.6 (36.6-44.8)0.3218 (0.1694-0.4743)
Caribbean3164 (2979-3356)11.7 (11.0-12.4)7054 (6075-8094)13.1 (11.3-15.1)0.6574 (0.5381-0.7768)
Central Asia3584 (3358-3873)7.0 (6.6-7.6)6703 (5856-7588)7.4 (6.5-8.3)0.2509 (-0.0929-0.5958)
Central Europe19525 (18539-20432)13.2 (12.5-13.8)42578 (38925-46197)21.8 (19.9-23.7)1.5905 (1.4366-1.7446)
Central Latin America4135 (3997-4264)4.4 (4.3-4.5)14706 (13022-16593)5.7 (5.1-6.4)0.7209 (0.635-0.8069)
Central Sub-Saharan Africa1043 (794-1356)3.8 (3.0-4.9)3470 (2626-4487)5.0 (3.8-6.4)0.8411 (0.593-1.0898)
East Asia45700 (39379-51927)4.6 (3.9-5.2)250064 (206079-300702)11.4 (9.5-13.7)3.3177 (3.1823-3.4533)
Eastern Europe32742 (31288-35020)11.8 (11.3-12.7)61763 (55837-67693)19.6 (17.8-21.5)1.4589 (1.2156-1.7027)
Eastern Sub-Saharan Africa5856 (5113-6673)6.5 (5.7-7.3)17283 (13570-21137)8.0 (6.4-9.6)0.5903 (0.4352-0.7457)
High-income Asia Pacific20976 (20119-21796)10.2 (9.8-10.6)60153 (54034-65073)16.8 (15.3-18.0)1.7110 (1.3867-2.0363)
High-income North America123452 (119575-126380)37.4 (36.3-38.2)197418 (187715-205139)32.6 (31.1-33.8)-0.3975 (-0.4695--0.3255)
North Africa and Middle East5393 (4785-6218)2.7 (2.4-3.1)24545 (21526-28272)4.7 (4.1-5.4)1.8601 (1.7726-1.9476)
Oceania178 (129-226)4.7 (3.4-5.9)562 (420-721)5.8 (4.4-7.4)0.8092 (0.6957-0.9228)
South Asia122433 (111426-135083)17.4 (15.8-19.1)447882 (382112-503421)26.9 (23.1-30.2)1.3426 (1.1874-1.498)
Southeast Asia27164 (23868-30398)9.2 (8.1-10.3)98530 (84512-113952)13.9 (12.0-16.1)1.1642 (1.0764-1.2521)
Southern Latin America4177 (3837-4538)8.9 (8.2-9.6)7874 (7116-8644)9.5 (8.6-10.4)0.4896 (0.2321-0.7476)
Southern Sub-Saharan Africa3092 (2425-3626)9.8 (7.6-11.6)7127 (6250-8030)10.7 (9.4-12.0)0.1425 (0.0827-0.2023)
Tropical Latin America9497 (9032-9936)9.2 (8.7-9.6)32002 (30163-33901)12.1 (11.4-12.8)0.7947 (0.7004-0.889)
Western Europe143929 (138625-149532)28.2 (27.2-29.3)228216 (213878-240059)29.7 (28.1-31.1)0.2621 (0.1562-0.3681)
Western Sub-Saharan Africa2170 (1735-2552)2.1 (1.7-2.5)7548 (5755-9413)3.1 (2.4-3.7)1.1718 (1.0441-1.2997)
Female
Global850043 (783392-917046)38.6 (35.6-41.7)1846853 (1681594-2028079)41 (37.6-45.4)0.0802 (-0.0104-0.1709)
High-middle SDI31653 (29797-33536)5.6 (5.3-6.0)100068 (90014-109916)9.9 (9.0-10.9)1.9178 (1.8475-1.9881)
High SDI82592 (78596-85170)14.0 (13.4-14.4)171808 (156304-181701)17.8 (16.6-18.7)0.9036 (0.8214-0.9858)
Low-middle SDI35062 (31040-39501)9.7 (8.5-10.9)129778 (112482-149017)15.5 (13.5-17.8)1.4644 (1.3225-1.6065)
Low SDI9284 (7751-10839)6.8 (5.6-7.9)30791 (25762-36369)9.6 (8.1-11.2)0.9086 (0.7521-1.0653)
Middle SDI34878 (32314-37569)5.7 (5.3-6.2)136584 (121840-151053)9.5 (8.5-10.5)1.4919 (1.3432-1.6409)
Andean Latin America2542 (2217-2889)21.9 (19.0-24.8)6535 (5189-8182)20.6 (16.4-25.8)-0.2715 (-0.4313--0.1115)
Australasia2938 (2730-3108)23.8 (22.1-25.2)4647 (4067-5090)17.6 (15.8-19.2)-0.8876 (-1.1778--0.5966)
Caribbean4664 (4367-5012)33.7 (31.7-36.2)7448 (6474-8626)26.4 (22.9-30.6)-0.6179 (-0.7371--0.4985)
Central Asia7278 (6745-7932)25.7 (23.8-28.0)12915 (11199-14721)26.7 (23.1-30.4)0.0732 (-0.1382-0.2850)
Central Europe19903 (19067-20726)24.8 (23.7-25.8)31147 (28431-33614)28.4 (26.0-30.7)0.5564 (0.4848-0.6280)
Central Latin America10850 (10496-11190)23.3 (22.5-24.1)25392 (22150-28696)18.6 (16.2-21.0)-0.7594 (-0.8946--0.6241)
Central Sub-Saharan Africa4513 (3375-5930)32.9 (24.5-43.0)11394 (7726-16565)33.1 (22.2-48.2)-0.0141 (-0.0801-0.0520)
East Asia96145 (79016-115852)20.1 (16.6-24.1)134049 (105253-166568)12.1 (9.5-15.1)-1.9484 (-2.1384--1.7581)
Eastern Europe36926 (34799-38632)22.2 (20.8-23.2)56501 (50563-63297)30.2 (27.0-34.0)0.7648 (0.6266-0.9031)
Eastern Sub-Saharan Africa22374 (19071-27054)50.6 (43.5-60.6)50101 (40567-62046)47.3 (39.0-57.3)-0.3689 (-0.4480--0.2898)
High-income Asia Pacific15854 (14885-16541)14.4 (13.6-15.1)37837 (30494-42511)15.6 (13.6-16.9)-0.0364 (-0.3985-0.3269)
High-income North America51162 (48262-52774)27.4 (26.2-28.1)59381 (54152-62478)18.2 (17.0-19.1)-1.3833 (-1.5798--1.1864)
North Africa and Middle East13138 (11503-15420)14.1 (12.3-16.2)33743 (29408-38878)13.9 (12.1-15.8)0.0876 (0.0243-0.1508)
Oceania419 (311-549)24.2 (18.0-31.5)1207 (889-1627)27.5 (20.7-36.5)0.5602 (0.4940-0.6265)
South Asia396269 (344236-449100)122.3 (105.3-139.3)1054651 (907435-1219147)129.5 (112.1-149.5)0.0254 (-0.0913-0.1423)
Southeast Asia64130 (55030-74030)44.3 (37.9-50.6)135852 (113406-161805)38.6 (32.4-46.0)-0.7102 (-0.8217--0.5986)
Southern Latin America4621 (4374-4830)18.3 (17.3-19.1)7865 (7225-8415)16.8 (15.5-18.0)0.2112 (-0.0252-0.4481)
Southern Sub-Saharan Africa6201 (5133-7363)36.3 (29.8-43.3)14606 (12885-16769)41.0 (36.3-46.8)0.6459 (0.3588-0.9338)
Tropical Latin America13796 (13127-14392)27.1 (25.6-28.4)36671 (33848-38546)26.0 (24.0-27.3)-0.2974 (-0.4418--0.1528)
Western Europe64889 (61781-66697)22.0 (21.2-22.5)91803 (82282-97602)20.8 (19.2-21.8)-0.0522 (-0.1273-0.0228)
Western Sub-Saharan Africa11423 (8991-13685)24.2 (19.1-29.0)33098 (25282-42987)27.5 (21.6-35.0)0.4231 (0.3640-0.4823)
Male
Global393846 (379155-408550)19.4 (18.7-20.2)968572 (879563-1049185)23.1 (21.0-25.0)0.6198 (0.5648-0.6747)
High-middle SDI87635 (84122-91341)18.3 (17.6-19.1)191189 (171647-213834)20.9 (18.8-23.3)0.4278 (0.3390-0.5168)
High SDI183036 (177656-188375)37.8 (36.7-38.9)326167 (312705-339380)37.3 (35.8-38.8)0.0827 (0.0102-0.1554)
Low-middle SDI50319 (43099-57511)13.7 (11.7-15.6)157424 (128460-181418)19.9 (16.4-22.9)1.2015 (1.0773-1.3257)
Low SDI12616 (10278-14752)9.2 (7.5-10.8)36789 (28828-44267)12.0 (9.5-14.5)0.7405 (0.6040-0.8771)
Middle SDI59802 (55137-64875)9.9 (9.2-10.8)256142 (218360-292906)18.6 (15.9-21.2)2.1410 (2.0038-2.2784)
Andean Latin America361 (309-421)3.2 (2.7-3.8)1377 (1074-1738)4.6 (3.6-5.8)1.4741 (1.2825-1.6661)
Australasia5872 (5197-6576)53.9 (47.7-60.4)12754 (10966-14724)55.8 (47.8-64.3)0.1295 (-0.0086-0.2678)
Caribbean2148 (1983-2328)16.5 (15.2-17.9)4996 (4190-5847)19.4 (16.4-22.7)0.8384 (0.6923-0.9848)
Central Asia2313 (2151-2509)10.5 (9.7-11.4)3682 (3210-4189)9.0 (7.9-10.2)-0.3772 (-0.7234--0.0297)
Central Europe14912 (14116-15742)21.8 (20.6-23.0)30292 (27350-33137)33.5 (30.2-36.7)1.2858 (1.1054-1.4665)
Central Latin America2290 (2191-2391)5.1 (4.9-5.3)7601 (6616-8629)6.4 (5.5-7.2)0.4660 (0.3594-0.5727)
Central Sub-Saharan Africa575 (423-855)4.6 (3.4-6.7)1911 (1428-2531)5.9 (4.5-7.6)0.8111 (0.5499-1.0729)
East Asia27391 (23012-32267)5.5 (4.6-6.5)178396 (141151-224934)16.5 (13.1-20.7)4.0502 (3.8578-4.2428)
Eastern Europe22884 (21680-24987)19.8 (18.8-21.6)37248 (32467-42807)27.2 (23.8-31.2)0.8308 (0.6289-1.0332)
Eastern Sub-Saharan Africa3467 (2914-3992)7.8 (6.5-9.0)9953 (7486-12230)9.6 (7.4-11.8)0.6070 (0.4693-0.7449)
High-income Asia Pacific12843 (12294-13461)13.6 (13.0-14.2)36234 (32967-39522)21.2 (19.4-23.1)1.5211 (1.2095-1.8337)
High-income North America79815 (77451-81891)53.7 (52.1-55.1)129298 (123344-134767)45.0 (42.9-46.7)-0.4733 (-0.5573--0.3892)
North Africa and Middle East3092 (2641-3639)3.1 (2.6-3.6)13238 (11342-15160)4.9 (4.3-5.6)1.5289 (1.456-1.6018)
Oceania101 (70-132)5.2 (3.6-6.6)332 (241-428)6.7 (4.8-8.5)0.9430 (0.8365-1.0495)
South Asia75861 (66379-85548)20.7 (18.0-23.3)260373 (206422-305435)31.5 (25.1-36.8)1.3163 (1.1803-1.4526)
Southeast Asia14271 (12192-16274)10.1 (8.6-11.5)56456 (46903-66522)16.3 (13.6-19.1)1.5000 (1.4200-1.5801)
Southern Latin America3186 (2862-3534)14.6 (13.1-16.1)5142 (4487-5871)13.4 (11.7-15.2)-0.0895 (-0.3563-0.178)
Southern Sub-Saharan Africa2114 (1566-2601)15.1 (10.9-18.7)4540 (3819-5155)15.4 (13.1-17.3)-0.2424 (-0.3463--0.1384)
Tropical Latin America7204 (6818-7562)14.4 (13.6-15.2)22533 (21010-24318)18.2 (17.0-19.7)0.6784 (0.5758-0.7811)
Western Europe112221 (107084-117705)47.6 (45.4-49.9)149335 (138322-159354)41.0 (38.2-43.7)-0.4608 (-0.5468--0.3746)
Western Sub-Saharan Africa914 (717-1114)1.7 (1.3-2.1)2871 (2140-3617)2.4 (1.8-3.0)1.0508 (0.8960-1.2059)

