Clin Mol Hepatol > Volume 31(2); 2025 > Article
Danpanichkul, Díaz, Suparan, Tothanarungroj, Sirimangklanurak, Auttapracha, Blaney, Sukphutanan, Pang, Kongarin, Idalsoaga, Fuentes-López, Leggio, Noureddin, White, Louvet, Mathurin, Loomba, Kamath, Rehm, Lazarus, Wijarnpreecha, and Arab: Global epidemiology of alcohol-related liver disease, liver cancer, and alcohol use disorder, 2000–2021

ABSTRACT

Background/Aims

Alcohol represents a leading burden of disease worldwide, including alcohol use disorder (AUD) and alcohol-related liver disease (ALD). We aim to assess the global burden of AUD, ALD, and alcohol-attributable primary liver cancer between 2000–2021.

Methods

We registered the global and regional trends of AUD, ALD, and alcohol-related liver cancer using data from the Global Burden of Disease 2021 Study, the largest and most up-to-date global epidemiology database. We estimated the annual percent change (APC) and its 95% confidence interval (CI) to assess changes in age-standardized rates over time.

Results

In 2021, there were 111.12 million cases of AUD, 3.02 million cases of ALD, and 132,030 cases of alcohol-attributable primary liver cancer. Between 2000 and 2021, there was a 14.66% increase in AUD, a 38.68% increase in ALD, and a 94.12% increase in alcohol-attributable primary liver cancer prevalence. While the age-standardized prevalence rate for liver cancer from alcohol increased (APC 0.59%; 95% confidence interval [CI] 0.52 to 0.67%) over these years, it decreased for ALD (APC –0.71%; 95% CI –0.75 to –0.67%) and AUD (APC –0.90%; 95% CI –0.94 to –0.86%). There was significant variation by region, socioeconomic development level, and sex. During the last years (2019–2021), the prevalence, incidence, and death of ALD increased to a greater extent in females.

Conclusions

Given the high burden of AUD, ALD, and alcohol-attributable primary liver cancer, urgent measures are needed to prevent them at both global and national levels.

Graphical Abstract

INTRODUCTION

In 2021, alcohol consumption ranked as the ninth leading cause of the global disease burden [1]. Alcohol use has been causally linked to numerous disease and injury categories, with over 200 of the International Classification of Diseases, 10th Revision (ICD-10) three-digit categories being attributable to alcohol [2-4]. In particular, alcohol use disorder (AUD) constitutes a chronic brain disease characterized, among many other features, by compulsive heavy alcohol use and loss of control over alcohol intake, leading to significant psychological, social, and physical harm [5]. AUD is a highly prevalent mental health disorder, affecting around 3.7% of the global adult population in 2019 [6]. Furthermore, alcohol-related liver disease (ALD) is a striking health consequence, with higher mortality in individuals with cirrhosis [7]. The economic costs due to alcohol use were estimated at 2.6% of global gross domestic product, most of them attributable to losses in productivity (61.2%) [8]. In the United States of America (USA), the annual direct and indirect costs of ALD are projected to increase from $31 billion in 2022 to $66 billion in 2040, representing a 118% increase in this period [9].
Individuals with ALD have two diseases to treat (AUD and chronic liver disease) [10,11], and ideal treatments should be multidisciplinary to manage and treat both comorbid conditions [12]. Unfortunately, timely access to AUD treatments for individuals with ALD is scarce, even in developed countries, due to several barriers at the patient, clinician, and organizational levels [13]. For example, a retrospective study conducted in the USA, including 35,682 veterans with ALD, demonstrated that 12% received behavioral therapy after AUD diagnosis, and 1% received behavioral therapy with pharmacotherapeutic agents [14]. Also, difficulties in hepatocellular carcinoma (HCC) surveillance have been identified in ALD. In the USA and Europe, fewer than 30% of HCC cases are diagnosed by surveillance in patients with cirrhosis, and screening among individuals with ALD is less commonly performed than in those with hepatitis C virus-related cirrhosis [15]. Thus, gaps in both healthcare access and treatment likely contribute to the burden of disease due to alcohol.
While numerous studies have examined the local and regional epidemiology of ALD and AUD, there are significant gaps in understanding their global epidemiology [16,17]. The Coronavirus Disease 2019 (COVID-19) pandemic has further deepened this understanding through its significant effects on disease burden, high mortality rates, long-term health impacts, and disruptions to healthcare systems, which have undoubtedly influenced the burdens of ALD, AUD, and liver cancer [18]. To bridge these gaps, we leveraged the Global Burden of Disease (GBD) Study 2021 data, one of the most comprehensive and up-to-date global datasets for ALD, AUD, liver cancer, and their risk factors available [18-20]. Our study aimed to investigate the temporal trends of ALD, AUD, and alcohol-attributable primary liver cancer across 204 countries and territories, stratifying the data by sex, geographic location, and sociodemographic index (SDI) from 2000 to 2021.

MATERIALS AND METHODS

Data source

The study accessed data on AUD, ALD, and alcohol-attributable liver cancer incidence, prevalence, and deaths from 2000 to 2021 using data from the GBD 2021 [18-20]. The data stratified by sex, region, and country were accessed through the Global Health Data Exchange (GHDx) query tool (http://ghdx.healthdata.org/gbd-results-tool), a resource maintained by the Institute for Health Metrics and Evaluation (University of Washington, USA) [18-20].
This study involves human participants, but an Ethics Committee(s) or Institutional Board(s) exempted this study by the Institute For Health Metrics and Evaluation in 2021. The data utilized in this article were obtained from the publicly available GBD database and, thus, did not necessitate any institutional review board approval, ethics clearance, or consent from study subjects.

Estimation methods

The estimation methods for the GBD 2021 and the methodology for estimating the burden of diseases were described in previous GBD study publications [18-20]. For AUD, the analysis utilized ICD-10 codes E24.4, F10-F10.9, G31.2, G62.1, G72.1, P04.3, Q86.0, R78.0, and X45-X45.9, X65-X65.9, Y15-Y15.9. For ALD and alcohol-attributable primary liver cancer, estimates of etiologies for chronic liver disease (ICD10: B18-B18.9, I85-I85.9, I98.2, K70-K70.3, K71.7, K73-K75, K75.2, K75.4-K76.2, K76.4-K76.9, and K77.8) and liver cancer (C22-C22.8, D13.4) were derived from a systematic GBD literature search, incorporating population-based studies. Data for five etiologies—chronic hepatitis B virus infection, chronic hepatitis C virus infection, ALD, metabolic dysfunction associated steatohepatitis. The proportions for each etiology were scaled to sum to 100%, and the ALD and alcohol-attributable primary liver cancer were extracted. In summary, data were obtained from various reliable sources, including population-based cancer registries, vital registration systems, and verbal autopsy studies (Supplementary materials). Several statistical methods were employed to enhance the consistency and reliability of the data, including misclassification correction, garbage code redistribution, and noise reduction algorithms. These techniques minimize biases to improve the accuracy of estimates. The study employed a Cause-of-death Ensemble model, a Bayesian geospatial regression analysis [18-20], that calculates mortality by age, sex, geographical location, and year.
Countries were grouped by development level using the SDI (i.e., low, low-middle, middle, high-middle, high), a composite measure of lag-distributed income per capita, average years of education, and fertility rates among females younger than 25 years (Supplementary Table 1) [1]. The burden of diseases was stratified into 21 regions based on the GBD region classification, which are Central Asia, Central Europe, Eastern Europe, Australasia, High-income Asia-Pacific, High-income North America, Southern Latin America, Western Europe, Andean Latin America, Central Latin America, Tropical Latin America, Caribbean, North Africa and Middle East, South Asia, East Asia, Southeast Asia, Oceania, Central Sub-Saharan Africa, Eastern Sub-Saharan Africa, Southern Sub-Saharan Africa, and Western Sub-Saharan Africa [21].

Statistical analysis

The study reports an estimate for the estimates of prevalence, incidence, and deaths accompanied by 95% uncertainty intervals (UIs). These intervals are determined by identifying the 2.5th and 97.5th ranked values across all 1,000 draws from the posterior distribution. This approach provides a range of values that reflects the uncertainty inherent in statistical modeling. The change in any variable between 2000 and 2021 was calculated as follows: ([value in 2021–value in 2000]/value in 2000). Age-standardized rates (ASRs), including age-standardized prevalence rate (ASPR), age-standardized incidence rate (ASIR), and age-standardized death rate (ASDR) per 100,000 were calculated using the GBD population estimate method [22]. ASRs provide several advantages, including adjusting for age distribution differences to allow fair comparisons across regions, countries, or time periods. Unlike crude numbers, ASRs per 100,000 standardize data by population size, facilitating comparisons between countries with varying populations or prevalence rates. This ensures that observed differences represent actual disease burden rather than demographic variations. To assess changes in ASRs over time, the study calculated the annual percent change (APC) and its 95% confidence interval (CI). When both the annualized rate of change and the lower boundary of its 95% CI were positive, it was classified as an increasing trend. Conversely, if the annualized rate of change and the upper boundary of its 95% CI were negative, it was classified as a decreasing trend. This analysis used the Joinpoint regression program, version 4.9.1.0 (https://surveillance.cancer.gov/joinpoint), developed by the Statistical Research and Applications Branch of the National Cancer Institute in Bethesda.

