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Revista colombiana de Gastroenterología

versão impressa ISSN 0120-9957versão On-line ISSN 2500-7440

Rev. colomb. Gastroenterol. vol.38 no.1 Bogotá jan./mar. 2023  Epub 05-Jun-2023

https://doi.org/10.22516/25007440.916 

Original article

The Burden of Gastric Cancer Disease from 2010 to 2019 in Tunja, Boyacá, Colombia

Clara Patricia Barreto-Noratto1  * 
http://orcid.org/0000-0002-8606-7163

Luis Manuel Limas-Solano2 
http://orcid.org/0000-0001-5818-9596

Alexandra Porras-Ramírez3 
http://orcid.org/0000-0002-0800-1388

Alejandro Rico-Mendoza3 
http://orcid.org/0000-0002-4291-6135

1Professor, Universidad Pedagógica y Tecnológica de Colombia. Tunja, Boyacá, Colombia.

2Gastroenterology Service , Hospital San Rafael de Tunja. Tunja, Boyacá, Colombia.

3Master of Epidemiology, Universidad El Bosque. Bogotá, Colombia.


Abstract

Introduction:

Gastric cancer (GC) is the first cause of death by neoplasm in Colombia, with 6,451 deaths in 2020. This pathology and its chronic manifestations pose a public health challenge. The objective is to estimate the disease burden of GC in Tunja, Boyacá, from 2010 to 2019.

Materials and methods:

An exploratory ecological study was conducted using disability-adjusted life years (DALYs) as the unit of measurement. The National Administrative Department of Statistics (DANE) mortality databases and prevalence information from the Integrated Social Protection Information System (SISPRO) records were used. Deaths and GC cases were pooled and then adjusted to control for bias.

Results:

In 2010-2019, 34.2 DALYs were lost for every 1,000 people secondary to GC in Tunja, 30.5 were due to years lost due to premature death, and 3.72 were due to years lived with disability. DALYs due to premature death were found to exceed DALYs due to disability.

Conclusion:

The morbidity burden of GC from 2010 to 2019 for Tunja was similar to that of other cancers because of years of life lost due to premature death, so public health efforts should be made to increase early detection.

Keywords: Gastric cancer; incidence; mortality; disability-adjusted life years

Resumen

Introducción:

el cáncer gástrico (CG) es la primera causa de muerte por neoplasia en Colombia, con 6451 muertes durante el 2020. Esta patología y sus manifestaciones crónicas plantean un desafío en la salud pública. El objetivo fue estimar la carga de enfermedad por CG en Tunja, Boyacá, durante los años 2010 a 2019.

Metodología:

se realizó un estudio ecológico exploratorio en el que se utilizó como unidad de medida los años de vida ajustados por discapacidad (AVAD). Se emplearon las bases de datos de mortalidad del Departamento Administrativo Nacional de Estadística (DANE) e información de la prevalencia desde los registros del Sistema Integrado de Información de la Protección Social (SISPRO). Las muertes y los casos de CG se agruparon y luego se ajustaron para controlar sesgos.

Resultados:

en el período 2010-2019 se perdieron 34,2 AVAD por cada 1000 personas secundarios a CG en Tunja, de los cuales 30,5 fueron debido a años perdidos por muerte prematura y 3,72 por años vividos con discapacidad. Se encontró que los AVAD por muerte prematura superan a los AVAD por discapacidad.

Conclusión:

la carga de morbilidad por CG en el período 2010 a 2019 para la ciudad de Tunja fue similar a la carga de otros cánceres y fue debido a años de vida perdidos por muerte prematura, motivo por el cual se deben realizar esfuerzos de salud pública para aumentar la detección temprana.