Changes in lip and oral cavity cancer Prevalence by regions and sexes.

Table 4

Locations1990 Number
(95% UI, cases)
1990 Age-standardized rate (95% UI, per 100,000)2021 Number
(95% UI, cases)
2021 Age-standardized rate (95% UI, per 100,000)Estimated annual percentage change (95% CI, 100%)
Both sexes
Global2936205 (2793741-3092058)69.3 (65.9-73.0)5874069 (5326986-6347557)67.7 (61.3-73.2)-0.1650 (-0.2178--0.1121)
High-middle SDI574936 (552159-599598)55.7 (53.7-58.1)834847 (764565-906224)43.3 (39.7-47.0)-1.0146 (-1.0917--0.9375)
High SDI567133 (549836-582623)54.1 (52.5-55.6)739298 (698770-772933)40.0 (38.2-41.7)-0.9743 (-1.0132--0.9353)
Low-middle SDI846886 (759575-940604)119.9 (107.2-133.0)2041323 (1773549-2273768)128.4 (112.7-142.3)0.1680 (0.1205-0.2155)
Low SDI231414 (200547-263401)87.8 (76.4-100.0)542181 (458550-628171)90.5 (77.3-104.0)-0.0701 (-0.1498-0.0097)
Middle SDI712596 (666093-761404)61.0 (57.0-65.1)1711811 (1539968-1877702)61.1 (55.1-67.0)-0.0680 (-0.1171--0.0190)
Andean Latin America5839 (5065-6626)25.9 (22.4-29.4)13748 (10902-16887)22.5 (17.927.7)-0.4093 (-0.5524--0.2660)
Australasia11122 (10354-11990)48.7 (45.3-52.5)16714 (15055-18427)34.2 (31.1-37.6)-1.1051 (-1.3580--0.8516)
Caribbean17267 (16040-18899)64.9 (60.3-70.9)30477 (26005-35574)56.6 (48.3-66.0)-0.2204 (-0.3353--0.1053)
Central Asia27173 (25372-29367)53.5 (49.8-57.8)38199 (33257-43855)42.3 (36.9-48.3)-0.8158 (-0.9764--0.6550)
Central Europe122195 (116995-127869)83.1 (79.6-86.8)158444 (145874-170984)82.6 (76.0-89.2)-0.1461 (-0.2595--0.0326)
Central Latin America28302 (27434-29080)31.5 (30.4-32.4)64214 (57048-72384)25.1 (22.3-28.3)-0.8990 (-1.0084--0.7895)
Central Sub-Saharan Africa11519 (8890-15029)44.4 (34.8-57.1)30186 (22815-39392)45.7 (34.7-58.8)0.0779 (-0.0296-0.1856)
East Asia315772 (267868-362039)33.0 (28.1-37.7)697683 (563154-853797)31.9 (25.8-38.8)0.0126 (-0.1046-0.1300)
Eastern Europe218629 (210259-232556)78.5 (75.6-83.7)262247 (236250-289742)81.7 (73.5-90.4)-0.3580 (-0.5575--0.1582)
Eastern Sub-Saharan Africa63267 (55142-72792)72.6 (63.7-83.2)143023 (112392-174329)69.7 (56.0-84.1)-0.2614 (-0.3148--0.2080)
High-income Asia Pacific53404 (51574-55281)26.2 (25.3-27.2)108024 (96340-116039)26.8 (24.6-28.5)-0.2683 (-0.6213-0.0861)
High-income North America176202 (170277-181404)53.8 (52.1-55.3)208746 (198194-218647)34.2 (32.6-35.8)-1.4237 (-1.5936--1.2536)
North Africa and Middle East36036 (31673-41787)19.0 (16.7-21.7)89539 (78518-102823)17.7 (15.6-20.2)-0.2081 (-0.2384--0.1778)
Oceania1348 (957-1753)37.5 (27.1-47.9)4005 (2875-5239)43.3 (31.4-55.9)0.6615 (0.5762-0.7469)
South Asia1185409 (1073536-1311139)174.5 (156.9-193.0)2964855 (2541835-3330175)182.3 (157.1-203.7)0.0277 (-0.0383-0.0936)
Southeast Asia178289 (154260-200931)63.4 (55.1-71.0)422230 (365827-481879)61.0 (52.9-69.5)-0.2512 (-0.3001--0.2023)
Southern Latin America21908 (20020-23803)46.9 (42.9-50.9)26651 (24190-29219)31.8 (28.8-34.8)-0.9688 (-1.2010--0.7360)
Southern Sub-Saharan Africa24312 (18793-28939)79.7 (60.9-95.3)49628 (43455-55690)76.4 (67.3-85.4)-0.2904 (-0.5237--0.0566)
Tropical Latin America69446 (66329-72825)68.8 (65.5-72.2)157920 (148726-167280)59.9 (56.3-63.4)-0.5232 (-0.6517--0.3946)
Western Europe346859 (333307-359027)67.8 (65.3-70.1)326627 (304681-344003)41.5(39.1-43.5)-1.6138 (-1.6700--1.5576)
Western Sub-Saharan Africa21898 (17650-25674)22.2 (18.0-25.9)60898. (46881-74961)25.9 (20.5-31.4)0.4910 (0.4302-0.5519)
Female
Global870961 (803991-939990)39.6 (36.5-42.7)1904257 (1730273-2088526)42.6 (38.6-46.8)0.1010 (0.0111-0.1910)
High-middle SDI123436 (115145-132211)22.3 (20.8-23.9)206999 (188577-223727)20.3 (18.5-22.0)-0.4500 (-0.5255--0.3744)
High SDI142779 (135284-147269)24.2 (23.0-24.9)214391 (191581-228823)20.9 (19.3-22.1)-0.4516 (-0.5138--0.3895)
Low-middle SDI307856 (271222-348678)88.1 (76.8-100.1)795539 (689891-916633)97.9 (85.2-112.1)0.2451 (0.1589-0.3314)
Low SDI87151 (72756-101815)66.9 (56.1-77.9)213022 (180430-249562)70.1 (60.0-82.0)-0.0451 (-0.1539-0.0638)
Middle SDI209045 (192476-226234)36.0 (33.1-38.8)473157 (420157-524951)33.2 (29.6-36.8)-0.4605 (-0.5659--0.3549)
Andean Latin America2588 (2260-2937)22.3 (19.4-25.3)6728 (5336-8412)21.3 (16.9-26.6)-0.2346 (-0.3950--0.0739)
Australasia3177 (2949-3366)25.7 (23.9-27.2)5203 (4593-5741)19.7 (17.8-21.6)-0.7636 (-1.0456--0.4808)
Caribbean4781 (4478-5141)34.6 (32.4-37.1)7673 (6679-8906)27.2 (23.6-31.6)-0.6022 (-0.7215--0.4829)
Central Asia7426 (6888-8102)26.2 (24.3-28.7)13232 (11450-15070)27.3 (23.7-31.1)0.0894 (-0.1241-0.3033)
Central Europe20429 (19559-21296)25.4 (24.3-26.5)32397 (29701-34903)29.5 (27.-31.8)0.5971 (0.5256-0.6687)