RESULTS

The global burden of alcohol use disorder, alcohol-related liver disease, and alcohol-attributable primary liver cancer

In 2021, there were 111.12 million cases of AUD (+14.66% from 2000), 3.02 million cases of ALD (+38.68% from 2000), and 132,030 cases of alcohol-attributable primary liver cancer (+94.12% from 2000) (Tables 13, Fig. 1AC). In terms of incidence, there were 55.78 million new cases of AUD (+15.24% from 2000), 462,690 cases of ALD (+38.29% from 2000), and 99,540 cases of alcohol-attributable liver cancer (+82.89% from 2000) (Tables 13). There were 158,470 deaths from AUD (-3.23% from 2000), 354,250 deaths from ALD (+32.60% from 2000), and 92,230 deaths from alcohol-attributable primary liver cancer (+76.75% from 2000) (Tables 13, Fig. 1DF). The ASPRs of AUD, ALD, and primary liver cancer from alcohol were 1,335.43 (95% UI 1,153.65 to 1,539.75), 34.81 (95% UI 28.88 to 40.26), and 1.51 (95% UI 1.23 to 1.82), respectively (Tables 13, Fig. 1AC). The ASIRs of these conditions were 673.98 (95% UI 563.13 to 776.68), 5.34 (95% UI 4.40 to 6.25), and 1.14 (95% UI 0.93 to 1.38), respectively (Tables 13). The ASDRs were 1.84 (95% UI 1.50 to 2.01), 4.08 (95% UI 3.45 to 4.81), and 1.06 (95% UI 0.86 to 1.29) for AUD, ALD, and alcohol-attributable primary liver cancer, respectively (Tables 13, Fig. 1DF). An examination of trends from 2000 to 2021 indicated an annual rise in the ASPR for alcohol-attributable primary liver cancer (APC: 0.59%, 95% CI 0.52 to 0.67%), whereas decrease in AUD (APC: -0.90%, 95% CI –0.94 to –0.86%) and ALD (APC –0.71%; 95% CI –0.75 to –0.67%) (Tables 13). Similarly, the trend of ASIR increased from alcohol-attributable primary liver cancer (APC 0.26%; 95% CI 0.22 to 0.30%), yet decreased in AUD (APC –0.78%; 95% CI –0.81 to –0.75%) and ALD (APC –0.84%; 95% CI –0.87 to –0.82%) (Tables 13). ASDRs remained stable in alcohol-attributable primary liver cancer but declined in AUD (APC –2.19%; 95% CI –2.44 to –1.93%) and ALD (APC –1.11%; 95% CI –1.19 to –1.04%) (Tables 13).
Regarding sex, changes from 2000 to 2021 from ALD and AUD were less pronounced in females than males (Supplementary Fig. 1AC). When analyzed during the pandemic timeframe (2019 to 2021) versus the pre-pandemic timeframe (2000 to 2019), prevalence, incidence, and mortality (except for AUD) underwent nearly equal or higher degrees of changes in the pre-pandemic compared to the pandemic timeframe (Supplementary Fig. 1AF). From 2019 to 2021, AUD prevalence and incidence increased in males, whereas it decreased in females (Supplementary Fig. 1DE). AUD death decreased at a higher degree in females than males (Supplementary Fig. 1F). However, ALD metrics increased more in females: prevalence by 4.90%, incidence by 4.96%, and mortality by 1.07%. In males, prevalence increased by 3.87%, incidence by 3.73%, and mortality by 0.88% (Supplementary Fig. 1DF).

Alcohol use disorder

The highest burden of AUD was observed in Eastern Europe, where the ASPR, ASIR, and ASDR were 3,292.73 (95% UI 2,901.33 to 3,724.07), 1,634.85 (95% UI 1,373.51 to 1,906.75), and 10.66 (95% UI 9.82 to 11.56), respectively (Table 1). While a decline in ASPR was observed across most regions, ASPR was increased in Australasia (APC 0.72%; 95% CI 0.59 to 0.84%), Oceania (APC 0.13%; 95% CI 0.11 to 0.15%), and Western Sub-Saharan Africa (APC 0.08%; 95% CI 0.05 to 0.11%) (Table 1). Considering ASIR, most regions exhibited a decrease, but increased in Australasia (APC 0.76%; 95% CI 0.65 to 0.86%), Oceania (APC 0.12%; 95% CI 0.10 to 0.14%), and Western Sub-Saharan Africa (APC 0.10%; 95% CI 0.07 to 0.12%) (Table 1). On the other hand, ASDR increased only in High-income North America (APC 1.83%; 95% CI 1.16 to 2.50%) (Table 1).
When evaluated against the SDI, high SDI countries exhibited the highest burden of AUD with ASPR, ASIR, and ASDR of 1,847.63 (95% UI 1,603.23 to 2,115.44), 915.37 (95% UI 772.84 to 1,052.98), and 2.58 (95% UI 2.50 to 2.66), respectively (Table 1, Fig. 2A, B). ASDR decreased in all SDI strata except remained stable in high SDI countries (Table 1).
The national difference in ASPRs of AUD among different nations in 2021 is illustrated in Figure 3A, Supplementary Table 2. Briefly, the ASPR of AUD was highest in Mongolia with an ASPR of 4,716.94 (95% UI 3,986.35 to 5,453.81), followed by Guatemala at 4,049.97 (95% UI 3,444.01 to 4,623.66), El Salvador at 3,917.28 (95% UI 3,312.16 to 4,461.73), and Kazakhstan at 3,895.96 (95% UI 3,302.65 to 4,889.17). Around 40 countries/ territories showed an uptrend of ASPR from AUD. New Zealand (APC 3.46%; 95% CI 3.21 to 3.70%), Mongolia (APC 1.49%; 95% CI 1.30 to 1.67%), Taiwan (APC 1.24%; 95% CI 0.95 to 1.52%), and Uruguay (APC 0.64%; 95% CI 0.56 to 0.72%) exhibited the highest increases of ASPR from 2000 to 2021 (Supplementary Table 2).

Alcohol-related liver disease

In 2021, the highest ASPR of ALD was observed in Eastern Europe, with an ASPR of 125.22 (95% UI 102.77 to 148.78). In contrast, ASIR and ASDR were highest in Central Asia, with 18.56 (95% UI 14.78 to 22.14) and 11.63 (95% UI 9.26 to 14.28), respectively (Table 2). The ASPR, ASIR, and ASDR of ALD demonstrated a downward trend in most GBD regions from 2000 to 2021 (Table 2). However, Central Asia (APC 0.88%; 95% CI 0.79 to 0.97%), Eastern Europe (APC 0.68%; 95% CI 0.53 to 0.82%), Central Sub-Saharan Africa (APC 0.16%; 95% CI 0.14 to 0.18%), and South Asia (APC 0.10%; 95% CI 0.08 to 0.13%) exhibited an uptrend in ASPR. ASIR increased in Eastern Europe (APC 0.47%; 95% CI 0.35 to 0.59%) and Central Asia (APC 0.44%; 95% CI 0.32 to 0.56%) (Table 2). ASDR increased in Eastern Europe (APC 0.99%; 95% CI 0.58 to 1.41%) and High-income North America (APC 0.74%; 95% CI 0.38 to 1.10%) (Table 2).
Regarding SDI, high SDI countries exhibited the highest ASPR with a value of 39.37 (95% UI 32.74 to 45.26), whereas low SDI countries exhibited the highest ASIR and ASDR with a value of 7.79 (95% UI 6.10 to 9.66) and 5.94 (95% UI 4.43 to 7.78), respectively (Fig. 2C, D). In this timeframe, ASPR, ASIR, and ASDR decreased in all SDI strata (Table 2, Fig. 2C, D).
The geographical variation in ASPRs of ALD among different countries/ territories in 2021 is illustrated in Figure 3B and Supplementary Table 3. In short, the ASPR of ALD was highest in the Republic of Moldova with an ASPR of 182.41 (95% UI 145.28 to 220.48), followed by Ukraine at 146.50 (95% UI 118.14 to 178.47), Mongolia at 145.63 (95% UI 115.28 to 174.84), and Turkmenistan at 130.18 (95% UI 100.91 to 157.40). 49 countries/ territories exhibited an uptrend, with the highest ascending trends observed in Kazakhstan (APC 1.74%; 95% CI 1.50 to 1.98%), Armenia (APC 1.60%; 95% CI 1.42 to 1.77%), Turkmenistan (APC 1.35%; 95% CI 1.29 to 1.41%), and Ukraine (APC 1.21%; 95% CI 0.90 to 1.53%) (Fig. 3C, Supplementary Table 3).