Palabras clave: Cáncer gástrico; incidencia; mortalidad; años de vida ajustados por discapacidad

Introduction

Gastric cancer (GC) is a global health concern that, despite an overall decrease since 1975, still occurs more frequently in men and people over 65 years of age.1 As of 2020, it ranked fifth worldwide in incidence and fourth in mortality, with 768,793 cases.2 In Colombia, the incidence was 8214 cases (7.3%) in the same year, making it the primary cause of death from neoplastic diseases, with 6451 deaths (11.7%).2 This condition usually presents asymptomatically and is often diagnosed in Colombia at an advanced stage with limited treatment options.3

In Colombia, gastric cancer (GC) causes fewer years of life potentially lost than in other countries with similar incidence rates.4 Boyacá is considered a high-risk area, along with other regions like Nariño, with mortality rates of 13.38 and 15.72 deaths per 100,000 inhabitants, respectively, in 2014.5,6 As of 2021, both departments continued to have mortality rates above the national average of 5.26 deaths per 100,000.7

The burden of disease attributable to neoplasms during 2020 accounted for 0.75% of the total disability-adjusted life years (DALYs) worldwide, corresponding to 4,581,860 DALYs. Among neoplasms, GC contributed to 0.04% of the global burden of disease, representing 246,437 DALYs. In Colombia,8 the survival rate for GC during the 2010-2014 period was between 15.4% and 18.8%, significantly lower than the US average of 33.6% for a 5-year survival rate.9 In some municipalities such as Bucaramanga (Santander), the 5-year survival rate for GC is as low as 11%,10 highlighting the magnitude of the problem at the national level.

Previous studies have examined the burden of disease in Colombia, including those focused on GC.4,11,12 However, given the unique characteristics of the Altiplano Cundiboyacense, a high plateau in the Eastern Andes Mountain Range, and Tunja (Boyacá), the highest capital city in Colombia with 179,263 residents, there is a need to investigate the burden of disease associated with secondary disability to GC in this high-risk population. While this study will not determine the prevalence of Helicobacter pylori in the city, the American Institute for Cancer Research has identified other factors, such as dietary habits (including salting of foods and low fruit consumption) and high alcohol consumption, which are prevalent in the department of Boyacá,16 and may increase the risk of developing GC.14,15

It is worth noting that 95.6%13 of Tunja’s population resides in urban areas, and the city is situated at an altitude of 2775 meters above sea level.17 According to some studies,18,19 living at an altitude above 2000 meters could contribute to the development of GC.

This study aims to estimate the burden of GC in Tunja, Colombia, measured in DALYs, using prevalence data from the Ministry of Health and Social Protection and the methodology established by the World Health Organization (WHO).

Methodology

Type of Study

This is an exploratory ecological study on disease burden, which aims to estimate the potential years of life lost due to secondary disability to GC in Tunja, Boyacá, for the period from 2010 to 2019.

Source of Information

The study obtained information on GC mortality from the National Administrative Department of Statistics (DANE) and prevalence information from the Integrated Social Protection Information System (SISPRO) records. The Ministry of Health and Social Protection of Colombia centralizes the Individual Registry of Health Service Provision (RIPS), which is the main source of SISPRO.

Data from Tunja between 2010 to 2019 were collected to conduct the analysis, including GC-related International Classification of Diseases (ICD-10) codes from C160 to C169. These codes represent malignant tumors of various stomach parts, such as the cardia, gastric fundus, antrum pyloric, pylorus, and other regions not specified. We then identified patients with the main diagnosis codes for GC, categorized by sex, life cycle, report year, and residence in Tunja. To determine the prevalence of GC, the population denominator was obtained from DANE records,20 which were grouped by life cycles per year.

Population at Risk

To define the population at risk for this study, we focused on the inhabitants of Tunja as people living in areas with a high prevalence of GC in Colombia are mainly located in the departments of Quindío, Cauca, Nariño, and Boyacá.

Ethical Considerations

This research adhered to the principles outlined in the Declaration of Helsinki21 and Resolution 843022 of Colombia’s Ministry of Health and Social Protection. As a retrospective documentary study, it was deemed risk-free research.