Central Latin America11075 (10703-11396)23.8 (22.9-24.6)26162 (22924-29589)19.1 (16.8-21.6)-0.7310 (-0.8658--0.5961)
Central Sub-Saharan Africa4577 (3422-6022)33.4 (24.9-43.7)11585 (7862-16881)33.7 (22.6-49.0)-0.0070 (-0.0743-0.0604)
East Asia98226 (80451-118410)20.5 (16.9-24.6)140871 (110107-175966)12.8 (10.0-15.9)-1.8521 (-2.0437--1.6601)
Eastern Europe38036 (35839-39830)22.8 (21.4-23.9)58926 (52550-65875)31.5 (28.0-35.3)0.8105 (0.6702-0.9509)
Eastern Sub-Saharan Africa22696 (19342-27439)51.3(44.1-61.4)50962 (41238-62955)48.1 (39.6-58.2)-0.3610 (-0.4408--0.2812)
High-income Asia Pacific16706 (15707-17482)15.2 (14.3-15.9)40420 (32648-45492)16.7 (14.7-18.2)0.0532 (-0.3040-0.4116)
High-income North America55050 (51826-57234)29.4 (28.0-30.5)65261 (59614-69022)20.0 (18.6-21.1)-1.3102 (-1.4983--1.1217)
North Africa and Middle East13406 (11742-15698)14.4 (12.6-16.6)34866 (30475-40228)14.3 (12.5-16.4)0.1287 (0.0643-0.1932)
Oceania427 (316-560)24.7 (18.4-32.2)1232 (909-1657)28.0 (21.1-37.1)0.5601 (0.4935-0.6268)
South Asia402040 (348796-455621)124.2 (106.9-140.9)1075186 (924959-1242527)132.0 (114.2-152.3)0.0402 (-0.0770-0.1576)
Southeast Asia65569 (56025-75728)45.3 (38.7-51.9)140137 (117294-166986)39.8 (33.4-47.4)-0.6828 (-0.7931--0.5725)
Southern Latin America4741 (4481-4967)18.7 (17.7-19.6)8162 (7516-8728)17.4 (16.2-18.6)0.2468 (0.0104-0.4837)
Southern Sub-Saharan Africa6317 (5249-7512)37.0 (30.5-44.2)14911 (13148-17131)41.8 (37.0-47.8)0.6515 (0.3666-0.9371)
Tropical Latin America14080 (13388-14689)27.7 (26.1-29.0)37707 (34750-39638)26.7 (24.7-28.1)-0.2747 (-0.4181--0.1311)
Western Europe68007 (64546-70339)23.0 (22.1-23.7)98948 (88447-105655)22.5 (20.8-23.7)0.0527 (-0.0235-0.1290)
Western Sub-Saharan Africa11597 (9133-13887)24.6 (19.4-29.4)33680 (25776-43812)28.0 (22.1-35.7)0.4313 (0.3726-0.4900)
Male
Global66990 (62782-71608)3.6 (3.4-3.9)136890 (120655-149372)3.4 (3.0-3.7)-0.2789 (-0.3244--0.2334)
High-middle SDI451499 (432553-473004)94.5(90.5-98.9)627847 (561697-694420)68.6 (61.4-75.8)-1.2245 (-1.3029--1.1460)
High SDI424353 (411242-436619)88.4 (85.6-90.9)524906 (501600-549228)60.3 (57.6-63.0)-1.2373 (-1.2729--1.2017)
Low-middle SDI539029 (462781-617695)150.5 (128.7-172.3)1245784 (1010032-1435569)160.6 (131.8-184.1)0.1783 (0.1489-0.2076)
Low SDI144263 (119651-169530)108.0 (89.5-127.2)329159 (262644-392946)111.5 (89.8-132.6)-0.0490 (-0.1134-0.0154)
Middle SDI503550 (461761-550025)86.4 (79.5-94.2)1238654 (1059945-1380995)90.7 (77.9-101.2)0.1396 (0.0968-0.1824)
Andean Latin America113 (96-133)1.2 (1.0-1.4)266 (211-334)1.0 (0.8-1.2)-0.4436 (-0.5954--0.2915)
Australasia284 (257-313)2.7 (2.5-3.0)468 (408-529)1.9 (1.7-2.1)-1.1781 (-1.4448--0.9107)
Caribbean473 (437-518)3.9 (3.6-4.2)866 (737-1007)3.4 (2.9-4.0)-0.1469 (-0.2787--0.0149)
Central Asia625 (582-683)3.2 (3.0-3.5)827 (722-952)2.3 (2.0-2.6)-1.0245 (-1.2088--0.8399)
Central Europe3277 (3119-3450)5.1 (4.8-5.3)4515 (4144-4895)4.9 (4.5-5.4)-0.1864 (-0.2846--0.0881)
Central Latin America628 (602-653)1.6 (1.6-1.7)1469 (1286-1657)1.3 (1.1-1.5)-0.9860 (-1.099--0.8729)
Central Sub-Saharan Africa220 (162-322)2.1 (1.6-3.0)572 (429-749)2.3 (1.8-2.9)0.2063 (0.0856-0.3272)
East Asia7135 (5907-8495)1.8 (1.5-2.1)20770 (16201-26057)2.1 (1.6-2.6)0.7324 (0.5876-0.8775)
Eastern Europe5649 (5405-6018)5.3 (5.1-5.7)6670 (5872-7520)4.8 (4.3-5.5)-0.7124 (-0.9048--0.5197)
Eastern Sub-Saharan Africa1302 (1103-1522)3.5 (2.9-4.0)2869 (2234-3500)3.5 (2.8-4.2)-0.0706 (-0.1045--0.0366)
High-income Asia Pacific1285 (1241-1327)1.5 (1.4-1.5)3246 (2971-3434)1.6 (1.4-1.6)-0.2271 (-0.5713-0.1183)
High-income North America4423 (4283-4542)3.0 (2.9-3.1)5844 (5475-6103)2.0 (1.8-2.1)-1.3253 (-1.5100--1.1404)
North Africa and Middle East748 (625-881)0.9 (0.8-1.1)1855 (1612-2123)0.8 (0.7-0.9)-0.3956 (-0.4495--0.3417)
Oceania27 (19-36)1.8 (1.2-2.3)82 (58-108)2.0 (1.5-2.7)0.6716 (0.5714-0.7719)
South Asia24271 (21049-27547)7.8 (6.7-8.9)60952 (49383-70777)8.3 (6.7-9.5)0.0639 (0.0022-0.1255)
Southeast Asia3702 (3167-4226)3.2 (2.7-3.6)9632 (8243-11109)3.2 (2.8-3.7)0.0123 (-0.0128-0.0374)
Southern Latin America591 (528-661)2.9 (2.6-3.2)691 (609-782)1.8 (1.6-2.0)-1.1603 (-1.3943--0.9256)
Southern Sub-Saharan Africa560 (405-694)4.6 (3.3-5.7)1086 (930-1218)4.3 (3.7-4.8)-0.5300 (-0.776--0.2834)
Tropical Latin America1771 (1675-1867)4.1 (3.8-4.3)4143 (3858-4452)3.5 (3.3-3.8)-0.4345 (-0.5494--0.3195)
Western Europe9570 (9164-9940)4.1 (3.9-4.2)9230 (8525-9803)2.3 (2.1-2.4)-1.8678 (-1.9557--1.7799)
Western Sub-Saharan Africa325 (257-396)0.7 (0.6-0.9)828 (642-1033)0.8 (0.7-1.0)0.4618 (0.3889-0.5348)