Alcohol-attributable primary liver cancer

In 2021, the highest burden of alcohol-attributable primary liver cancer in terms of ASRs was observed in Australasia, with an ASPR, ASIR, and ASDR of 3.77 (95% UI 3.03 to 4.61), 2.32 (95% UI 1.87 to 2.86), and 1.92 (95% UI 1.53 to 2.37), respectively (Table 3). From 2000 to 2021, Australasia (APC 3.52%; 95% CI 3.24 to 3.80%), Southern Latin America (APC 3.46%; 95% CI 3.32 to 3.60%), and High-income North America (APC 2.72%; 95% CI 2.58 to 2.86%) experienced the most notable changes in ASPR (Table 3). ASIR increased in two-thirds of regions, with the highest upward progression observed in Southern Latin America (APC 3.26%; 95% CI 3.03 to 3.50%), Australasia (APC 2.79%; 95% CI 2.54 to 3.04%), and High-income North America (APC 2.46%; 95% CI 2.32 to 2.60%). Similarly, ASDR exhibited the most pronounced increases in Southern Latin America (APC 3.09%; 95% CI 2.74 to 3.45%), Australasia (APC 2.47%; 95% CI 1.79 to 3.15%), and High-income North America (APC 2.30%; 95% CI 1.87 to 2.73%) (Table 3).
In terms of SDI, ASPR of alcohol-attributable primary liver cancer increased in high (APC 1.10%; 95% CI 1.05 to 1.16%), middle (APC 0.96%; 95% CI 0.89 to 1.04%), and low-middle SDI countries (APC 0.93%; 95% CI 0.89 to 0.97%) (Table 3, Fig. 2E). From the designated time frame, ASIR increased in low-middle (APC 0.90%; 95% CI 0.85 to 0.94%), middle (APC 0.61%; 95% CI 0.53 to 0.69%), and high SDI strata (APC 0.56%; 95% CI 0.51 to 0.62%) (Table 3). Similarly, ASDR increased in low-middle (APC 0.89%; 95% CI 0.70 to 1.09%), middle (APC 0.35%; 95% CI 0.18 to 0.52%), and high SDI countries (APC 0.27%; 95% CI 0.06 to 0.48%) (Table 3, Fig. 2F).
Classified by country, the ASPR of alcohol-attributable primary liver cancer was highest in Mongolia with an ASPR of 17.07 (95% UI 11.56 to 25.43), followed by Republic of Korea at 6.12 (95% UI 4.02 to 9.14), Gambia at 6.07 (95% UI 3.38 to 10.00), and Austria at 5.12 (95% UI 4.23 to 6.06) (Supplementary Fig. 2). From 2000 to 2021, Poland (APC 7.11%; 95% CI 6.33 to 7.89%), United Kingdom (APC 4.91%; 95% CI 4.66 to 5.16%), Sweden (APC 4.87%; 95% CI 4.49 to 5.25%), and Guatemala (APC 4.09%; 95% CI 3.70 to 4.48%) exhibited the highest rising trends. 111 countries/territories showed increasing trends of ASPR for liver cancer from alcohol (Supplementary Table 4).

DISCUSSION

Trends in alcohol use and its related health consequences have been evolving over the last few years, likely promoted by sociodemographic changes, cultural aspects, and the COVID-19 pandemic, among other factors [16,23]. In this study, we analyzed the trends in the global burden of some of the most frequent and striking consequences in health from alcohol misuse, AUD, ALD, and alcohol-attributable primary liver cancer, using the GBD 2021 [1]. In 2021, there were 158,470, 354,250, and 92,230 deaths from AUD, ALD, and alcohol-attributable primary liver cancer, respectively. From 2000 to 2021, around one-fourth of countries and territories exhibited an uptrend in the prevalence rate of ALD. The study also revealed a noteworthy rise in ALD and alcohol-attributable primary liver cancer burden both from the past two decades and during the COVID-19 pandemic. During the COVID-19 pandemic, females exhibited a higher increase in prevalence, incidence, and mortality from ALD compared to males, in contrast to prior to the pandemic.
Our findings are in line with trends observed from the GBD 2019 study [21,24], which highlighted the rising prevalence rates of ALD and alcohol-attributable primary liver cancer even while the prevalence rate of AUD declined. Our findings suggest that factors beyond alcohol consumption contribute to the rising prevalence of ALD and primary liver cancer [25,26]. Improved screening and diagnostic techniques allow for earlier and more accurate detection, while changes in disease registry systems may enhance the ability to capture current epidemiological trends, potentially leading to higher reported prevalence rates [27,28]. Furthermore, while overall AUD prevalence may be declining, higher-risk drinking behaviors, such as binge-drinking, among specific populations could be on the rise [29,30]. Even though the global burden of AUD declined, it is still markedly high, with over 111 million people living with AUD in 2021. The global decline masked an important regional variation in which Australasia, Oceania, and Western Sub-Saharan Africa exhibited an uptrend from age-adjusted incidence rates of AUD. Mortality from AUD decreased or remained stable in nearly all regions except increased in High-income North America. Of note, although AUD was more frequent in countries with high SDI, countries with lower SDI exhibited higher ASDRs from ALD, which could be explained by poorer healthcare access and availability of treatments and technologies, among other social and cultural variables [31,32]. ALD and AUD co-exist, with ALD being one of the most common alcohol-associated organ damage hence, policies to decrease alcohol use together with prevention and early detection of AUD are crucial for effectively reducing alcohol-related harm and ALD [14,33-35].
Our study found that during the COVID-19 pandemic, the change in incidence and mortality from AUD, ALD, and liver cancer from alcohol exhibited a lower increase compared to pre-pandemic trends, even though several studies reported an increasing rate of ALD and alcohol consumption at the greater extent during COVID-19 pandemic [36,37]. This observation may be explained by changes in access to alcohol, which was subjected to multiple factors, including the restriction of alcohol sales [38,39]. For example, in South Africa, alcohol was restricted in some regions during the COVID-19 pandemic.38 However, data from a cross-sectional study including over 3,000 individuals indicated that around a fifth of alcohol drinkers increased or started alcohol consumption during the pandemic [38]. A lag time between increased alcohol consumption and liver injury from alcohol, along with other factors, might be expected. Other relevant factors, such as the interaction between alcohol use and metabolic dysfunction (e.g., obesity, type 2 diabetes mellitus, arterial, and dyslipidemia), including MetALD, could also contribute to this rising trend of chronic liver disease and HCC [40-42]. Interestingly, our study found that from 2019 to 2021, females experienced a greater increase in ALD prevalence compared to males. This trend may be attributed to the rise in alcohol consumption among females during the COVID-19 pandemic [43]. In addition, self-underreporting of alcohol consumption is a well-recognized bias that impedes accurate tracking of epidemiological trends in AUD. This may partly explain the observed decline in AUD in our findings, especially during the pandemic, when limited healthcare access, heightened stigma in remote surveys, and disruptions in data collection likely played a role [44]. Moreover, whether AUD declines in female populations in areas where alcohol use among females is due to stigma remains an unproven hypothesis. Long-term data is needed to quantify the global effect of the COVID-19 pandemic on the alcohol-related disease burden, particularly liver disease, which accounts for nearly 90 percent of alcohol-related harm.
We acknowledge several limitations, which are common challenges encountered in GBD studies and relate to the availability and quality of primary data, mainly influenced by the efficacy of vital registration systems in each country [1,22]. Furthermore, the estimation methodology used by the GBD often leads to an underestimation of mortality, particularly in low-income countries, attributed to the absence of high-quality data and underreported risk factors attributable to the stigma around alcohol and its related health consequences. Additionally, GBD estimated AUD using ICD-10 codes rather than the Diagnostic and Statistical Manual of Mental Disorders, 5th edition. This can lead to an underestimation of the true burden of AUD, ALD, and alcohol-attributable liver cancer in these regions [1,45]. The report on alcohol use also tends to be underestimated [46]. Also, we performed our analysis based on geographical and SDI strata, which comprise many factors of social determinants of health; however, it is not fully comprehensive. In addition, the GBD analysis framework is currently limited to attributing a single cause to a specific outcome, preventing the inclusion of co-variation with other relevant risk factors. Thus, future modeling studies should be conducted, incorporating other comorbidities and determinants of health, such as race, ethnicity, age, socio-economic status, cultural factors, and other relevant risk factors for liver disease, such as viral hepatitis and metabolic dysfunction [41,47-50].
In conclusion, our study reported a high burden of AUD, ALD, and liver cancer attributable to alcohol, including an increased prevalence rate of liver cancer from alcohol from 2000 to 2021. Prevalence, incidence, and mortality of ALD increased from 2019 to 2021, with a steeper trend in females compared to males. Given that 49 countries exhibited an uptrend in ALD prevalence rates and 111 countries were found to have an uptrend in liver cancer prevalence rates from alcohol consumption between 2000 and 2021, it is essential to implement comprehensive strategies globally. These strategies should focus on reducing alcohol intake, preventing AUD, and effectively treating its health consequences, including ALD and HCC, in all countries and territories worldwide.