Data analysis

DALYs were calculated using the WHO methodology, which involves adding together the YLL (years of life lost to premature death) and YLD (years lived with disability) measures. YLL indicates mortality attributable to the disease, while YLD indicates disease morbidity. The collected data from DANE and SISPRO were then organized into spreadsheets in MS Excel 365 for analysis. For the YLD calculation, we considered the weight per disability provided by the 2010 burden of disease study.23,24 However, we opted to use the weight per disability suggested by the expert panel in a previous study4 due to its applicability to the region. This study calculated a weighted weight of 0.278 for the time lived with GC in Colombia. We used a life expectancy at birth of 82.4 years for both men and women, and the expectation for each age range without discount rate or adjustment for age was used according to the five-year period.23 Finally, we obtained the DALYs using the WHO staff25 to calculate the burden of disease.

Results

Based on the RIPS (Individual Health Service Provision Records) collected from 2010 to 2019, 583 patients with confirmed GC diagnosis were treated in Tunja, comprising 51.5% men and 48.5% women (Table 1).

Table 1 People treated with GC diagnosis by age group and sex in Tunja from 2010 to 2019 

Age Female Male Total
5-14 1 0 1
15-29 5 4 9
30-44 39 20 59
45-59 79 69 148
60-69 59 80 139
70-79 67 78 145
80+ 33 49 82
Total 283 300 583

Source: Author’s own research, based on information obtained from the RIPS, centralized by the Ministry of Health and Social Protection.

For the population aged over 30 years, the estimated 10-year prevalence of GC was 7.6 per 1000 men and 6.1 per 1000 women (Table 2).

Table 2 Prevalence of GC per 1000 inhabitants in men and women by life cycle f in Tunja from 2010 to 2019 

Life Cycle Men Women Total
Population Cases Prevalence Population Cases Prevalence Población Cases Prevalence
5-14 137 625 0 0 137 625 1 0.007 275 250 1 0.003
15-29 260 514 4 0.015 260 514 5 0.019 521 028 9 0.017
30-44 214 729 20 0.093 214 729 39 0.181 429 458 59 0.137
45-59 166 670 69 0.414 166 670 79 0.474 333 340 148 0.444
60-69 62 729 80 1.276 62 729 59 0.940 125 458 139 1.108
70-79 29 287 78 2.666 29 287 67 2.290 58 574 145 2.478
80+ 15 275 49 3.213 15 275 33 2.162 30 550 82 2.687
Total 886 829 300 7.678 886 829 283 6.076 1 773 658 583 6.877

Source: Author’s own research, based on information obtained from the RIPS, centralized by the Ministry of Health and Social Protection.

Over the course of the decade under study, 79% of the GC diagnoses occurred in individuals between the ages of 45 and 79.

As for the estimated incidence (Table 3), cases increased during the life cycles of individuals aged 60 to 79. A total of 249 deaths were identified across six age groups: 15 to 29, 30 to 44, 45 to 59, 60 to 69, 70 to 79, and 80 or older. We calculated the YLL per 1000 inhabitants for these deaths using this data.

Table 3 Estimated incidence per 1000 inhabitants between 2010 and 2019 of GC in men and women per life cycle in Tunja 

Incidence 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
15-29 0.000 - 0.046 - - 0.045 - - 0.043 -
30-44 0.000 0.065 0.063 - 0.179 0.117 - - 0.055 0.054
45-59 0.000 0.001 0.367 0.179 0.436 - 0.083 0.728 0.079 0.386
60-69 - 0.002 - 1.239 0.940 2.232 - 1.019 1.364 1.107
70-79 0.005 3.521 - - 2.615 - - 0.002 1.412 2.660
> 80 3.130 0.006 - 4.819 2.326 1.124 0.002 5.371 6.309 -

Source: Author’s own research, based on information obtained from the RIPS, centralized by the Ministry of Health and Social Protection.

We calculated the number of years of life lost due to premature death caused by GC and found that men had a higher frequency of years lost compared to women (Figure 1).

Figure 1 Years of life lost due to premature death secondary to GC according to sex in Tunja between 2010 and 2019 (per 1000 inhabitants). Source: Author’s own research. 

Using the average reported disease survival rates for Colombia, the total DALYs were calculated by considering cases from each age group.10 Over the 2010-2019 period, the population of Tunja lost 34.2 DALYs per 1000 individuals as a result of GC, with a rate of 1.7/1000 inhabitants. Disability losses accounted for 10.9% of DALYs. The age group with the highest DALYs was 45-59 years, contributing to 34% of the total, followed by the 60-69 age group with 27.4% (Table 4).