Changes in lip and oral cavity cancer DALYs by regions and sexes.

Table 5

Locations1990 Number
(95% UI, cases)
1990 Age-standardized rate (95% UI, per 100,000)2021 Number
(95% UI, cases)
2021 Age-standardized rate (95% UI, per 100,000)Estimated annual percentage change (95% CI, 100%)
Both sexes
Global2871519 (2733328-3026295)67.7 (64.4-71.3)5713196 (5183525-6171742)65.9 (59.7-71.2)-0.1832 (-0.2361--0.1302)
High-middle SDI561447 (539389-585862)54.4 (52.3-56.8)804832 (738906-874361)41.8 (38.3-45.3)-1.0591 (-1.1369--0.9811)
High SDI541955 (526962-553673)51.8 (50.3-52.9)693410 (656939-723548)37.6 (36.0-39.1)-1.0385 (-1.0781--0.9988)
Low-middle SDI835581 (749392-929025)118.2 (105.9-131.3)2007285 (1746697-2238461)126.2 (111.0-140.1)0.1577 (0.1105-0.2048)
Low SDI228405 (197877-260046)86.6 (75.4-98.5)533868 (451292-619265)89.1 (76.0-102.3)-0.0778 (-0.1575-0.0019)
Middle SDI700957 (655320-747947)60.0 (56.0-64.0)1669323 (1502850-1830781)59.6 (53.7-65.3)-0.0960 (-0.1437--0.0482)
Andean Latin America5742 (4973-6524)25.4 (22.0-28.9)13390 (10588-16439)22.0 (17.4-26.9)-0.4410 (-0.5831--0.2987)
Australasia10356 (9674-11065)45.4 (42.4-48.5)15063 (13630-16529)30.8 (28.0-33.8)-1.214 (-1.4747--0.9527)
Caribbean16889 (15691-18442)63.5 (59.0-69.2)29691 (25404-34636)55.1 (47.2-64.3)-0.2334 (-0.3486--0.1181)
Central Asia26728 (25022-28953)52.6 (49.0-56.9)37426 (32549-42919)41.4 (36.1-47.3)-0.8312 (-0.9899--0.6723)
Central Europe119896 (114789-125465)81.6 (78.1-85.2)153996.9393 (141726.3-166548.6)80.4 (73.9-87.0)-0.1752 (-0.2890--0.0613)
Central Latin America27773 (26934-28544)30.9 (29.9-31.8)62534 (55474-70281)24.5 (21.7-27.5)-0.9226 (-1.0322--0.8129)
Central Sub-Saharan Africa11365 (8773-14853)43.7 (34.3-56.4)29735 (22464-38796)44.9 (34.1-57.8)0.0723 (-0.0341-0.1789)
East Asia310076 (263236-355895)32.3 (27.6-36.9)671860 (545021-826267)30.7 (25.0-37.6)-0.0524 (-0.1684-0.0637)
Eastern Europe214353 (206458-227104)77.7 (74.2-81.7)254977 (229147-281922)79.4 (71.4-87.7)-0.3891 (-0.5900--0.1878)
Eastern Sub-Saharan Africa62428 (54364-71641)71.6 (62.7-81.9)140859 (110404-171902)68.6 (55.0-82.9)-0.2676 (-0.3205--0.2146)
High-income Asia Pacific51129 (49542-52724)25.1 (24.3-25.9)101422 (90072-109007)25.1 (23.2-26.7)-0.3531 (-0.7107-0.0059)
High-income North America165135 (160216-168807)50.5 (49.1-51.5)191630 (181247-198978)31.4 (30.0-32.6)-1.4922 (-1.6690--1.3152)
North Africa and Middle East35373 (31070-40913)18.7 (16.4-21.3)86975 (76178-99608)17.2 (15.1-19.6)-0.2432 (-0.2734--0.2130)
Oceania1326 (941-1722)36.9 (26.7-47.1)3938 (2827-5161)42.5 (30.9-55.0)0.6608 (0.5756-0.7460)
South Asia1169596 (1058465-1292454)172.1 (154.7-190.7)2913399 (2493288-3275522)179.1 (154.1-200.3)0.0152 (-0.0501-0.0806)
Southeast Asia175044 (151362-197602)62.2 (54.0-69.8)411679 (356094-470571)59.4 (51.6-67.7)-0.2727 (-0.3221--0.2233)
Southern Latin America21408 (19584-23345)45.9 (42.0-49.9)25787 (23468-28210)30.7 (28.0-33.6)-0.9987 (-1.2316--0.7652)
Southern Sub-Saharan Africa23926 (18500-28431)78.4 (60.0-93.8)48750 (42680-54547)75.0 (66.0-83.8)-0.2968 (-0.5323--0.0608)
Tropical Latin America68268 (65125-71560)67.6 (64.3-70.9)154326 (145322-163365)58.5 (55.0-61.9)-0.5410 (-0.6705--0.4113)
Western Europe333109 (321050-343632)65.3 (62.9-67.2)305822 (286439-321093)38.9 (36.8-40.7)-1.7016 (-1.7595--1.6437)
Western Sub-Saharan Africa21588 (17400-25352)21.8 (17.7-25.6)59926 (46200-73546)25.5 (20.2-30.8)0.4846 (0.4236-0.5455)
Female
Global850043 (783392-917046)38.6 (35.6-41.7)1846853 (1681594-2028079)41.3 (37.6-45.4)0.0802 (-0.0104-0.1709)
High-middle SDI119984 (112275-129049)21.7 (20.3-23.3)197409 (179757-213284)19.4 (17.7-20.9)-0.5168 (-0.5923--0.4412)
High SDI134989 (127968-138741)22.9 (21.9-23.4)198695 (177901-211359)19.4 (17.9-20.4)-0.5292 (-0.5935--0.4649)
Low-middle SDI303425 (267186-343458)86.8 (75.8-98.4)780947 (678258-899360)96.1 (83.7-109.9)0.2330 (0.1468-0.3192)
Low SDI85939 (71743-100350)65.9 (55.2-76.8)209454 (177431-245607)68.9 (58.9-80.5)-0.0544 (-0.1632-0.0544)
Middle SDI205030 (189232-222063)35.3 (32.5-38.1)459239 (408646-510473)32.2 (28.7-35.8)-0.4936 (-0.5980--0.389)
Andean Latin America2542 (2217-2889)21.9 (19.0-24.8)6535 (5189-8182)20.6 (16.4-25.8)-0.2715 (-0.4313--0.1115)
Australasia2938 (2730-3108)23.8 (22.1-25.2)4647 (4067-5090)17.6 (15.8-19.2)-0.8876 (-1.1778--0.5966)
Caribbean4664 (4367-5012)33.7 (31.8-36.2)7448 (6474-8626)26.4 (22.8-30.6)-0.6179 (-0.7371--0.4985)
Central Asia7278 (6745-7932)25.7 (23.8-28.0)12915 (11199-14721)26.7 (23.1-30.4)0.0732 (-0.1382-0.2850)
Central Europe19903 (19067-20726)24.8 (23.7-25.8)31147 (28431-33614)28.4 (26.0-30.7)0.5564 (0.4848-0.6280)
Central Latin America10850 (10496-11190)23.3 (22.5-24.1)25392 (22150-28696)18.6 (16.2-21.0)-0.7594 (-0.8946--0.6241)