FOOTNOTES

Authors’ contribution
Conceptualization – Pojsakorn Danpanichkul, Juan Pablo Arab, Luis Antonio Díaz, Karn Wijarnpreecha. Data curation – Pojsakorn Danpanichkul, Banthoon Sukphutanan, Thanida Auttapracha, Supapitch Sirimangklanurak. Formal analysis – Pojsakorn Danpanichkul, Banthoon Sukphutanan, Kanokphong Suparan, Siwanart Kongarin, Yanfang Pang. Investigation – Pojsakorn Danpanichkul, Siwanart Kongarin, Primrose Tothanarungroj, Supapitch Sirimangklanurak. Methodology – Pojsakorn Danpanichkul, Luis Antonio Díaz, Jeffrey V. Lazarus. Project Administration Pojsakorn Danpanichkul, Karn Wijarnpreecha, Juan Pablo Arab, Luis Antonio Díaz. Supervision – Karn Wijarnpreecha, Juan Pablo Arab, Luis Antonio Diaz, Mazen Noureddin, Jeffrey V. Lazarus. Validation – Pojsakorn Danpanichkul, Siwanart Kongarin, Banthoon Sukphutanan, Thanida Auttapracha, Supapitch Sirimangklanurak, Primrose Tothanarungroj. Visualization – Pojsakorn Danpanichkul, Siwanart Kongarin, Luis Antonio Díaz. Writing, original draft – Pojsakorn Danpanichkul, Kanokphong Suparan, Yanfang Pang, Luis Antonio Díaz, Karn Wijarnpreecha, Hanna L. Blaney. Writing, review, and editing – Juan Pablo Arab, Jeffrey V. Lazarus, Alexandre Louvet, Mazen Noureddin, Lorenzo Leggio, Philippe Mathurin, Rohit Loomba, Francisco Idasoaga, Eduardo Fuentes-López, Patrick S. Kamath, Jürgen Rehm, Trenton M. White. All authors have read and approved the final version of the manuscript for submission.
Acknowledgements
Lorenzo Leggio is supported by the NIH Intramural Research Program (NIDA/NIAAA). Rohit Loomba receives funding support from NCATS (5UL1TR001442), NIDDK (P30DK120515), NHLBI (P01HL147835), John C. Martin Foundation (RP124), and NIAAA (U01AA029019). JVL acknowledges support to ISGlobal from the grant CEX20230001290-S funded by MCIN/AEI/ 10.13039/501100011033, and support from the Generalitat de Catalunya through the CERCA Programme. The heatmaps were created using mapchart.net.
Conflicts of Interest
Mazen Noureddin has been on the advisory board for 89bio, Gilead, Intercept, Pfizer, Novo Nordisk, Blade Therapeutics, Echosens, Fractyl, Terns, Siemens, and Roche diagnostics; has received research support from Allergan, Bristol-Myers Squibb, Gilead, Galmed, Galectin, Genfit, Conatus, Enanta, Madrigal, Novartis, Pfizer, Shire, Viking and Zydus; and is a minor shareholder or has stocks in Anaetos, Rivus Pharma and Viking. Rohit Loomba serves as a consultant to Aardvark Therapeutics, Altimmune, Arrowhead Pharmaceuticals, AstraZeneca, Cascade Pharmaceuticals, Eli Lilly, Gilead, Glympse Bio, Inipharma, Intercept, Inventiva, Ionis, Janssen Pharmaceuticals, Lipidio, Madrigal, Neurobo, Novo Nordisk, Merck, Pfizer, Sagimet Biosciences, 89bio, Takeda, Terns Pharmaceuticals and Viking Therapeutics; has stock options in Sagimet Biosciences; his institution received research grants from Arrowhead Pharmaceuticals, Astrazeneca, Boehringer-Ingelheim, Bristol-Myers Squibb, Eli Lilly, Galectin Therapeutics, Gilead, Intercept, Hanmi, Inventiva, Ionis, Janssen, Madrigal Pharmaceuticals, Merck, Novo Nordisk, Pfizer, Sonic Incytes and Terns Pharmaceuticals; and is a Co-founder of LipoNexus. Jeffrey V. Lazarus acknowledges grants to ISGlobal from AbbVie, Boehringer Ingelheim, Echosens, Gilead Sciences, Madrigal, MSD, Novo Nordisk, Pfizer, and Roche Diagnostics; received consulting fees from Echosens, Novavax, GSK, Novo Nordisk, Pfizer and Prosciento; and received payment or honoraria for lectures from AbbVie, Echosens, Gilead Sciences, Janssen, Moderna, MSD, Novo Nordisk and Pfizer, outside of the submitted work.

SUPPLEMENTAL MATERIAL

Supplementary material is available at Clinical and Molecular Hepatology website (http://www.e-cmh.org).
Supplementary Materials and Methods.
cmh-2024-0835-Supplementary-Materials-Method.pdf
Supplementary Table 1.
Sociodemographic index in 2021 from GBD 2021
cmh-2024-0835-Supplementary-Table-1.pdf
Supplementary Table 2.
Prevalence, age-standardized prevalence rates, temporal progression of alcohol use disorder from 2000 to 2021, classified by country/territory
cmh-2024-0835-Supplementary-Table-2.pdf
Supplementary Table 3.
Prevalence, age-standardized prevalence rates, temporal progression of alcohol-related liver disease from 2000 to 2021, classified by country/territory
cmh-2024-0835-Supplementary-Table-3.pdf
Supplementary Table 4.
Prevalence, age-standardized prevalence rates, temporal progression of primary liver cancer from alcohol from 2000 to 2021, classified by country/ territory
cmh-2024-0835-Supplementary-Table-4.pdf
Supplementary Figure 1.
(A) Percent change in prevalence of alcohol use disorder, alcohol-related liver disease, and alcohol-attributable primary liver cancer from 2000 to 2019 in females versus males. (B) Percent change in incidence of alcohol use disorder, alcohol-related liver disease, and alcohol-attributable primary liver cancer from 2000 to 2019 in females versus males. (C) Percent change in death from alcohol use disorder, alcohol-related liver disease, and alcohol-attributable primary liver cancer from 2000 to 2019 in females versus males. (D) Percent change in prevalence of alcohol use disorder, alcohol-related liver disease, and alcohol-attributable primary liver cancer from 2019 to 2021 in females versus males. (E) Percent change in incidence of alcohol use disorder, alcohol-related liver disease, and alcohol-attributable primary liver cancer from 2019 to 2021 in females versus males. (F) Percent change in death from alcohol use disorder, alcohol-related liver disease, and alcohol-attributable primary liver cancer from 2019 to 2021 in females versus males.
cmh-2024-0835-Supplementary-Figure-1.pdf
Supplementary Figure 2.
Age-standardized prevalence rates attributable to liver cancer from alcohol in 2021 by country.
cmh-2024-0835-Supplementary-Figure-2.pdf

Figure 1.
Prevalence and age-standardized prevalence rates from 2000 to 2021 of patients with alcohol use disorder (A), alcohol-related liver disease (B), and alcohol-attributable primary liver cancer (C). Death and age-standardized death rates from 2000 to 2021 of patients with alcohol use disorder (D), alcohol-related liver disease (E), and alcohol-attributable primary liver cancer (F).

cmh-2024-0835f1.jpg
Figure 2.
Age-standardized prevalence (A) and death (B) rates of patients with alcohol use disorder in 2000 and 2021, by sociodemographic index. Age-standardized prevalence (C) and death (D) rates of patients with alcohol-related liver disease in 2000 and 2021, by sociodemographic index. Age-standardized prevalence (E) and death (F) rates of patients with alcohol-attributable primary liver cancer in 2000 and 2021, by sociodemographic index.

cmh-2024-0835f2.jpg
Figure 3.
Age-standardized prevalence rates of patients with alcohol use disorder (A) and alcohol-related liver disease (B) in 2021, by country. (C) Annual percent change in age-standardized prevalence rates of alcohol-related liver disease from 2000 to 2021, by country.

