Trends and geographic pattern of stomach cancer mortality in Peru

Ruíz, Eloy; Torres-Román, J. Smith; Servan, Sebastian A.; Martínez-Herrera, José Fabián; Arce-Huamaní, Miguel Ángel; Carioli, Greta; Vecchia, Carlo La

doi:10.1016/j.canep.2018.10.018

Cited by 18 publications

(19 citation statements)

References 23 publications

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“…We retrieved mortality data from the registry of deaths of the Peru Ministry of Health (MINSA, in Spanish) from the period 2003-2017: https://www.minsa.gob.pe/portada/ transparencia/solicitud/. MINSA collects mortality data at the national level using different sources: 1) all health establishment records, 2) the Registro Nacional de Identificación y Estado Civil, and 3) the Public Ministry [7]. These data cover the number of deaths for each disease aggregated by gender into 5 age groups (0-11, 12-17, 18-29, 30-59, and ≥ 60) as in similar studies in Peru [7,8].…”

Section: Design and Study Settingmentioning

confidence: 99%

“…MINSA collects mortality data at the national level using different sources: 1) all health establishment records, 2) the Registro Nacional de Identificación y Estado Civil, and 3) the Public Ministry [7]. These data cover the number of deaths for each disease aggregated by gender into 5 age groups (0-11, 12-17, 18-29, 30-59, and ≥ 60) as in similar studies in Peru [7,8]. We aggregated the 3 first age group in the young (0-29 years) group and calculated the age-adjusted mortality rates for the groups 0-29, 30-59, and ≥ 60.…”

Section: Design and Study Settingmentioning

confidence: 99%

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Breast cancer mortality trends in Peruvian women

et al. 2020

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Background Breast cancer (BC) is the most common malignancy in Latin American women, but with a wide variability with respect to their mortality. This study aims to estimate the mortality rates from BC in Peruvian women and to assess mortality trends over 15 years. Methods We calculated BC age-standardized mortality rate (ASMR) per 100,000 women-years using the world standard SEGI population. We estimated joinpoint regression models for BC in Peru and its geographical areas. The spatial analysis was performed using the Moran’s I statistic. Results In a 15-year period, Peru had a mortality rate of 9.97 per 100,000 women-years. The coastal region had the highest mortality rate (12.15 per 100,000 women-years), followed by the highlands region (4.71 per 100,000 women-years). In 2003, the highest ASMR for BC were in the provinces of Lima, Arequipa, and La Libertad (above 8.0 per 100,000 women-years), whereas in 2017, the highest ASMR were in Tumbes, Callao, and Moquegua (above 13.0 per women-years). The mortality trend for BC has been declining in the coastal region since 2005 (APC = − 1.35, p < 0.05), whereas the highlands region experienced an upward trend throughout the study period (APC = 4.26, p < 0.05). The rainforest region had a stable trend. Spatial analysis showed a Local Indicator of Spatial Association of 0.26 (p < 0.05). Conclusion We found regional differences in the mortality trends over 15 years. Although the coastal region experienced a downward trend, the highlands had an upward mortality trend in the entire study period. It is necessary to implement tailored public health interventions to reduce BC mortality in Peru.

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Section: Design and Study Settingmentioning

confidence: 99%

Section: Design and Study Settingmentioning

confidence: 99%

Breast cancer mortality trends in Peruvian women

et al. 2020

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“…We performed spatial cluster analyses in the context of an active population-based, case-control study centered in western Honduras. The study was set in rural Honduras and is representative of the Central America Four (“CA-4”) region (Guatemala, Honduras, El Salvador, Nicaragua), the largest LMIC region in the western hemisphere, with over 36 million inhabitants [26]. This mountainous region has a racial-ethnic mixture of primarily Hispanic Mestizo (95%) and has among the highest gastric cancer incidence rates in the western hemisphere, with a high prevalence of H. pylori infection of over 80% [2, 27–29].…”

Section: Methodsmentioning

confidence: 99%

“…Geospatial methods and the use of geographic information systems (GIS) can delineate disease distributions and etiology, as well as inform prevention programs, however, few studies have applied spatial techniques to examine gastric cancer [23–26]. The objective of this study was to utilize geospatial methods to examine the spatial distributions of gastric cancer subtypes, in the context of an ongoing population-based, case-control study in Central America.…”

Section: Introductionmentioning

confidence: 99%

Geospatial analyses identify regional hot spots of diffuse gastric cancer in rural Central America