Central Sub-Saharan Africa4513 (3375-5930)32.9 (24.5-43.0)11394 (7726-16565)33.1 (22.2-48.2)-0.0141 (-0.0801-0.0520)
East Asia96145 (79016-115852)20.1 (16.6-24.1)134049 (105253-166568)12.1 (9.5-15.1)-1.9484 (-2.1384--1.7581)
Eastern Europe36926 (34799-38632)22.2 (20.8-23.2)56501 (50563-63297)30.2 (27.0-34.0)0.7648 (0.6266-0.9031)
Eastern Sub-Saharan Africa22374 (19071-27054)50.6 (43.5-60.6)50101 (40567-62046)47.3 (39.0-57.3)-0.3689 (-0.448--0.2898)
High-income Asia Pacific850043 (783392-917046)38.6 (35.6-41.7)1846853 (1681594-2028079)41.3 (37.6-45.4)0.0802 (-0.0104-0.1709)
High-income North America15854 (14885-16541)14.4 (13.6-15.1)37837 (30494-42511)15.6 (13.6-16.9)-0.0364 (-0.3985-0.3269)
North Africa and Middle East51162 (48262-52774)27.4 (26.2-28.1)59381 (54152-62478)18.2 (17.0-19.1)-1.3833 (-1.5798--1.1864)
Oceania13138 (11503-15420)14.1 (12.3-16.2)33743 (29408-38878)13.9 (12.1-15.8)0.0876 (0.0243-0.1508)
South Asia419 (311-549)24.2 (18.0-31.5)1207 (889-1627)27.5 (20.7-36.5)0.5602 (0.4940-0.6265)
Southeast Asia396269 (344236-449100)122.4 (105.3-139.3)1054651 (907435-1219147)129.5 (112.1-149.5)0.0254 (-0.0913-0.1423)
Southern Latin America64130 (55030-74030)44.3 (37.9-50.6)135852 (113406-161805)38.6 (32.4-46.0)-0.7102 (-0.8217--0.5986)
Southern Sub-Saharan Africa4621 (4374-4830)18.3 (17.3-19.1)7865 (7225-8415)16.8 (15.5-18.0)0.2112 (-0.0252-0.4481)
Tropical Latin America6201 (5133-7363)36.3 (29.8-43.3)14606 (12885-16769)41.0 (36.3-46.8)0.6459 (0.3588-0.9338)
Western Europe13796 (13127-14392)27.1 (25.6-28.4)36671 (33848-38546)26.0 (24.0-27.3)-0.2974 (-0.4418--0.1528)
Western Sub-Saharan Africa64889 (61781-66697)22.0 (21.2-22.5)91803 (82282-97602)20.8 (19.2-21.8)-0.0522 (-0.1273-0.0228)
Male
Global2021476 (1890182-2164947)99.18230972 (92.7-106.0)3866342 (3359573-4249613)92.1 (80.1-101.1)-0.3118 (-0.352--0.2716)
High-middle SDI441463 (422991-462502)92.4 (88.5-96.6)607422 (544621-672649)66.3 (59.5-73.4)-1.2608 (-1.3401--1.1814)
High SDI406966 (395136-417536)84.8 (82.2-87.0)494715 (473677-515990)56.9 (54.5-59.3)-1.2944 (-1.3305--1.2583)
Low-middle SDI532156 (456088-609659)148.5 (127.0-170.1)1226338 (996720-1411527)158.0 (129.9-181.3)0.1693 (0.1405-0.1982)
Low SDI142465 (118094-167504)106.6 (88.4-125.6)324414 (258682-387374)109.8 (88.4-130.7)-0.0556 (-0.1199-0.0088)
Middle SDI495927 (454970-541872)85.0 (78.2-92.7)1210083 (1034867-1349833)88.6 (76.0-98.8)0.1131 (0.0713-0.1548)
Andean Latin America3200 (2728-3753)29.1 (24.5-34.3)6854 (5399-8506)23.3 (18.4-29.1)-0.5879 (-0.7400--0.4355)
Australasia7418 (6700-8149)68.9 (62.6-75.5)10416 (9125-11826)44.9 (39.5-50.8)-1.3601 (-1.6152--1.1042)
Caribbean12225 (11173-13598)95.0 (87.0-105.4)22243 (18833-26309)86.6 (73.4-102.2)-0.0737 (-0.2079-0.0606)
Central Asia19449 (18098-21006)87.9 (81.8-95.8)24511 (21343-28361)59.6 (52.0-68.8)-1.2718 (-1.4308--1.1124)
Central Europe99992 (95232-105268)147.1 (140.2-154.7)122849 (112686-133423)137.9 (126.4-149.9)-0.3801 (-0.5197--0.2403)
Central Latin America16922 (16260-17568)38.9 (37.3-40.4)37141 (32335-42096)31.3 (27.2-35.4)-0.9819 (-1.1005--0.8633)
Central Sub-Saharan Africa6852 (5015-10184)56.0 (41.3-81.5)18340 (13582-24308)58.6 (44.4-76.1)0.1199 (-0.0031-0.2430)
East Asia213931 (176567-255648)45.2 (37.5-53.7)537810 (418440-678690)50.4 (39.6-63.2)0.6045 (0.4634-0.7458)
Eastern Europe177426 (169726-190212)154.9 (148.4-165.8)198475 (174246-224154)143.5 (126.1-161.8)-0.7113 (-0.9161--0.506)
Eastern Sub-Saharan Africa40054 (33862-46904)92.8 (78.6-108.0)90757 (69153-112318)91.8 (71.2-112.0)-0.149 (-0.1879--0.1100)
High-income Asia Pacific35275 (34249-36520)37.7 (36.5-39.0)63585 (59033-67230)35.3 (32.8-37.5)-0.5945 (-0.949--0.2386)
High-income North America113973 (111048-116708)77.7 (75.7-79.5)132249 (126103-137395)46.2 (44.2-48.0)-1.6012 (-1.7812--1.4208)
North Africa and Middle East22234 (18732-26422)23.0 (19.3-27.2)53231 (46117-61103)20.4 (17.7-23.4)-0.4565 (-0.4997--0.4133)
Oceania907 (622-1217)48.6 (33.7-64.0)2731 (1905-3605)56.5 (39.7-74.0)0.7029 (0.6069-0.7991)
South Asia773326 (672874-876143)216.9 (188.3-245.7)1858748 (1483108-2166194)229.3 (184.5-266.7)0.0903 (0.0499-0.1307)
Southeast Asia110914 (94809-126783)81.8 (7.0-93.7)275827 (233449-318325)82.0 (69.8-94.3)-0.0379 (-0.0594--0.0163)
Southern Latin America16787 (14985-18722)77.6 (69.3-86.4)17921 (15649-20224)46.6 (40.8-52.6)-1.4110 (-1.6583--1.1632)
Southern Sub-Saharan Africa17725 (13084-21874)129.8 (94.3-160.6)34143 (28807-38729)118.2 (100.8-133.0)-0.5918 (-0.8527--0.3301)
Tropical Latin America54472 (51795-57463)111.9 (105.9-118.0)117654 (109572-126187)95.7 (89.2-102.6)-0.5513 (-0.6904--0.4121)
Western Europe268219 (256502-278708)114.2 (109.3-118.8)214018 (200137-227173)58.2 (54.6-61.7)-2.2452 (-2.3112--2.1791)
Western Sub-Saharan Africa10165 (8026-12399)19.4 (15.4-23.7)26828 (20207-34029)23.1 (17.8-28.9)0.5209 (0.4409-0.6009)