cmh-2024-0835f3.jpg

cmh-2024-0835f4.jpg
Table 1.
Prevalence, incidence, death, and age-standardized rates from 2000 to 2021 in patients with alcohol use disorder
Characteristics 2021 Prevalence (95% UI) 2021 ASPR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value 2021 Incidence (95% UI) 2021 ASIR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value 2021 Death (95% UI) 2021 ASDR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value
Overall 111.12 million (96.36 million to 127.90 million) 1335.43 (1153.65 to 1539.75) –0.9 (–0.94 to –0.86) <0.001 55.78 million (46.56 million to 64.31 million) 673.98 (563.13 to 776.68) –0.78 (–0.81 to –0.75) <0.001 158,470 (129,570 to 173,260) 1.84 (1.5 to 2.01) –2.19 (–2.44 to –1.93) <0.001
Sex
 Female 24.92 million (21.17 million to 29.29 million) 599.5 (508.32 to 704.46) –1.07 (–1.14 to –1) <0.001 12.27 million (10.16 million to 14.40 million) 297.51 (244.34 to 349.58) –1.04 (–1.08 to –1) <0.001 23,260 (22,140 to 24,620) 0.53 (0.5 to 0.56) –2.99 (–3.59 to –2.4) <0.001
 Male 86.20 million (75.34 million to 98.86 million) 2,077.27 (1,809.94 to 2,388.21) –0.85 (–0.89 to –0.8) <0.001 43.50 million (36.42 million to 50.25 million) 1,050.39 (880.68 to 1,209.52) –0.7 (–0.73 to –0.68) <0.001 135,210 (106,440 to 149,670) 3.2 (2.52 to 3.55) –2 (–2.24 to –1.76) <0.001
Region
 Central Asia 2.54 million (2.22 million to 2.94 million) 2,581.06 (2,252.39 to 2,969.55) –1.61 (–1.73 to –1.49) <0.001 12.64 million (10.86 million to 14.50 million) 1,274.93 (1,102.99 to 1,463.29) –1.41 (–1.53 to –1.28) <0.001 2,720 (2,370 to 3,100) 2.78 (2.42 to 3.16) –4.24 (–4.97 to –3.51) <0.001
 Central Europe 3.52 million (3.15 million to 3.93 million) 2,393.52 (2,115.8 to 2,716.1) –0.55 (–0.63 to –0.46) <0.001 17.24 million (14.88 million to 1,952,590) 1,227.02 (1,054.53 to 1,395) –0.53 (–0.65 to –0.41) <0.001 8,180 (7,540 to 8,780) 4.71 (4.35 to 5.05) 0.21 (–0.42 to 0.84) 0.519
 Eastern Europe 8.60 million (7.64 million to 9.76 million) 3,292.73 (2,901.33 to 3,724.07) –1.31 (–1.42 to –1.2) <0.001 4,074,750 (3,384,440 to 4,793,310) 1,634.85 (1,373.51 to 1,906.75) –0.74 (–0.98 to –0.5) <0.001 30,750 (28,240 to 33,340) 10.66 (9.82 to 11.56) –3.83 (–5.19 to –2.46) <0.001
 Australasia 702640 (600260 to 818890) 2,083.16 (1,756.51 to 2,450.41) 0.72 (0.59 to 0.84) <0.001 352,600 (303,510 to 409,380) 1,072.84 (906.15 to 1,254.21) 0.76 (0.65 to 0.86) <0.001 490 (460 to 510) 1.12 (1.06 to 1.18) –0.48 (–1.6 to 0.64) 0.399
 High-income Asia Pacific 2.29 million (1.96 million to 2.60 million) 1054.43 (890.89 to 1241.51) –0.09 (–0.31 to 0.14) 0.443 982,130 (813,990 to 11.43 million) 484.09 (395.56 to 572.37) –0.15 (–0.29 to –0.01) 0.038 1,580 (1,340 to 1,790) 0.51 (0.44 to 0.58) –1.98 (–2.29 to –1.66) <0.001
 High-income North America 8.55 million (7.39 million to 9.82 million) 2,155.75 (1,849.51 to 2,484.03) –0.04 (–0.11 to 0.04) 0.332 39.91 million (33.42 million to 46.59 million) 1,038.85 (865.87 to 1,222.59) 0.06 (–0.04 to 0.16) 0.213 18,670 (18,090 to 19,230) 3.72 (3.62 to 3.84) 1.83 (1.16 to 2.5) <0.001
 Southern Latin America 1.56 million (1.29 million to 1.84 million) 2,113.45 (1,736.46 to 2,517.42) –0.83 (–0.88 to –0.78) <0.001 792,320 (651,340 to 953,320) 1,086.56 (885.56 to 1,316.53) –0.59 (–0.68 to –0.5) <0.001 770 (730 to 820) 0.93 (0.89 to 0.99) –4.87 (–5.39 to –4.35) <0.001
 Western Europe 9.96 million (8.74 million to 11.24 million) 2,113.94 (1,832.43 to 2,466.96) –0.22 (–0.28 to -0.16) <0.001 4,907,350 (43.19 million to 55.08 million) 1,083.17 (923.39 to 1,247.99) –0.2 (–0.31 to –0.09) <0.001 14,400 (13,760 to 15,080) 2.02 (1.95 to 2.11) –1.6 (–1.86 to –1.34) <0.001
 Andean Latin America 771300 (650140 to 904830) 1135.86 (966.24 to 1,322.89) –0.96 (–1.53 to –0.38) 0.001 412,110 (339,350 to 484,590) 604.03 (502.02 to 708.93) –0.85 (–1.43 to –0.27) 0.004 770 (590 to 1,040) 1.21 (0.93 to 1.64) –4.74 (–5.37 to –4.11) <0.001
 Central Latin America 5.10 million (4.40 million to 5.81 million) 1,907.85 (1,643.23 to 2,172.87) –0.37 (–0.48 to –0.27) <0.001 2.69 million (2.30 million to 3.06 million) 1,004.5 (858.51 to 1,143.59) –0.37 (–0.54 to –0.21) <0.001 6,430 (5,620 to 7,320) 2.44 (2.13 to 2.78) –3.47 (–3.91 to –3.03) <0.001
 Tropical Latin America 6.52 million (5.65 million to 7.47 million) 2,539 (2,208.26 to 2,904.37) –0.93 (–1.16 to –0.71) <0.001 3.26 million (2.72 million to 3.81 million) 1,277.13 (1,065.61 to 1,490.94) –0.97 (–1.17 to –0.78) <0.001 8,550 (8,200 to 8,890) 3.23 (3.09 to 3.36) –0.97 (–1.4 to –0.54) <0.001
 Caribbean 853730 (734980 to 979280) 1,682.64 (1,439.64 to 1,935.14) 0.09 (–0.16 to 0.34) 0.459 446330 (375550 to 511590) 885.07 (741.85 to 1,017.77) 0.12 (–0.14 to 0.38) 0.376 1,480 (1,240 to 1,720) 2.78 (2.33 to 3.24) 0.02 (–0.63 to 0.68) 0.946
 North Africa and Middle East 2.44 million (1.94 million to 2.98 million) 381.9 (311.1 to 465.2) –0.29 (–0.33 to –0.25) <0.001 1.28 million (1.01 million to 1.56 million) 199.24 (157.49 to 240.04) –0.24 (–0.29 to –0.19) <0.001 700 (430 to 820) 0.12 (0.08 to 0.14) –2.14 (–2.38 to –1.9) <0.001
 South Asia 22.91 million (19.79 million to 26.68 million) 1,244.56 (1,077.21 to 1,441.41) –1.37 (–1.45 to –1.3) <0.001 12.09 million (10.01 million to 14.19 million) 644.52 (536.38 to 756.74) –1.34 (–1.45 to –1.22) <0.001 23,650 (12,040 to 30,210) 1.37 (0.7 to 1.74) –0.31 (–0.46 to –0.16) <0.001
 East Asia 19.82 million (16.99 million to 23.21 million) 1,155.35 (971.48 to 1,350.39) –0.08 (–0.15 to –0.01) 0.022 9.68 million (7.82 million to 11.50 milliion) 580.77 (468.22 to 688.35) –0.02 (–0.08 to 0.05) 0.643 19,310 (9,970 to 25,420) 0.98 (0.51 to 1.29) 0.03 (–0.22 to 0.28) 0.82
 Southeast Asia 5.61 million (4.79 million to 6.52 million) 747.43 (637.59 to 866.79) –0.42 (–0.45 to –0.39) <0.001 2.88 million (2.37 million to 3.37 million) 382.69 (315.23 to 447.8) –0.37 (–0.4 to –0.34) <0.001 9,840 (6,720 to 13,640) 1.3 (0.89 to 1.79) –1.38 (–1.45 to –1.31) <0.001
 Oceania 107220 (86970 to 128610) 855.34 (706.05 to 1,016.9) 0.13 (0.11 to 0.15) <0.001 57,780 (46,800 to 70,060) 451.04 (368.95 to 542.32) 0.12 (0.1 to 0.14) <0.001 100 (50 to 150) 0.92 (0.49 to 1.42) –0.57 (–0.7 to –0.43) <0.001
 Central Sub-Saharan Africa 1.10 million (896280 to 1.32 million) 1,075.46 (895.54 to 1,258.1) –0.02 (–0.08 to 0.04) 0.494 595,510 (481,290 to 723,020) 564.65 (462.74 to 674.22) 0.04 (–0.01 to 0.09) 0.151 1,370 (910 to 1,820) 1.68 (1.12 to 2.21) –0.46 (–0.56 to –0.36) <0.001
 Eastern Sub-Saharan Africa 4.80 million (4.05 million to 5.68 million) 1,509.56 (1,297.8 to 1,731.17) –0.07 (–0.18 to 0.04) 0.236 2.53 million (2.08 million to 3.01 milliion) 760.99 (634.43 to 884.31) –0.02 (–0.09 to 0.05) 0.59 4,220 (3,240 to 5,650) 2.22 (1.76 to 2.88) –0.94 (–1 to –0.88) <0.001
 Southern Sub-Saharan Africa 1.56 million (1.32 million to 1.83 million) 1,956.26 (1,686.57 to 2,285.51) –0.65 (–0.78 to –0.52) <0.001 806,280 (655,030 to 963,410) 989.87 (810.26 to 1,166.9) –0.57 (–0.7 to –0.43) <0.001 830 (590 to 960) 1.22 (0.87 to 1.42) –1.47 (–1.85 to –1.09) <0.001
 Western Sub-Saharan Africa 1.82 million (1.51 million to 2.16 million) 511.9 (434.14 to 593.59) 0.08 (0.05 to 0.11) <0.001 960,750 (776,030 to 1.14 million) 261.28 (216.36 to 302.72) 0.1 (0.07 to 0.12) <0.001 3,650 (2,380 to 4,750) 1.35 (0.87 to 1.76) –0.62 (–0.74 to –0.5) <0.001
S ociodemographic Index
 Low SDI 10.04 million (8.44 million to 11.81 million) 1,181.48 (1,011.32 to 1,369.74) –0.48 (-0.49 to -0.47) <0.001 5.31 million (4.37 million to 6.25 million) 601.52 (500.85 to 695.22) –0.46 (–0.48 to –0.44) <0.001 9,400 (6,340 to 11,780) 1.49 (1.03 to 1.86) –0.76 (–0.86 to –0.65) <0.001
 Low-middle SDI 22.24 million (19.13 million to 25.77 million) 1,208.59 (1,048.55 to 1,386.76) –1.04 (–1.08 to –1) <0.001 11.61 million (9.68 million to 13.53 million) 618.1 (515.84 to 719.74) –1.02 (–1.06 to –0.98) <0.001 31,330 (20,600 to 37,410) 1.85 (1.22 to 2.2) –0.67 (–0.84 to –0.51) <0.001
 Middle SDI 31.35 million (27.02 million to 36.25 million) 1,159.2 (992.08 to 1,343.29) –0.68 (–0.71 to –0.64) <0.001 15.96 million (13.07 million to 18.83 million) 593.72 (488.6 to 695.56) –0.65 (–0.68 to –0.63) <0.001 34,360 (22,640 to 40,340) 1.22 (0.8 to 1.43) –1.29 (–1.45 to –1.12) <0.001
 High-middle SDI 24.68 million (21.63 million to 28.16 million) 1,588.01 (1,373.31 to 1,829.9) –1.24 (–1.33 to –1.15) <0.001 12.01 million (9.98 million to 13.94 million) 795.45 (667.73 to 918.44) –0.87 (–0.94 to –0.8) <0.001 41,750 (38,500 to 45,200) 2.35 (2.16 to 2.54) –4.44 (–5.13 to –3.76) <0.001
 High SDI 22.71 million (20.09 million to 25.56 million) 1,847.63 (1,603.23 to 2,115.44) –0.18 (–0.24 to –0.13) <0.001 10.84 million (9.29 million to 12.27 million) 915.37 (772.84 to 1052.98) –0.13 (–0.17 to –0.1) <0.001 41,410 (40,060 to 42,800) 2.58 (2.5 to 2.66) –0.09 (–0.56 to 0.38) 0.703

APC, annual percent change; ASIR, age-standardized incidence rate; ASDR, age-standardized death rate; ASPR, age-standardized prevalence rate; CI, confidence interval; SDI, sociodemographic index; UI, uncertainty interval.