Table 4 Distribution of YLL, YLD, and DALY by GC in Tunja, according to year (rates per 1000 inhabitants) 

Year YLL YLD DALY
Men Women Men Women Men Women
2019 1.7 1.64 0.3 -0.01 2.0 1.6
2018 1.7 0.59 0.3 0.42 2.0 1.0
2017 1.4 1.86 -0.1 0.11 1.3 2.0
2016 2.5 1.46 0.3 -0.16 2.8 1.3
2015 1.5 1.56 0.2 0.28 1.7 1.8
2014 0.6 0.91 0.2 0.03 0.9 0.9
2013 2.1 0.13 -0.1 -0.06 1.9 0.1
2012 1.2 1.60 0.5 0.36 1.7 2.0
2011 1.8 0.45 0.2 0.22 2.1 0.7
2010 3.2 2.61 0.6 0.10 3.8 2.7
Total 17.7 12.8 2.4 1.3 20.1 14.1

Source: Author’s own research.

Discussion

GC is a significant contributor to morbidity and mortality rates in many parts of the world, with Asia and Central and South America experiencing the highest incidence and mortality rates. It is projected that there will be an 80% increase in its epidemiological behavior worldwide by 2030.1,26 In Colombia, it was the leading cause of death from neoplasms in 20202 and the third most common cancer in terms of incidence.27 Despite this, screening and early detection plans have been limited, particularly when compared to other prioritized cancers like cervical, breast, or prostate cancer. Moreover, screening plans have been further restricted due to the global impact of the severe acute respiratory syndrome coronavirus pandemic type 2 (SARS-CoV-2).28 Therefore, this study aims to describe the burden of GC disease in Tunja over a decade based on official records, contributing to similar studies with comparable characteristics, as it is a high-land Colombian city with risk factors16,29 typical of other municipalities with high or comparable mortality rates from GC.

Neoplasms are ranked as the second-highest cause of disease burden worldwide,30 with variations in prevalence depending on geographic location. For example, in Korea, the estimated DALY for GC between 2000-2020 was 445/100,000,24 while in nearby Mexico, it was 80/100,000 for men and 85.7/100,000 for women31 from 2010 to 2014. In Colombia, the DALY was 172.7/100,000 in 20174 and 131.5/100,000 in 2006 in Santander.32 In our study, the rate was found to be 170/100,000 inhabitants, which is consistent with the last reported figures in the country.4 Sierra et al.26 have also reported Colombia and South America as areas with high incidence and mortality due to GC worldwide, and our results validate the burden of secondary disability caused by GC in our region.

The authors of this study originally hypothesized a higher DALY due to GC in Tunja, Boyacá; however, the results showed 34.2 years of life lost during the studied decade, with a predominance of age between 45 and 59 years and a life expectancy of 82.4 years according to WHO and 77 years according to DANE.33 This is noteworthy since- even though 89.1% of DALY was due to YLL (data consistent with the literature worldwide)-33,34) the population described in this study is younger and predominantly female, which differs from that reported in other research at departmental,35 national,4 and global36 levels, and may correspond to an information bias due to the data obtained from official secondary sources (SISPRO), which depend on satisfactory completion or diagnosis by the physician according to ICD-10. Nonetheless, despite the possible under-registration of SISPRO, this study found a higher prevalence of GC than predicted by the Global Cancer Observatory (GLOBOCAN) in 2020 for Colombia, with 22.82 cases per 100,000 inhabitants.27

These results offer valuable quantitative evidence that can be utilized to establish, prioritize, and assess public policies aimed at preventing and diagnosing gastric tumors at an early stage. Therefore, we recommend that the methods used in cities with long-term population registries, such as Bucaramanga and Cali, be employed in the department of Boyacá and Tunja to estimate and carry out continuous and descriptive evaluations of the affected population.