Changes in lip and oral cavity cancer YLLs by regions and sexes.

Table 6

Locations1990 Number
(95% UI, cases)
1990 Age-standardized rate (95% UI, per 100,000)2021 Number
(95% UI, cases)
2021 Age-standardized rate (95% UI, per 100,000)Estimated annual percentage change (95% CI, 100%)
Both sexes
Global64685 (47399-83186)1.6 (1.1-2.0)160873 (118043-210399)1.9 (1.4-2.4)0.5507 (0.4933-0.6081)
High-middle SDI13488 (9811-17519)1.3 (1.0-1.7)30015 (21934-39119)1.5 (1.1-2.0)0.4801 (0.3928-0.5675)
High SDI25177 (18804-32767)2.4 (1.8-3.1)45887 (34195-59876)2.4 (1.8-3.2)0.1937 (0.1324-0.2551)
Low-middle SDI11304 (8374-14840)1.7 (1.2-2.2)34038 (24696-45279)2.2 (1.6-2.9)0.8412 (0.7418-0.9407)
Low SDI3008 (2159-3943)1.2 (0.9-1.6)8312 (6030-11290)1.4 (1.0-1.9)0.4584 (0.3437-0.5732)
Middle SDI11638 (8433-15167)1.0 (0.7-1.3)42487 (30295-56024)1.5 (1.1-2.0)1.2793 (1.1687-1.3899)
Andean Latin America96 (67-125)0.4 (0.3-0.6)358 (237-506)0.6 (0.4-0.8)1.0618 (0.8929-1.2309)
Australasia765 (552-1035)3.3 (2.4-4.5)1650 (1165-2169)3.4 (2.4-4.5)0.0754 (-0.0909-0.2420)
Caribbean378 (279-493)1.4 (1.1-1.9)785 (566-1029)1.5 (1.1-1.9)0.3131 (0.2045-0.4218)
Central Asia444 (321-577)0.9 (0.6-1.2)772 (549-1039)0.9 (0.6-1.2)0.0051 (-0.2696-0.2805)
Central Europe2299 (1670-2999)1.6 (1.1-2.0)4447 (3262-5844)2.2 (1.6-2.9)1.1166 (0.9997-1.2337)
Central Latin America529 (385-694)0.6 (0.4-0.9)1680 (1196-2272)0.7 (0.5-0.9)0.1153 (0.0194-0.2112)
Central Sub-Saharan Africa153 (104-216)0.6 (0.4-0.9)451 (303-656)0.7 (0.5-1.1)0.4503 (0.2655-0.6355)
East Asia5695 (3950-7685)0.6 (0.4-0.8)25823 (17762-34761)1.2 (0.8-1.6)2.4282 (2.2812-2.5755)
Eastern Europe4275 (3092-5539)1.5 (1.1-2.0)7270 (5304-9484)2.3 (1.6-3.0)0.9698 (0.7618-1.1783)
Eastern Sub-Saharan Africa838 (598-1125)1.0 (0.7-1.4)2164 (1526-2993)1.1 (0.8-1.5)0.1533 (0.0514-0.2553)
High-income Asia Pacific2275 (1675-2977)1.1 (0.8-1.5)6601 (4785-8670)1.7 (1.2-2.2)1.3111 (1.008-1.6152)
High-income North America11067 (8299-14552)3.3 (2.5-4.7)17116 (12825-22545)2.8 (2.1-3.7)-0.5433 (-0.6226--0.464)
North Africa and Middle East662 (479-899)0.4 (0.3-0.5)2564 (1851-3502)0.5 (0.4-0.7)1.2400 (1.1677-1.3124)
Oceania21 (14-31)0.6 (0.4-0.9)66 (44-97)0.8 (0.5-1.1)0.7034 (0.6023-0.8045)
South Asia15812 (11498-20715)2.4 (1.7-3.1)51455 (36749-67858)3.2 (2.3-4.2)0.8283 (0.6997-0.9570)
Southeast Asia3244 (2322-4331)1.2 (0.7-1.6)10550 (7625-14134)1.5 (1.1-2.1)0.7181 (0.656-0.7802)
Southern Latin America499 (353-663)1.1 (0.8-1.4)864 (616-1164)1.0 (0.7-1.3)0.1042 (-0.1187-0.3276)
Southern Sub-Saharan Africa386 (262-533)1.3 (0.9-1.8)877 (634-1164)1.4 (1.0-1.8)0.0851 (-0.0221-0.1924)
Tropical Latin America1177 (862-1521)1.2 (0.9-1.5)3594 (2608-4715)1.4 (1.0-1.8)0.3554 (0.2639-0.4470)
Western Europe13750 (10161-17969)2.6 (2.0-3.5)20804 (15171-27077)2.6 (1.9-3.4)0.0347 (-0.0451-0.1145)
Western Sub-Saharan Africa310 (222-421)0.3 (0.2-0.4)971 (679-1363)0.4 (0.3-0.6)0.9009 (0.8225-0.9793)
Female
Global20918 (15331-27162)1.0 (0.7-1.2)57404 (42494-75994)1.3 (0.9-1.7)0.8532 (0.7828-0.9236)
High-middle SDI3451 (2490-4610)0.6 (0.4-0.8)9590 (6970-12721)0.9 (0.8-1.2)1.3445 (1.2666-1.4225)
High SDI7790 (5764-10292)1.3 (0.9-1.7)15696 (11636-20912)1.5 (1.1-2.1)0.6858 (0.6129-0.7588)
Low-middle SDI4431 (3116-5779)1.3 (0.9-1.7)14591 (10387-19621)1.8 (1.3-2.4)0.9786 (0.8613-1.0960)
Low SDI1211 (838-1637)1.0 (0.7-1.3)3567 (2562-4870)1.2 (0.9-1.6)0.5484 (0.4155-0.6814)
Middle SDI4014 (2887-5276)0.7 (0.5-0.9)13917 (9944-18535)1.0 (0.7-1.3)0.8959 (0.7613-1.0307)
Andean Latin America45 (33-60)0.4 (0.3-0.5)192 (130-270)0.6 (0.4-0.9)1.3518 (1.1792-1.5247)
Australasia239 (170-323)1.9 (1.4-2.6)556 (393-753)2.1 (1.5-2.9)0.4530 (0.2501-0.6563)
Caribbean117 (86-152)0.8 (0.6-1.1)224 (157-307)0.8 (0.6-1.1)-0.0349 (-0.1651-0.0956)
Central Asia147 (104-194)0.5 (0.4-0.7)316 (218-439)0.7 (0.5-0.9)0.8189 (0.4924-1.1465)
Central Europe526 (385-699)0.6 (0.5-0.9)1250 (928-1652)1.1 (0.8-1.5)1.8697 (1.7867-1.9528)
Central Latin America224 (166-292)0.5 (0.4-0.6)769 (549-1048)0.6 (0.4-0.8)0.3752 (0.2618-0.4887)
Central Sub-Saharan Africa64 (43-93)0.5 (0.3-0.7)191 (115-307)0.6 (0.3-0.9)0.4323 (0.2820-0.5829)
East Asia2081 (1446-2803)0.4 (0.3-0.6)6821 (4507-9544)0.6 (0.4-0.9)1.0169 (0.8483-1.1859)
Eastern Europe1109 (797-1471)0.7 (0.5-0.9)2424 (1760-3284)1.3 (0.9-1.7)2.1236 (1.8549-2.3930)
Eastern Sub-Saharan Africa322 (224-437)0.8 (0.5-1.0)861 (603-1198)0.8 (0.6-1.1)0.1284 (-0.0047-0.2615)
High-income Asia Pacific852 (618-1126)0.8 (0.6-1.0)2583 (1843-3499)1.2 (0.8-1.6)1.4833 (1.1693-1.7983)
High-income North America3888 (2880-5118)2.0 (1.5-2.7)5880 (4399-7760)1.8 (1.3-2.4)-0.4753 (-0.5674--0.3832)
North Africa and Middle East267 (189-363)0.3 (0.2-0.4)1122 (804-1583)0.5 (0.3-0.7)1.6728 (1.5645-1.7812)
Oceania8 (5-12)0.5 (0.3-0.7)24 (16-35)0.6 (0.4-0.8)0.5553 (0.4520-0.6587)
South Asia5770 (4100-7533)1.8 (1.3-2.4)20535 (14811-27535)2.5 (1.8-3.4)0.9211 (0.7554-1.0871)
Southeast Asia1439 (1030-1892)1.0 (0.7-1.3)4284 (3046-5696)1.2 (0.9-1.6)0.3454 (0.2535-0.4375)
Southern Latin America120 (83-158)0.5 (0.3-0.6)296 (213-395)0.6 (0.5-0.8)1.3881 (1.1322-1.6447)
Southern Sub-Saharan Africa115 (81-161)0.7 (0.5-1.0)304 (220-403)0.9 (0.6-1.1)0.9308 (0.7521-1.1099)
Tropical Latin America283 (206-373)0.6 (0.4-0.7)1035 (747-1361)0.7 (0.5-1.0)0.662 (0.5437-0.7804)
Western Europe3118 (2290-4109)1.0 (0.8-1.4)7145 (5273-9554)1.6 (1.2-2.2)1.7274 (1.5516-1.9035)
Western Sub-Saharan Africa174 (119-241)0.4 (0.3-0.5)581 (400-833)0.5 (0.3-0.7)0.9196 (0.8629-0.9764)
Male
Global43767 (32062-55845)2.2 (1.6-2.8)103468 (74778-135007)2.5 (1.8-3.2)0.3842 (0.3258-0.4427)
High-middle SDI10036 (7262-12946)2.2 (1.6-2.8)20424 (14902-26931)2.2 (1.6-3.0)0.0839 (-0.0069-0.1748)
High SDI17387 (12949-22598)3.6 (2.7-4.7)30191 (22495-39272)3.4 (2.5-4.5)-0.1142 (-0.1708--0.0576)
Low-middle SDI6873 (4948-9169)2.0 (1.4-2.6)19446 (13485-26219)2.6 (1.8-3.4)0.7941 (0.7045-0.8838)
Low SDI1797 (1266-2471)1.4 (2.0-1.9)4744 (3326-6475)1.7 (1.2-2.3)0.4251 (0.3211-0.5293)
Middle SDI7623 (5464-9960)1.4 (1.0-1.8)28570 (20188-38092)2.1 (1.5-2.8)1.5119 (1.3985-1.6255)
Andean Latin America50 (34-67)0.5 (0.3-0.6)165 (107-234)0.6 (0.4-0.8)0.7623 (0.5731-0.9519)
Australasia526 (377-717)4.9 (3.5-6.6)1093 (742-1496)4.7 (3.2-6.4)-0.1186 (-0.276-0.0391)
Caribbean261 (192-346)2.0 (1.5-2.7)560 (401-744)2.2 (1.6-2.9)0.4831 (0.3448-0.6216)
Central Asia297 (214-385)1.4 (1.0-1.8)455 (322-623)1.2 (0.8-1.6)-0.5130 (-0.7779--0.2474)
Central Europe1773 (1291-2318)2.6 (1.9-3.4)3197 (2336-4222)3.5 (2.6-4.6)0.8323 (0.6911-0.9738)
Central Latin America304 (220-401)0.7 (0.5-1.0)910 (639-1232)0.8 (0.5-1.1)-0.0501 (-0.1610-0.0609)
Central Sub-Saharan Africa88 (55-137)0.8 (0.5-1.2)260 (169-375)0.9 (0.6-1.3)0.4817 (0.2837-0.6801)
East Asia3614 (2504-4932)0.8 (0.5-1.1)19002 (12778-26105)1.8 (1.2-2.4)3.0525 (2.8699-3.2354)
Eastern Europe3165 (2305-4104)2.8 (2.0-3.6)4846 (3432-6379)3.5 (2.5-4.6)0.4724 (0.2872-0.6579)
Eastern Sub-Saharan Africa516 (366-698)1.3 (0.9-1.7)1303 (896-1842)1.4 (1.0-1.9)0.2334 (0.1530-0.3139)
High-income Asia Pacific1422 (1039-1847)1.5 (1.1-2.0)4018 (2911-5258)2.2 (1.6-2.9)1.1186 (0.8210-1.4171)
High-income North America7178 (5379-9471)4.8 (3.6-6.4)11235 (8360-14729)3.9 (2.9-5.1)-0.6398 (-0.7302--0.5492)
North Africa and Middle East394 (281-534)0.4 (0.3-0.6)1441 (1027-1975)0.6 (0.4-0.8)0.9217 (0.8663-0.9772)
Oceania13 (8-19)0.7 (0.5-1.1)41 (27-62)0.9 (0.6-1.4)0.7902 (0.6888-0.8917)
South Asia10042 (7133-13333)2.9 (2.1-3.9)30919 (20956-41641)3.9 (2.7-5.2)0.8407 (0.7358-0.9457)
Southeast Asia1805 (1266-2414)1.4 (1.0-1.8)6265 (4483-8462)1.9 (1.4-2.5)0.9882 (0.9359-1.0404)
Southern Latin America379 (264-506)1.8 (1.2-2.4)567 (396-768)1.5 (1.0-2.0)-0.4149 (-0.6425--0.1869)
Southern Sub-Saharan Africa270 (174-385)2.0 (1.3-2.9)573 (407-775)2.0 (1.5-2.7)-0.2540 (-0.3898--0.1179)
Tropical Latin America894 (655-1149)1.9 (1.4-2.4)2558 (1866-3344)2.1 (1.5-2.7)0.2982 (0.1985-0.3981)
Western Europe10632 (7818-13717)4.5 (3.3-5.8)13659 (9911-17862)3.7 (2.7-4.8)-0.6584 (-0.7233--0.5934)
Western Sub-Saharan Africa135 (95-187)0.3 (0.2-0.4)389 (268-556)0.4 (0.2-0.5)0.7845 (0.6760-0.8932)