Table 2.
Prevalence, incidence, death, and age-standardized rates from 2000 to 2021 in patients with alcohol-related liver disease
Characteristics 2021 Prevalence (95% UI) 2021 ASPR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value 2021 Incidence (95% UI) 2021 ASIR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value 2021 Death (95% UI) 2021 ASDR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value
Overall 3.02 million (2.50 million to 3.48 million) 34.81 (28.88 to 40.26) –0.71 (–0.75 to –0.67) <0.001 462,690 (380,020 to 543,250) 5.34 (4.4 to 6.25) –0.84 (–0.87 to –0.82) <0.001 354,250 (299,200 to 418,950) 4.08 (3.45 to 4.81) –1.11 (–1.19 to –1.04) <0.001
Sex
 Female 841,260 (670,230 to 1 million) 18.73 (15.01 to 22.27) –1.05 (–1.14 to –0.96) <0.001 109,810 (87,040 to 131,680) 2.42 (1.91 to 2.9) –1.04 (–1.13 to –0.95) <0.001 77,790 (61,930 to 95,500) 1.7 (1.36 to 2.09) –1.38 (–1.47 to –1.28) <0.001
 Male 2.17 million (1.83 million to 24.99 million) 51.53 (43.47 to 59.11) –0.58 (–0.6 to –0.55) <0.001 352,880 (293,190 to 411,540) 8.46 (7.06 to 9.85) –0.80 (–0.83 to –0.77) <0.001 276,460 (235,400 to 326,210) 6.66 (5.7 to 7.82) –1.04 (–1.13 to –0.96) <0.001
Region
 Central Asia 97,210 (77,030 to 118,290) 105.74 (84.11 to 127.61) 0.88 (0.79 to 0.97) <0.001 16,720 (13,210 to 20,150) 18.56 (14.78 to 22.14) 0.44 (0.32 to 0.56) <0.001 10,180 (8,070 to 12,610) 11.63 (9.26 to 14.28) –0.54 (–1.22 to 0.14) 0.118
 Central Europe 130,840 (110,270 to 150,730) 72.06 (60.9 to 82.59) –0.71 (–0.75 to –0.67) <0.001 18,440 (15,560 to 21,390) 10.15 (8.66 to 11.68) –0.89 (–0.94 to –0.84) <0.001 15,270 (12,780 to 17,670) 7.82 (6.53 to 9.06) –1.02 (–1.48 to –0.56) <0.001
 Eastern Europe 369,190 (306,040 to 435,430) 125.22 (102.77 to 148.78) 0.68 (0.53 to 0.82) <0.001 37,810 (31,270 to 44,170) 13.14 (10.95 to 15.48) 0.47 (0.35 to 0.59) <0.001 32,870 (28,800 to 37,330) 10.65 (9.31 to 12.09) 0.99 (0.58 to 1.41) <0.001
 Australasia 4,780 (3,610 to 6,010) 10.42 (7.86 to 12.99) –0.05 (–0.11 to 0.01) 0.133 670 (520 to 830) 1.47 (1.14 to 1.81) –0.05 (–0.16 to 0.05) 0.323 460 (360 to 580) 0.97 (0.74 to 1.22) –0.3 (–1 to 0.41) 0.407
 High-income Asia Pacific 136,800 (114,860 to 158,080) 40.29 (34.06 to 46.31) –0.84 (–1 to –0.69) <0.001 16,260 (13,800 to 18,770) 4.57 (3.85 to 5.3) –1.5 (–1.57 to –1.42) <0.001 10,960 (9,470 to 12,550) 2.71 (2.36 to 3.1) –2.01 (–2.4 to –1.62) <0.001
 High-income North America 235,560 (193,200 to 282,730) 41.32 (34.04 to 49.33) –0.46 (–0.61 to –0.3) <0.001 29,530 (23,990 to 35,360) 5.24 (4.25 to 6.26) –0.16 (–0.38 to 0.06) 0.149 22,650 (19,810 to 25,610) 3.84 (3.35 to 4.34) 0.74 (0.38 to 1.1) <0.001
 Southern Latin America 28,120 (20,840 to 35,130) 33.65 (25.14 to 42.09) –0.12 (–0.17 to –0.07) <0.001 5,110 (3,840 to 6,360) 6.13 (4.62 to 7.66) –0.35 (–0.38 to –0.33) <0.001 3,190 (2,460 to 3,980) 3.77 (2.9 to 4.67) –1.3 (–1.62 to –0.98) <0.001
 Western Europe 283,400 (234,890 to 328,100) 40.1 (33.58 to 46.45) -1.63 (-1.67 to -1.59) <0.001 38,610 (32,350 to 44,030) 5.29 (4.47 to 6.07) –1.6 (–1.64 to –1.55) <0.001 25,950 (22,530 to 29,550) 3.25 (2.81 to 3.71) –2.4 (–2.85 to –1.95) <0.001
 Andean Latin America 40,600 (32,290 to 48,040) 66.3 (52.52 to 78.67) -0.48 (-0.5 to -0.45) <0.001 7,900 (6,410 to 9,220) 13.06 (10.58 to 15.24) –0.74 (–0.77 to –0.71) <0.001 5,800 (4,350 to 7,560) 9.72 (7.27 to 12.71) –1.17 (–1.73 to –0.6) <0.001
 Central Latin America 189,550 (159,260 to 221,940) 72.3 (60.91 to 84.69) –0.71 (–0.79 to –0.63) <0.001 32,230 (27,340 to 37,320) 12.4 (10.51 to 14.36) –0.66 (–0.76 to –0.55) <0.001 22,040 (18,290 to 25,740) 8.53 (7.08 to 9.96) –1.35 (–1.53 to –1.16) <0.001
 Tropical Latin America 110,900 (94,750 to 128,830) 41.98 (35.92 to 48.78) –1.68 (–1.77 to –1.59) <0.001 19,380 (16,420 to 22,630) 7.36 (6.27 to 8.58) –1.08 (–1.13 to –1.02) <0.001 11,950 (10,880 to 13,120) 4.54 (4.14 to 4.98) –1.71 (–2 to –1.42) <0.001
 Caribbean 25420 (20,370 to 30,560) 47.83 (38.48 to 57.45) –0.16 (–0.2 to –0.12) <0.001 4,660 (3,760 to 5,540) 8.7 (7.05 to 10.32) –0.26 (–0.37 to –0.16) <0.001 3,810 (2,870 to 4,890) 7.09 (5.35 to 9.1) –0.4 (–0.63 to –0.17) <0.001
 North Africa and Middle East 21,330 (14,370 to 29,650) 4.25 (2.88 to 5.84) –0.47 (–0.49 to –0.45) <0.001 5,240 (3,420 to 7,360) 1.16 (0.76 to 1.63) –0.92 (–0.94 to –0.89) <0.001 3,780 (2,480 to 5,420) 0.87 (0.56 to 1.24) –1.88 (–2.02 to –1.74) <0.001
 South Asia 731,440 (611,660 to 853,120) 42.81 (35.98 to 50) 0.1 (0.08 to 0.13) <0.001 119,130 (97,670 to 140,560) 7.49 (6.19 to 8.78) –0.79 (–0.82 to –0.76) <0.001 99,790 (71,750 to 126,470) 6.4 (4.58 to 8.14) –0.96 (–1.16 to –0.77) <0.001
 East Asia 218,170 (170,790 to 269,250) 9.94 (7.96 to 12.11) –0.69 (–0.76 to –0.62) <0.001 26,130 (20,070 to 32,660) 1.19 (0.93 to 1.47) –1 (–1.16 to –0.85) <0.001 15,270 (11,600 to 20,350) 0.69 (0.53 to 0.92) –1.96 (–2.28 to –1.64) <0.001
 Southeast Asia 214,280 (165,730 to 268,700) 29.57 (22.93 to 36.7) –0.61 (–0.68 to –0.55) <0.001 43,210 (33,240 to 54,700) 6.22 (4.91 to 7.73) –0.7 (–0.75 to –0.65) <0.001 39,170 (30,720 to 49,650) 5.74 (4.57 to 7.18) –1.13 (–1.22 to –1.04) <0.001
 Oceania 1,270 (860 to 1,700) 12.51 (8.63 to 17.01) –0.29 (–0.3 to –0.27) <0.001 220 (150 to 310) 2.38 (1.66 to 3.19) –0.27 (–0.28 to –0.26) <0.001 150 (100 to 230) 1.68 (1.12 to 2.43) –0.73 (–0.92 to –0.55) <0.001
 Central Sub-Saharan Africa 23,070 (15,990 to 30,980) 32.45 (22.45 to 43.3) 0.16 (0.14 to 0.18) <0.001 5,610 (3,850 to 7,530) 8.62 (5.95 to 11.41) –0.55 (–0.6 to –0.5) <0.001 5,270 (3,170 to 7,880) 8.12 (5.04 to 12.01) –0.89 (–0.98 to –0.81) <0.001
 Eastern Sub-Saharan Africa 67,410 (51,660 to 85,310) 33.55 (25.32 to 42.15) –0.73 (–0.83 to –0.62) <0.001 16,610 (12,460 to 21,030) 9.07 (6.81 to 11.45) –1.02 (–1.08 to –0.97) <0.001 12,190 (8,840 to 16,100) 6.83 (5.04 to 8.81) –1.56 (–1.62 to –1.5) <0.001
 Southern Sub-Saharan Africa 11,390 (8,970 to 13,950) 17.05 (13.44 to 20.89) –1.78 (–1.92 to –1.64) <0.001 2,280 (1,760 to 2,830) 3.64 (2.81 to 4.49) –1.67 –1.82 to –1.53) <0.001 2,200 (1,740 to 2,810) 3.57 (2.85 to 4.43) –1.59 (–1.95 to –1.23) <0.001
 Western Sub-Saharan Africa 75,090 (58,350 to 93,150) 31.09 (24.31 to 38.35) -0.77 (–0.81 to –0.74) <0.001 16,940 (12,820 to 21,330) 7.87 (6.1 to 9.82) –1.12 (–1.15 to –1.09) <0.001 11,270 (7,850 to 15,060) 5.44 (3.9 to 7.23) –1.69 (–1.75 to –1.63) <0.001
Sociodemographic Index
 Low SDI 204,870 (163,690 to 247,790) 32.68 (25.66 to 39.5) –0.45 (–0.49 to –0.4) <0.001 43,410 (33,580 to 53,810) 7.79 (6.1 to 9.66) –0.99 (–1.02 to –0.95) <0.001 32,310 (24,340 to 42,400) 5.94 (4.43 to 7.78) –1.5 (–1.69 to –1.31) <0.001
 Low-middle SDI 614,500 (507,620 to 717,410) 37.22 (30.77 to 43.37) –0.1 (–0.12 to –0.08) <0.001 111,510 (90,630 to 132,280) 7.2 (5.89 to 8.55) –0.65 (–0.69 to –0.61) <0.001 90,030 (66,550 to 112,990) 5.93 (4.38 to 7.5) –1.02 (–1.18 to –0.86) <0.001
 Middle SDI 823,020 (682,750 to 959,110) 29.21 (24.35 to 33.91) –0.25 (–0.29 to –0.21) <0.001 137,380 (112,880 to 161,390) 4.94 (4.09 to 5.8) –0.57 (–0.59 to –0.54) <0.001 103,870 (89,660 to 119,900) 3.76 (3.25 to 4.34) –1.01 (–1.11 to –0.91) <0.001
 High-middle SDI 692,370 (575,750 to 800,000) 37.55 (31.32 to 43.45) –1.03 (–1.11 to –0.94) <0.001 84,640 (70,840 to 98,220) 4.58 (3.85 to 5.31) –1.28 (–1.34 to –1.23) <0.001 66,100 (58,180 to 75,450) 3.46 (3.05 to 3.94) –1.4 (–1.64 to –1.17) <0.001
 High SDI 677,590 (562,080 to 778,640) 39.37 (32.74 to 45.26) –1.03 –1.09 to –0.97) <0.001 85,200 (71,430 to 98,880) 4.9 (4.11 to 5.7) –1.06 (–1.12 to –0.99) <0.001 61,500 (53,800 to 69,540) 3.33 (2.92 to 3.75) –1.2 (–1.44 to –0.96) <0.001