Conclusions

Tunja exhibited incidences akin to those reported by Triana JJ et al., Amaya Lara et al., Arias Sosa et al., and Caicedo A et al. Nevertheless, the disease burden detected in this study was primarily attributed to years of life lost due to premature death (89.1%). This underscores the pressing need to focus on screening, early diagnosis, periodic follow-up, early initiation of treatment, and population registry creation to enhance patient prognosis.

Acknowledgments:

To Dr. Javier Alejandro Narváez González for his technical assistance.

Referencias

1. Etemadi A, Safiri S, Sepanlou SG, Ikuta K, Bisignano C, Shakeri R, et al. The global, regional, and national burden of stomach cancer in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease study 2017. Lancet Gastroenterol Hepatol. 2020;5(1):42-54. https://doi.org/10.1016/S2468-1253(19)30328-0Links ]

2. Estimated number of new cases in 2020, world, both sexes, all ages [Internet]. International Agency for Research/World Health Organization (IARC/WHO); 2021 [consultado el 15 de abril de 2021]. Disponible en: Disponible en: https://gco.iarc.fr/today/online-analysis-pie?v=2020&mode=cancer&mode_population=continents&population=900&populations=900&key=total&sex=0&cancer=39&type=0&statistic=5&prevalence=0&population_group=0&ages_group%5B%5D=0&ages_group%5B%5D=17&nb_items=7&groupLinks ]

3. Oliveros R, Morales REP, Navia HF, Pedraza RS. Cáncer gástrico: una enfermedad prevenible. Estrategias para intervención en la historia natural. Rev Colomb Gastroenterol. 2019;34(2):177-89. https://doi.org/10.22516/25007440.394Links ]

4. Triana JJ, Aristizábal-Mayor JD, Plata MC, Medina M, Baquero L, Gil-Tamayo S, et al. Disease Burden of Gastric Cancer in Disability-Adjusted Life Years in Colombia. Rev Colomb Gastroenterol. 2017;32(4):326-31. https://doi.org/10.22516/25007440.175Links ]

5. Fondo Colombiano de Enfermedades de Alto Costo, Cuenta de Alto Costo (CAC). Cáncer de estómago CIE10:C16 CIE-O-3:C16. En: Situación del cáncer en la población adulta atendida en el SGSSS de Colombia 2019 [Internet]. Cuenta de Alto Costo; 2020. p. 148-72 [consultado el 13 de julio de 2021]. Disponible en: Disponible en: https://cuentadealtocosto.org/site/wp-content/uploads/2020/09/CANCER2019COM-3.pdfLinks ]

6. Observatorio Nacional de Cáncer. Guía metodológica. Ministerio de Salud y Protección Social, ONC Colombia; 2018. [ Links ]

7. Fondo Colombiano de Enfermedades de Alto Costo, Cuenta de Alto Costo (CAC). Situación del cáncer en la población adulta atendida en el SGSSS de Colombia 2019 [Internet]. Cuenta de Alto Costo; 2020 [consultado el 15 de octubre de 2021]. Disponible en: Disponible en: https://cuentadealtocosto.org/site/wp-content/uploads/2020/09/CANCER2019COM-3.pdfLinks ]

8. Allemani C, Matsuda T, Veronica di C, Harewood R, Matz M, Bonaventura A, et al. Concord-3. Lancet. 2018;391(10125):1023-75. https://doi.org/10.1016/S0140-6736(17)33326-3Links ]

9. Cancer Statistics Explorer Network [Internet]. National Cancer Institute [consultado el 19 de octubre de 2022]. Disponible en: Disponible en: https://seer.cancer.gov/statistics-network/explorer/application.html?site=18&data_type=4&graph_type=2&compareBy=relative_survival_interval&chk_relative_survival_interval_1=1&chk_relative_survival_interval_3=3&sex=1&race=1&age_range=1&stage=106&advopt_precLinks ]

10. de Vries E, Uribe C, Pardo C, Lemmens V, Van De Poel E, Forman D, et al. Gastric cancer survival and affiliation to health insurance in a middle-income setting. Cancer Epidemiol. 2015;39(1):91-6. https://doi.org/10.1016/j.canep.2014.10.012Links ]