Changes in lip and oral cavity cancer YLDs by regions and sexes.

Regarding the trends in changes, from 1990 to 2021, ASIR, ASPR, and ASR of YLDs for LOCC exhibited an estimate annual increasing trend (EAPC, 0.3981 [95% CI, 0.3332 to 0.4631]; 0.8167 [95% CI, 0.7644 to 0.8690]; 0.5507 [95% CI, 0.4933 to 0.6081]) globally (Figures 1A, C, F). Among the 21 GBD regions, East Asia had the highest estimate annual increase in ASIR, ASPR, and ASR of YLDs (EAPC, 1.8681 [95% CI, 1.7032 to 2.0333]; 3.3177 [95% CI, 3.1823 to 3.4533]; 2.4282 [95% CI, 2.2812 to 2.5755]) (Table 1–6). In contrast to the aforementioned trends, the ASDR, ASR of DALYs, and YLLs caused by LOCC all exhibited an estimate annual decreasing trend (EAPC, -0.1142 [95% CI, -0.1675 to -0.0608]; -0.1650 [95% CI, -0.2178 to -0.1121]; -0.1832 [95% CI, -0.2361 to -0.1302]) (Figures 1B, D, E). Ultimately, Western Europe exhibited the most substantial estimate annual decline in ASDR, ASR of DALYs, and YLLs (EAPC, -1.2628 [95% CI, -1.3406 to -1.1850]; -1.6138 [95% CI, -1.6700 to -1.5576]; -1.7016 [95% CI, -1.7595 to -1.6437]). Notably, the region where all LOCC burden indicators showed a marked increase was Oceania.

Figure 1

In terms of sex differences, a notable observation is that among males in East Asia, the highest annual percentage increases were seen in ASIR, ASPR, and the ASR of YLDs (EAPC, 2.4966 [95% CI, 2.3051 to 2.6885]; 4.0502 [95% CI, 3.8578 to 4.2428]; 3.0525 [95% CI, 2.8699 to 3.2354]). Conversely, among females in East Asia, ASPR, ASDR, the ASR of DALYs, and YLLs all exhibited a marked annul decreasing trend (EAPC, -1.9484 [95% CI, -2.1384 to -1.7581]; -1.7080 [95% CI, -1.8764 to -1.5394]; -1.8521 [95% CI, -2.0437 to -1.6601]; -1.9484 [95% CI, -2.1384 to -1.7581]) (Table 1-6).

Projections of the burden of LOCC from 2022 to 2030

Based on the BAPC predictive model, this study found that the global burden of LOCC will exhibit significant sex differences from 2022 to 2030. Specifically, the ASIR and ASPR among males are projected to decline, whereas the opposite trend is anticipated for females. Moreover, by 2030, both sexes are expected to experience a decrease in the ASDR, ASR of DALYs, and YLLs. However, the ASR of YLDs is projected to increase for both sexes (Figure 2).

Figure 2

Specifically, compared to the Incidence of LOCC in males in 2021, the number of cases or years is projected to increase by 17.3% by 2030, the number of Death by 12.1%, the Prevalence by 17.4%, the number of DALYs by 14.7%, the number of YLLs by 14.6%, and the number of YLDs by 9.1%. Except for the ASR of YLDs in males, all other indicators were expected to show a downward trend. Specifically, the ASIR was projected to decrease from 6.65 to 6.58, the ASDR from 3.39 to 3.28, the ASPR from 23.02 to 22.66, the ASR of DALYs from 93.98 to 90.58, and the ASR of YLLs from 91.50 to 88.16, while the ASR of YLDs is expected to increase from 2.49 to 2.51, with all rates expressed per 100,000 population. Additionally, by 2030, the Incidence of LOCC in females was projected to increase by 18.3%, Death by 7.9%, Prevalence by 23.2%, DALYs by 18.6%, YLLs by 18.2%, and YLDs by 5.7%. The ASIR in females was expected to rise from 3.29 to 3.39, the ASPR from 12.65 to 12.96, and the ASR of YLDs from 1.28 to 1.35. Conversely, the ASDR is projected to decrease from 1.58 to 1.57, the ASR of DALYs from 42.43 to 41.93, and the ASR of YLLs from 41.16 to 40.65, with all rates expressed per 100,000 population. These projections suggest that, compared to 2021, the life milestones of LOCC patients of both sexes in 2030 will likely see a delay in the time of death and an increase in survival duration.

Moreover, this study also compared the LOCC disease burden among different age groups of males and females in 2021 and 2030. The findings revealed that, for both sexes, the ASR and the number of cases increase with age, particularly in middle-aged and elderly populations, where this trend is more pronounced. Specifically, patients aged over 50 years are projected to constitute the majority of all LOCC patients (Figure 3). This indicates that middle-aged and elderly LOCC patients will continue to pose a significant challenge in the efforts to reduce the LOCC disease burden in the future.