APC, annual percent change; ASIR, age-standardized incidence rate; ASDR, age-standardized death rate; ASPR, age-standardized prevalence rate; CI, confidence interval; SDI, sociodemographic index; UI, uncertainty interval.

Table 3.
Prevalence, incidence, deaths, age-standardized rates, and changes from 2000 to 2021 in patients with alcohol-attributable primary liver cancer
Characteristics 2021 Prevalence (95% UI) 2021 ASPR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value 2021 Incidence (95% UI) 2021 ASIR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value 2021 Death (95% UI) 2021 ASDR per 100,000 (95% UI) 2000 to 2021 APC (95% CI) P-value
Overall 132,030 (107,260 to 159,050) 1.51 (1.23 to 1.82) 0.59 (0.52 to 0.67) <0.001 99,540 (80,960 to 120,400) 1.14 (0.93 to 1.38) 0.26 (0.22 to 0.3) <0.001 92,230 (75,050 to 112,160) 1.06 (0.86 to 1.29) 0.08 (–0.06 to 0.21) <0.001
Sex
 Female 26,400 (21,110 to 32,300) 0.57 (0.46 to 0.7) 0.44 (0.35 to 0.53) <0.001 21,610 (17,130 to 26,520) 0.47 (0.37 to 0.57) 0.22 (0.12 to 0.32) <0.001 20,960 (16,640 to 25,770) 0.45 (0.36 to 0.56) 0.06 (–0.25 to 0.36) <0.001
 Male 105,630 (87,080 to 126,660) 2.56 (2.1 to 3.06) 0.63 (0.56 to 0.69) <0.001 77,930 (64,120 to 94,160) 1.91 (1.57 to 2.29) 0.24 (0.21 to 0.27) <0.001 71,270 (58,190 to 86,610) 1.77 (1.45 to 2.13) 0.06 (–0.03 to 0.15) <0.001
Region
 Central Asia 1,530 (1,070 to 2,130) 1.75 (1.22 to 2.35) –0.39 (–0.59 to –0.19) <0.001 1,420 (990 to 1,940) 1.69 (1.17 to 2.28) –0.39 (–0.49 to –0.28) <0.001 1,480 (1,030 to 2,020) 1.79 (1.23 to 2.41) –0.36 (–0.59 to –0.12) <0.001
 Central Europe 2,810 (2,290 to 3,320) 1.3 (1.06 to 1.54) 0.94 (0.88 to 1) <0.001 2,690 (2,180 to 3,160) 1.21 (0.99 to 1.42) 0.78 (0.73 to 0.83) <0.001 2,840 (2,300 to 3,340) 1.26 (1.03 to 1.49) 0.73 (0.12 to 1.35) <0.001
 Eastern Europe 3,170 (2,720 to 3,630) 0.92 (0.79 to 1.05) 0.99 (0.74 to 1.24) <0.001 2,970 (2,560 to 3,380) 0.85 (0.73 to 0.97) 0.86 (0.63 to 1.1) <0.001 3,100 (2,690 to 3,540) 0.88 (0.76 to 1) 0.77 (–0.11 to 1.65) <0.001
 Australasia 1,840 (1,480 to 2,250) 3.77 (3.03 to 4.61) 3.52 (3.24 to 3.8) <0.001 1,180 (940 to 1,460) 2.32 (1.87 to 2.86) 2.79 (2.54 to 3.04) <0.001 1,010 (800 to 1,260) 1.92 (1.53 to 2.37) 2.47 (1.79 to 3.15) <0.001
 High-income Asia Pacific 13,960 (10,850 to 17,640) 3.31 (2.57 to 4.27) –1.06 (–1.22 to –0.91) <0.001 7,350 (5,720 to 9,220) 1.68 (1.29 to 2.14) –2.02 (–2.2 to –1.83) <0.001 5,530 (4,360 to 6,970) 1.21 (0.94 to 1.54) –2.58 (–2.77 to –2.39) <0.001
 High-income North America 17,500 (15,260 to 19,800) 2.82 (2.47 to 3.19) 2.72 (2.58 to 2.86) <0.001 11,470 (10,000 to 13,010) 1.78 (1.56 to 2.01) 2.46 (2.32 to 2.6) <0.001 9,030 (7,840 to 10,210) 1.37 (1.2 to 1.55) 2.3 (1.87 to 2.73) <0.001
 Southern Latin America 490 (370 to 640) 0.57 (0.42 to 0.74) 3.46 (3.32 to 3.6) <0.001 460 (330 to 590) 0.52 (0.39 to 0.68) 3.26 (3.03 to 3.5) <0.001 470 (340 to 620) 0.54 (0.39 to 0.7) 3.09 (2.74 to 3.45) <0.001
 Western Europe 26,260 (21,410 to 31,250) 3.1 (2.54 to 3.7) 1.39 (1.24 to 1.55) <0.001 17,010 (13,720 to 20,240) 1.91 (1.57 to 2.29) 0.66 (0.56 to 0.75) <0.001 14,940 (12,000 to 17,970) 1.62 (1.31 to 1.93) 0.31 (0.07 to 0.55) <0.001
 Andean Latin America 430 (300 to 610) 0.74 (0.52 to 1.05) 1.71 (1.46 to 1.96) <0.001 420 (300 to 600) 0.73 (0.51 to 1.03) 1.67 (1.4 to 1.93) <0.001 460 (320 to 650) 0.79 (0.54 to 1.12) 1.71 (1.09 to 2.34) <0.001
 Central Latin America 1,950 (1,560 to 2,400) 0.77 (0.62 to 0.94) 1.76 (1.63 to 1.89) <0.001 1,850 (1,480 to 2,260) 0.74 (0.59 to 0.91) 1.69 (1.57 to 1.82) <0.001 1,960 (1,570 to 2,410) 0.79 (0.63 to 0.98) 1.56 (1.4 to 1.72) <0.001
 Tropical Latin America 1,540 (1,320 to 1,770) 0.59 (0.51 to 0.67) 1.01 (0.72 to 1.3) <0.001 1,440 (1,240 to 1,650) 0.55 (0.48 to 0.64) 0.97 (0.82 to 1.13) <0.001 1,510 (1,310 to 1,730) 0.59 (0.51 to 0.67) 0.93 (0.19 to 1.68) <0.001
 Caribbean 330 (240 to 420) 0.61 (0.46 to 0.78) 0.38 (0.29 to 0.48) <0.001 310 (230 to 390) 0.57 (0.42 to 0.73) 0.25 (0.15 to 0.36) <0.001 320 (240 to 410) 0.6 (0.44 to 0.76) 0.27 (–0.15 to 0.7) <0.001
 North Africa and Middle East 2,420 (1,630 to 3,540) 0.51 (0.34 to 0.74) 1.18 (1.12 to 1.24) <0.001 2,210 (1,460 to 3,230) 0.49 (0.33 to 0.7) 1.08 (1.03 to 1.13) <0.001 2,280 (1,510 to 3,300) 0.51 (0.34 to 0.73) 0.93 (0.63 to 1.23) <0.001
 South Asia 11,220 (9,230 to 13,690) 0.72 (0.59 to 0.87) 1.5 (1.44 to 1.56) <0.001 10,410 (8,550 to 12,600) 0.69 (0.57 to 0.83) 1.54 (1.45 to 1.63) <0.001 10,840 (8,940 to 13,210) 0.73 (0.6 to 0.88) 1.6 (1.33 to 1.88) <0.001
 East Asia 26,880 (19,990 to 35,680) 1.19 (0.89 to 1.58) 0.97 (0.8 to 1.14) <0.001 20,950 (15,630 to 27,790) 0.93 (0.7 to 1.23) 0.35 (0.17 to 0.53) <0.001 18,770 (14,020 to 24,880) 0.84 (0.64 to 1.11) –0.23 (–0.99 to 0.53) 0.547