11. Rodríguez-García J, Peñaloza-Quintero RE, Amaya-Lara JL. Estimación de la carga global de enfermedad en Colombia 2012: nuevos aspectos metodológicos. Rev Salud Publica (Bogotá). 2017;19(2):235-40. https://doi.org/10.15446/rsap.v19n2.66179Links ]

12. De Vries E, Meneses MX, Piñeros M. Years of life lost as a measure of cancer burden in Colombia, 1997-2012. Biomedica. 2016;36(4):547-55. https://doi.org/10.7705/biomedica.v36i4.3207Links ]

13. La información del DANE en la toma de decisiones de las ciudades capitales. Tunja-Boyacá [Internet]. DANE; 2021 [consultado el 1 de octubre de 2021]. Disponible en: Disponible en: https://www.dane.gov.co/files/investigaciones/planes-departamentos-ciudades/210209-InfoDane-Tunja-Boyaca.pdfLinks ]

14. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394-424. https://doi.org/10.3322/caac.21492Links ]

15. Diet, Nutrition, Physical Activity and Stomach Cancer 2016. Revised 2018 [Internet]. World Cancer Research Fund/American Institute for Cancer; 2018 [consultado el 26 de agosto de 2021]. Disponible en: Disponible en: https://www.wcrf.org/wp-content/uploads/2021/02/stomach-cancer-report.pdfLinks ]

16. Boletín Técnico Encuesta Nacional de Consumo de Sustancias Psicoactivas (ENCSPA) [Internet]. DANE, Ministerio de Justicia; 2020 [consultado el 20 de agosto de 2021]. Disponible en: Disponible en: https://www.dane.gov.co/files/investigaciones/boletines/encspa/bt-encspa-2019.pdfLinks ]

17. Geoportal. Coordinate data and level height values of the national geodesc network. Boyacá, Tunja. 2016. IGAC [consultado el 19 de octubre de 2021]. Disponible en: Disponible en: https://geoportal.igac.gov.co/contenido/datos-abiertos-geodesiaLinks ]

18. Torres J, Hernandez-Suarez G, Cavazza-Porro M, Dominguez R. Altitude in the mountainous regions of Pacific Latin America. Cancer Causes Control. 2013;24(2):249-56. https://doi.org/10.1007/s10552-012-0114-8Links ]

19. Bravo LE, Collazos T, Collazos P, García LS, Correa P. Trends of cancer incidence and mortality in Cali, Colombia. 50 years’ experience. Colomb Med [Internet]. 2012;43(4):246-55. https://doi.org/10.25100/cm.v43i4.1266Links ]

20. Demografía y población [Internet]. Serie municipal de población por área, sexo y edad, para el periodo 2018-2026. DANE [consultado el 1 de octubre de 2021]. Disponible en: Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/proyecciones-de-poblacionLinks ]

21. Declaración de Helsinki de la AMM - Principios éticos para las investigaciones médicas en seres humanos [Internet]. Universidad de Navarra; 2013 [consultado el 10 de noviembre de 2021]. Disponible en: Disponible en: www.redsamid.net/archivos/201606/2013-declaracion-helsinki-brasil.pdf?1Links ]

22. Resolución 8430 de 1993 por la cual se establecen las normas científicas, técnicas y administrativas para la investigación en salud [Internet]. Ministerio de salud Bogotá; 1993 [consultado el 10 de noviembre de 2021]. Disponible en: Disponible en: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/DIJ/RESOLUCION-8430-DE-1993.PDFLinks ]

23. Salomon JA, Vos T, Hogan DR, Gagnon M, Naghavi M, Mokdad A, et al. Common values in assessing health outcomes from disease and injury: Disability weights measurement study for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2129-43. https://doi.org/10.1016/S0140-6736(12)61680-8Links ]

24. Park JH, Lee KS, Choi KS. Burden of cancer in Korea during 2000-2020. Cancer Epidemiol. 2013;37(4):353-9. https://doi.org/10.1016/j.canep.2013.03.015Links ]