Figure 3

Discussion

Drawing on the GBD 2021 database, this study conducted a analysis of the global burden of LOCC from 1990 to 2021 and employed the BAPC model to forecast the trends of LOCC from 2022 to 2030. Globally, South Asia emerged as the GBD region with the most severe LOCC burden in 2021. Between 1990 and 2021, the global ASIR, ASPR, and ASR of YLDs for LOCC exhibited a marked upward trend, whereas the ASDR, ASR of DALYs, and ASR of YLLs showed a downward trajectory. Notably, East Asia and Western Europe experienced more pronounced annual changes in LOCC burden. By 2030, the DALYs and YLLs are projected to decline, likely due to a reduction in death and an extension in survival duration among LOCC patients, while the ASR of YLDs is expected to rise. Overall, the burden of LOCC remains a significant global concern.

Numerous factors contribute to the severe burden of LOCC. Among these, lifestyle habits exert a particularly significant influence on LOCC (). Specifically, the practice of chewing betel quid can directly damage the oral mucosa and induce genetic mutations, thereby triggering oral cavity cancer (, ). China, Myanmar, India, and Bangladesh, as major global producers of betel nut, also exhibit extremely high levels of betel nut consumption (, ). Moreover, approximately half of the oral cavity cancer cases reported in East Asian countries are attributed to betel nut chewing (). This is likely one of the reasons for the prominent EAPC of LOCC in East Asia and the ASDR in South Asia. Furthermore, ultraviolet (UV) radiation serves as a critical risk factor for the development of lip cancer (). UV rays have the capacity to disrupt DNA within skin and mucosal cells, thereby inducing genetic mutations and elevating the likelihood of lip cancer (, ). Our research has identified a marked escalation in the burden of LOCC within Oceania, a trend potentially linked to the region’s geographical context. The disparity in solar radiation exposure across regions, attributable to their latitudinal positions and variations in the ozone layer, plays a significant role (). Regions including South Asia, Oceania, and Australasia et.al, are commonly subjected to higher intensities of UV radiation, which is likely a principal factor underlying the substantial burden of lip cancer in these locales (, ). Consequently, the adoption of prudent sun protection strategies is instrumental in mitigating the risk of lip cancer. It is essential to initiate preventive initiatives aimed at enhancing the awareness of utilizing sunscreen and hats, especially within countries with strong UV.

The global ASDR of LOCC has shown a gradual decline (with a negative EAPC), and projections for 2022–2030 indicate a downward trend in the ASDR, ASR of DALYs, and YLLs due to LOCC worldwide. These positive shifts are likely due to significant advancements in the global LOCC healthcare sector. In terms of early diagnostic techniques, oral exfoliative cytology enables the detection of potential cancer cells in the oral cavity by analyzing cells collected from the oral mucosa, particularly in patients with submucosal fibrosis (). Innovations in surgical techniques have also led to improved treatment outcomes for LOCC patients (, ). Targeted radiotherapy technologies can precisely focus high doses of radiation on tumor sites, enhancing local tumor control rates and improving the survival duration of LOCC patients (–). However, there were notable differences in the changes of ASDR across different regions. Western Europe has experienced the most significant average annual decline in ASDR, with a marked decrease observed in males, which may be associated with its comprehensive and advanced healthcare system. In Western Europe, efficient cancer screening networks have been established, facilitating more accurate early detection of cancer (, ). Meanwhile, the decline in the burden of LOCC in Australasia and High-income North America, including Australia and the United States, may be related to a decrease in the number of people working outdoors and an increase in primary prevention of solar radiation by outdoor workers using sunscreen and protective clothing and headgear (). Therefore, we advocate that early screening for LOCC should draw inspiration from Western Europe, aiming to refine and establish an effective early detection system for cancers.

This study projects that between 2022 and 2030, the ASIR and ASPR of LOCC will exhibit a declining trend in males globally, whereas an upward trend is anticipated in females. Moreover, the burden of LOCC is particularly severe among middle-aged and elderly populations, with older females being disproportionately affected. This phenomenon may be closely linked to a lack of awareness regarding oral health among the elderly (). Many seniors fail to implement timely and effective personal oral care in their daily routines, leading to a gradual accumulation of oral health issues (, ). the phenomenon of delayed medical treatment within the elderly population also contributes to the failure to effectively control oral diseases at early stages, thereby exacerbating the overall LOCC burden (). As the population continues to age, the LOCC burden among middle-aged and elderly individuals will face even more formidable challenges in the future. Furthermore, the ASIR and ASPR of female LOCC were higher than those of males, which may be attributed to changes in consumption patterns of cigarette smoking (). Scholars have pointed out that the impact of smoking on the historical trends of oral cavity cancer is reflected in its similarity to the trends of lung cancer two decades later; in several European countries, the incidence of lung cancer among male continues to decline, while it rises among female, which coincides with the lag time of cigarette smoking consumption (). Consequently, there is an urgent need to develop more targeted diagnostic and treatment measures, enhance educational efforts on lip and oral cavity health for the elderly, elevate their awareness of lip and oral cavity health, and optimize the allocation of medical service resources to address the growing burden of LOCC. At the same time, it is also necessary to strengthen publicity about the hazards of smoking consumption to LOCC and raise public awareness regarding this risk factor.

From a disease control and prevention strategy perspective, the findings of this study provide direction for global LOCC management. For regions experiencing rapid increases in Incidence rates, such as East Asia, it is essential to widely disseminate health knowledge related to LOCC and enhance the public’s awareness of the disease. Concurrently, establishing a robust screening system, increasing investment in oral healthcare facilities, training specialized oral screening personnel, and promoting regular oral examinations are crucial, especially for high-risk groups such as long-term betel nut chewers, who should have shorter intervals between check-ups to facilitate early detection and treatment. For regions where the ASDR was not significantly declining or still rising, such as Oceania and some parts of Sub-Saharan Africa, in addition to strengthening health education and screening efforts, we advocate for increased investment in medical resources, improving primary healthcare facilities, and introducing advanced oral examination equipment and LOCC treatment technologies to areas with a high burden of LOCC.

Lastly, this study also has certain limitations. Issues such as non-standardized data collection methods and insufficient sample representativeness may lead to some variation in data quality, potentially interfering with the accuracy of the analytical results to a certain extent. For instance, some developing countries may experience underreporting or misreporting due to a lack of comprehensive disease registration systems and professional data collectors, affecting an accurate assessment of the local LOCC burden. Thus, we suggest integrating and strengthen cancer registry data to mitigate this limitation in future studies. Furthermore, as this study was based on existing data and models for analysis and forecasting, there may be unforeseen factors impacting the burden of LOCC.

Conclusion

The LOCC burden remains severe at present, but it is anticipated to exhibit a downward trend by 2030. Consequently, it is imperative to intensify efforts in the prevention and control of LOCC to meet these expectations. This study offers theoretical guidance for mitigating the burden of LOCC. In light of the findings, we should enhance control and preventive measures against LOCC, focusing on aspects such as regulating betel nut consumption, promoting lip and oral cavity sun protection, and ensuring timely access to medical services. These targeted interventions are crucial for reducing the incidence and improving the prognosis of LOCC, thereby contributing to a decrease in the overall disease burden. By prioritizing these areas, we can work towards a future where the impact of LOCC on global health is significantly diminished.

Statements

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: https://vizhub.healthdata.org/gbd-results/.

Author contributions

Q-YM: Data curation, Resources, Conceptualization, Methodology, Writing – review & editing, Writing – original draft, Software. M-L: Formal Analysis, Writing – review & editing. S-WC: Software, Writing – original draft, Visualization. S-RT: Resources, Writing – review & editing, Formal Analysis, Software, Visualization, Writing – original draft, Data curation, Conceptualization, Validation, Project administration, Methodology, Supervision, Investigation.

Funding

The author(s) declare that no financial support was received for the research, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

lip and oral cavity cancer, global burden of disease, estimated annual percentage change, bayesian age-period-cohort model, prevention

Citation

Mu Q-Y, Min-Li, Chen S-W and Tang S-R (2025) Current and future burden trends of lip and oral cavity cancer based on estimated annual percentage change and the Bayesian age-period-cohort model: a study based on the global burden of disease 2021. Front. Oncol. 15:1674054. doi: 10.3389/fonc.2025.1674054

Received

27 July 2025

Accepted

29 September 2025

Published

22 October 2025

Volume

15 - 2025

Edited by

Sven Eric Niklander, Universidad Andres Bello, Chile

Reviewed by

Sebastiaan De Visscher, University Medical Center Groningen, Netherlands

René Andrés Martinez-Flores, Universidad Andrés Bello, Chile

Updates

Copyright

*Correspondence: Sheng-Rong Tang,

†These authors have contributed equally to this work

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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