 Southeast Asia 12,870 (9,200 to 18,440) 1.82 (1.31 to 2.55) 0.39 (0.35 to 0.44) <0.001 11,140 (8,040 to 15,660) 1.63 (1.19 to 2.29) 0.2 (0.15 to 0.25) <0.001 11,160 (8,080 to 15,720) 1.67 (1.22 to 2.35) 0.17 (0.03 to 0.31) 0.017
 Oceania 40 (20 to 70) 0.43 (0.23 to 0.88) –0.76 (–0.83 to –0.68) <0.001 30 (20 to 60) 0.41 (0.22 to 0.85) –0.83 (–0.9 to –0.75) <0.001 30 (20 to 70) 0.43 (0.23 to 0.89) –0.88 (–1.06 to –0.71) <0.001
 Central Sub-Saharan Africa 470 (190 to 1010) 0.74 (0.29 to 1.69) –0.74 (–0.83 to –0.66) <0.001 420 (170 to 920) 0.71 (0.29 to 1.7) –0.83 (–0.92 to –0.74) <0.001 430 (170 to 970) 0.76 (0.3 to 1.87) –0.83 (–0.96 to –0.7) <0.001
 Eastern Sub-Saharan Africa 1,990 (1,340 to 2,890) 1.08 (0.73 to 1.55) –1.09 (–1.17 to –1.01) <0.001 1,840 (1,240 to 2,650) 1.06 (0.72 to 1.58) –1.19 (–1.27 to –1.12) <0.001 1,910 (1,280 to 2,760) 1.14 (0.76 to 1.69) –1.19 (–1.27 to –1.11) <0.001
 Southern Sub-Saharan Africa 990 (780 to 1,250) 1.58 (1.25 to 1.99) –1.44 (–1.67 to –1.21) <0.001 910 (720 to 1,150) 1.53 (1.21 to 1.91) –1.44 (–1.61 to –1.27) <0.001 950 (750 to 1,190) 1.63 (1.29 to 2.03) –1.38 (–1.59 to –1.18) <0.001
 Western Sub-Saharan Africa 3,340 (2,380 to 4,510) 1.56 (1.14 to 2.1) –1.31 (–1.45 to –1.18) <0.001 3,070 (2,210 to 4,140) 1.54 (1.13 to 2.05) –1.32 (–1.45 to –1.18) <0.001 3,200 (2,330 to 4,300) 1.66 (1.22 to 2.19) –1.25 (–1.35 to –1.15) <0.001
Sociodemographic Index
 Low SDI 5,310 (3,800 to 7,260) 0.97 (0.7 to 1.33) –0.88 (–0.97 to –0.8) <0.001 4,910 (3,530 to 6,700) 0.95 (0.69 to 1.29) –0.94 (–1.03 to –0.86) <0.001 5,120 (3,700 to 7,020) 1.02 (0.74 to 1.4) –0.93 (–1.09 to –0.76) <0.001
 Low-middle SDI 12,040 (9,610 to 15,440) 0.79 (0.63 to 1.02) 0.93 (0.89 to 0.97) <0.001 11,130 (8,890 to 14,390) 0.75 (0.6 to 0.97) 0.9 (0.85 to 0.94) <0.001 11,580 (9,280 to 14,970) 0.8 (0.64 to 1.02) 0.89 (0.7 to 1.09) <0.001
 Middle SDI 34,290 (26,800 to 43,890) 1.22 (0.96 to 1.55) 0.96 (0.89 to 1.04) <0.001 29,130 (22,880 to 36,860) 1.05 (0.84 to 1.32) 0.61 (0.53 to 0.69) <0.001 28,330 (22,390 to 35,630) 1.04 (0.83 to 1.29) 0.35 (0.18 to 0.52) <0.001
 High-middle SDI 24,460 (19,550 to 29,820) 1.23 (0.99 to 1.5) 0 (–0.08 to 0.09) 0.963 19,600 (15,810 to 23,680) 0.98 (0.79 to 1.18) –0.37 (–0.47 to –0.26) <0.001 18,540 (15,110 to 22,320) 0.92 (0.76 to 1.11) –0.58 (–0.83 to –0.32) <0.001
 High SDI 55,840 (46,490 to 65,540) 2.82 (2.37 to 3.32) 1.1 (1.05 to 1.16) <0.001 34,690 (28,970 to 40,960) 1.7 (1.42 to 1.99) 0.56 (0.51 to 0.62) <0.001 28,570 (23,770 to 33,860) 1.36 (1.13 to 1.61) 0.27 (0.06 to 0.48) 0.011

APC, annual percent change; ASIR, age-standardized incidence rate; ASDR, age-standardized death rate; ASPR, age-standardized prevalence rate; CI, confidence interval; SDI, sociodemographic index; UI, uncertainty interval.

Abbreviations

ALD
alcohol-related liver disease
APC
annual percent change
ASDR
age-standardized death rate
ASIR
age-standardized incidence rate
ASPR
age-standardized prevalence rate
ASR
age-standardized rates
AUD
alcohol use disorder
CI
confidence interval
COVID-19
Coronavirus Disease 2019
GBD
Global Burden of Disease
GHDx
Global Health Data Exchange
HCC
hepatocellular carcinoma
ICD-10
International Classification of Diseases
SDI
sociodemographic index
UI
uncertainty interval
USA
United States of America

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ORCID iDs

Pojsakorn Danpanichkul
https://orcid.org/0000-0002-9121-165X

Luis Antonio Díaz
https://orcid.org/0000-0002-8540-4930

Kanokphong Suparan
https://orcid.org/0000-0002-6853-7387

Primrose Tothanarungroj
https://orcid.org/0009-0006-1551-7602

Supapitch Sirimangklanurak
https://orcid.org/0009-0003-5341-1073

Thanida Auttapracha
https://orcid.org/0000-0001-7726-5814

Hanna L. Blaney
https://orcid.org/0000-0003-4919-9519

Banthoon Sukphutanan
https://orcid.org/0009-0002-1288-7393

Yanfang Pang
https://orcid.org/0009-0005-3872-9475

Siwanart Kongarin
https://orcid.org/0009-0005-5966-0809

Francisco Idalsoaga
https://orcid.org/0000-0001-5607-0698

Eduardo Fuentes-López
https://orcid.org/0000-0002-0141-0226

Lorenzo Leggio
https://orcid.org/0000-0001-7284-8754

Mazen Noureddin
https://orcid.org/0000-0003-2127-2040

Trenton M. White
https://orcid.org/0000-0002-0633-4445

Alexandre Louvet
https://orcid.org/0000-0002-5293-007X

Philippe Mathurin
https://orcid.org/0000-0003-3447-2025

Rohit Loomba
https://orcid.org/0000-0002-4845-9991

Patrick S. Kamath
https://orcid.org/0000-0002-7888-1165

Jürgen Rehm
https://orcid.org/0000-0001-5665-0385

Jeffrey V. Lazarus
https://orcid.org/0000-0001-9618-2299

Karn Wijarnpreecha
https://orcid.org/0000-0002-0871-9963

Juan Pablo Arab
https://orcid.org/0000-0002-8561-396X

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