25. Health statistics and information systems [Internet]. WHO [consultado el 10 de septiembre de 2021]. Disponible en: Disponible en: https://www.who.int/healthinfo/bodreferencedalycalculationtemplate.xls?ua=1Links ]

26. Sierra MS, Cueva P, Bravo LE, Forman D. Stomach cancer burden in Central and South America. Cancer Epidemiol. 2016;44 Suppl 1:S62-73. https://doi.org/10.1016/j.canep.2016.03.008Links ]

27. Colombia fact sheets [Internet]. Globocan; 2021 [consultado el 15 de noviembre de 2021]. Disponible en: Disponible en: https://gco.iarc.fr/today/data/factsheets/populations/170-colombia-fact-sheets.pdfLinks ]

28. Jazieh AR, Akbulut H, Curigliano G, Rogado A, Alsharm AA, Razis ED, et al. Impact of the COVID-19 Pandemic on Cancer Care: A Global Collaborative Study. JCO Glob Oncol. 2020;(6):1428-38. https://doi.org/10.1200/GO.20.00351Links ]

29. Caicedo A, Triana A, Niño C, Medina F, Reyes K. Caracterización sociodemográfica y clínica de pacientes diagnosticados con cáncer gástrico en el departamento de Boyacá (Colombia), 2008-2013. Revista Salud, Historia Y Sanidad. 2015;10(3):45-61. [ Links ]

30. Global both sexes, all ages, 2019, DALYs [Internet]. IHME [consultado el 30 de octubre de 2021]. Disponible en: Disponible en: https://vizhub.healthdata.org/gbd-compare/Links ]

31. Murillo E, Mendoza O, Ríos M, Sánchez R, Higareda MA, Higareda E, et al. Disability-adjusted life years for cancer in 2010-2014: A regional approach in Mexico. Int J Environ Res Public Health. 2018;15(5):1-10. https://doi.org/10.3390/ijerph15050864Links ]

32. Esquiaqui R, Posso H, Peñaloza R, Rodriguez J. Carga de enfermedad por cáncer en Santander, Colombia, 2005. Rev Salud Publica (Bogota). 2012;14(2):213-25. https://doi.org/10.1590/S0124-00642012000200003Links ]

33. Life expectancy at birth, total (years) - Colombia [Internet]. World Bank; 2021 [consultado el 20 de octubre de 2021]. Disponible en: Disponible en: https://data.worldbank.org/indicator/SP.DYN.LE00.IN?locations=COLinks ]

34. Pham TM, Kubo T, Fujino Y, Ozasa K, Matsuda S, Yoshimura T. Disability-adjusted life years (DALY) for cancer in Japan in 2000. J Epidemiol. 2011;21(4):309-12. https://doi.org/10.2188/jea.JE20110017Links ]

35. Arias-Sosa LA, Cuspoca-Orduz AF, Siabato-Barrios JA, Eslava-Roa JS. Incidence and mortality of gastric cancer in the department of Boyacá-Colombia. Acta Gastroenterol Latinoam. 2018;48(3):181-9. [ Links ]

36. Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, et al. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA Oncol. 2022;8(3):420-44. https://doi.org/10.1001/jamaoncol.2021.6987Links ]

Citation:

1Barreto-Noratto CP, Limas-Solano LM, Porras-Ramírez A, Rico-Mendoza A. The Burden of Gastric Cancer Disease from 2010 to 2019 in Tunja, Boyacá, Colombia. Revista. colomb. Gastroenterol. 2023;38(1):12-18. https://doi.org/10.22516/25007440.916

Source of Funding:

This study received no dedicated support from public sector agencies, commercial enterprises, or non-profit organizations.

Contribution:

4Dr. Barreto: data conception, acquisition, analysis, and interpretation of data. Dr. Limas: a critical review of intellectual content. Drs. Porras and Rico: a critical review of intellectual content and final approval.

Received: May 31, 2022; Accepted: December 16, 2022

*Correspondence: Clara Patricia Barreto-Noratto. clarapbarreton@gmail.com

The authors report that they have no conflicts of interest.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License