Domínguez¹,

Cherry

Estevez-Ordonez

et al. 2019

BMC Cancer

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Background Geospatial technology has facilitated the discovery of disease distributions and etiology and helped target prevention programs. Globally, gastric cancer is the leading infection-associated cancer, and third leading cause of cancer mortality worldwide, with marked geographic variation. Central and South America have a significant burden, particularly in the mountainous regions. In the context of an ongoing population-based case-control study in Central America, our aim was to examine the spatial epidemiology of gastric cancer subtypes and H. pylori virulence factors. Methods Patients diagnosed with gastric cancer from 2002 to 2013 in western Honduras were identified in the prospective gastric cancer registry at the principal district hospital. Diagnosis was based on endoscopy and confirmatory histopathology. Geospatial methods were applied using the ArcGIS v10.3.1 and SaTScan v9.4.2 platforms to examine regional distributions of the gastric cancer histologic subtypes (Lauren classification), and the H. pylori CagA virulence factor. Getis-Ord-Gi hot spot and Discrete Poisson SaTScan statistics, respectively, were used to explore spatial clustering at the village level (30–50 rural households), with standardization by each village’s population. H. pylori and CagA serologic status was determined using the novel H. pylori multiplex assay (DKFZ, Germany). Results Three hundred seventy-eight incident cases met the inclusion criteria (mean age 63.7, male 66.3%). Areas of higher gastric cancer incidence were identified. Significant spatial clustering of diffuse histology adenocarcinoma was revealed both by the Getis-Ord-GI* hot spot analysis ( P -value < 0.0015; range 0.00003–0.0014; 99%CI), and by the SaTScan statistic ( P- value < 0.006; range 0.0026–0.0054). The intestinal subtype was randomly distributed. H. pylori CagA had significant spatial clustering only in association with the diffuse histology cancer hot spot (Getis-Ord-Gi* P value ≤0.001; range 0.0001–0.0010; SaTScan statistic P value 0.0085). In the diffuse gastric cancer hot spot, the lowest age quartile range was 21–46 years, significantly lower than the intestinal cancers ( P = 0.024). Conclusions Geospatial methods have identified a significant cluster of incident diffuse type adenocarcinoma cases in rural Central America, suggest of a germline genetic association. Further genomic and geospatial analyses to identify potential spatial patterns of genetic, bacterial, and environmental risk factors may be informative.

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“…Existen publicaciones que muestran de manera descriptiva una tendencia decreciente en la mortalidad de cáncer gástrico en el Perú aunque en un lapso más corto de tiempo como 10 años (2005 al 2014) (12) y 8 años (2008-2015) (13) mostrando una reducción en la tasa estandarizada. Existen diferencias al interior del Perú respecto a la mortalidad por cáncer gástrico, las mayores tasas se encuentran en la sierra central y en la costa; las regiones políticas con mayor tasa de mortalidad son Huánuco, Huancavelica y Junín (14) , que también son regiones con indicadores de pobreza más altos, menos acceso a servicios de salud, menos disponibilidad de agua potable (15) , en los ámbitos rurales la población drena sus deshechos en el río local y esta agua suele ser la misma que se trata para consumo humano, encontrando baja concentración de cloro; todos estos factores favorecen la diseminación de la infección por H. pylori (8) .…”

Section: Introductionunclassified

Trend in gastric cancer mortality rate in Peru: Segmented regression model 1995 - 2013

Venegas-Ojeda

Agüero-Palacios

2021

RFMH

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Objetivo: Analizar las tendencias de mortalidad por cáncer gástrico en Perú de 1995 a 2013 y sus diferencias por sexo, grupos etarios, regiones políticas y geográficas. Métodos: Estudio ecológico de series de tiempo basado en 49 690 registros de defunción del Ministerio de Salud, de 1995 a 2013; se calcularon tasas de mortalidad brutas, específicas y estandarizadas por año; según sexo, grupo de edad, regiones política y geográfica, para analizar tendencias estimando joinpoints y cambios de porcentaje anual (CPA) mediante modelos de regresión segmentada utilizando el software Joinpoint Regression Desktop versión 4.5.0.0. Resultados: La tendencia de la tasa de mortalidad estandarizada (TME) por cáncer gástrico en Perú fue decreciente (16,1 x 100 000 hab. en 1995 a 11.4 x 100 000 hab. en 2013) (CPA:-2,3), observándose tendencias decrecientes en 17 de 25 regiones políticas. Se encontraron diferencias: decremento más acelerado en mujeres (CPA-2,5) versus hombres (-2,0) y a mayor edad (CPA para 75-79 años:-2,57 versus CPA para 40-44:-1,39); destacan tres regiones con elevada mortalidad: Andes centrales, zona norte y costa central; existen tendencias crecientes en Huancavelica, Ayacucho y Pasco. En la Costa la mortalidad decrece desde 1998; en la Sierra y Selva decrece significativamente a partir del 2009. Conclusiones: La tendencia de la TME por cáncer gástrico fue decreciente para el período de 1995-2013 con disparidades por sexo, grupos etarios, regiones políticas y geográficas. Palabras clave: Tendencias; Tasa de mortalidad; Modelo de regresión segmentada; Análisis de regresión; Cáncer gástrico; Perú (fuente: DeCS BIREME).

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Trends and geographic pattern of stomach cancer mortality in Peru

Cited by 18 publications

References 23 publications

Breast cancer mortality trends in Peruvian women

Breast cancer mortality trends in Peruvian women

Geospatial analyses identify regional hot spots of diffuse gastric cancer in rural Central America

Trend in gastric cancer mortality rate in Peru: Segmented regression model 1995 - 2013

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