Geographic epidemiology of hepatocellular carcinoma, viral hepatitis, and socioeconomic position in New York City

Ford, Mary M.; Ivanina, Elena; Desai, Payal; Highfield, Linda; Qiao, Baozhen; Schymura, Maria J.; Laraque, Fabienne

doi:10.1007/s10552-017-0897-8

Cited by 19 publications

(19 citation statements)

References 27 publications

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“…Hepatitis B virus (HBV) infection is the main cause of HCC in the endemic regions of Asia, and the leading cause of morbidity and mortality worldwide with over 250 million people . Chronic HBV‐infected persons may have a 5‐ to 100‐fold increase in the risk of developing HCC . In early stages, HBV infection was asymptomatic, 15–40% of chronic HBV patients will develop cirrhosis or cirrhosis‐related complications during their lifetime and the greatest risk can be found in older male patients.…”

Section: Hepatitis B Virus Infectionmentioning

confidence: 99%

Assessment of risk factors, and racial and ethnic differences in hepatocellular carcinoma

et al. 2020

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Despite improved screening and surveillance guidelines, significant race/ethnicity‐specific disparities in hepatocellular carcinoma (HCC) continue to exist and disproportionately affect minority and disadvantaged populations. This trend indicates that social determinants, genetic, and environmental factors are driving the epidemic at the population level. Race and geography had independent associations with risk of mortality among patients with HCC. The present review discusses the risk factors and issues related to disparities in HCC. The underlying etiologies for these disparities are complex and multifactorial. Some of the risk factors for developing HCC include hepatitis B (HBV) and hepatitis C (HCV) viral infection, nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, smoking and alcohol consumption. In addition, population genetics; socioeconomic and health care access; treatment and prevention differences; and genetic, behavioral, and biological influences can contribute to HCC. Acculturation of ethnic minorities, insurance status, and access to health care may further contribute to the observed disparities in HCC. By increasing awareness, better modalities for screening and surveillance, improving access to health care, and adapting targeted preventive and therapeutic interventions, disparities in HCC outcomes can be reduced or eliminated.

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Section: Hepatitis B Virus Infectionmentioning

confidence: 99%

Assessment of risk factors, and racial and ethnic differences in hepatocellular carcinoma

et al. 2020

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“…Patient‐level factors impacting timeliness of referral as well as access to potentially curative therapy for HCC include age, disease stage, geographic area, and the underlying causes of cirrhosis—patients with ongoing substance abuse are not candidates for OLT and therefore may not be referred for evaluation at Type IV centers . Other factors including insurance coverage, social support networks, race, and ethnicity also impact both the type of hospital in which patients are treated and the outcome following HCC diagnosis …”

Section: Discussionmentioning

confidence: 99%

“…(15,16) Other factors including insurance coverage, social support networks, race, and ethnicity also impact both the type of hospital in which patients are treated and the outcome following HCC diagnosis. (17)(18)(19) An important finding is the dose-response relationship between an increasing complement of interventional services offered by the treating hospital and improved patient outcomes across all therapeutic modalities and stages of disease. Undoubtedly, the potential causes of this survival benefit are multifactorial.…”

Section: Discussionmentioning

confidence: 99%

Impact of the Treating Hospital on Care Outcomes for Hepatocellular Carcinoma

et al. 2018

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Multidisciplinary hepatocellular carcinoma (HCC) treatment is associated with optimal outcomes. There are few data analyzing the impact of treating hospitals' therapeutic offerings on survival. We performed a retrospective cohort study of patients aged 18-70 years with HCC in the National Cancer Database (2004-2012). Hospitals were categorized based on the level of treatment offered (Type I-nonsurgical; Type II-ablation; Type III-resection; Type IV-transplant). Associations between overall risk of death and hospital type were evaluated with multivariable Cox shared frailty modeling. Among 50,381 patients, 65% received care in Type IV hospitals, 26% in Type III, 3% in Type II, and 6% in Type I. Overall 5-year survival across modalities was highest at Type IV hospitals (untreated: Type IV-13.1% versus Type I-5.7%, Type II-7.0%, Type III-7.4% [log-rank, P < 0.001]; chemotherapy and/or radiation: Type IV-18.1% versus Type I-3.6%, Type II-4.6%, Type III-7.7% [log-rank, P < 0.001]; ablation: Type IV-33.3% versus Type II-13.6%, Type III-23.6% [log-rank, P < 0.001]; resection: Type IV-48.4% versus Type III-39.1% [log-rank, P < 0.001]). Risk of death demonstrated a dose-response relationship with the hospital type-Type I (ref); Type II (hazard ratio [HR] 0.81, 95% confidence interval [0.73-0.90]); Type III (HR 0.67 [0.62-0.72]); Type IV hospitals (HR 0.43 [0.39-0.47]). Conclusion: Although care at hospitals offering the full complement of HCC treatments is associated with decreased risk of death, one third of patients are not treated at these hospitals. These data can inform the value of health policy initiatives regarding regionalization of HCC care.

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“…Los GLM con distribución Poisson son modelos de regresión multivariable que han sido utilizados en estudios de análisis de distancia (o análisis de proximidad) en estudios de efectos de exposiciones ambientales y que en su análisis incorporan el análisis de correlación espacial de los datos 6 . Recientemente, se publicaron los resultados de una investigación en Epidemiología geográfica de Cáncer Hepatocelular en la ciudad de Nueva York, donde aplico un modelo de regresión Poisson incluyendo variables geográficas y hallaron que el Cáncer Hepatocelular y la hepatitis viral están relacionados con medidas de posición socioeconómica 29 . Alternativamente, los métodos de análisis multivariable espacial pueden usar como variable independiente la inclusión o no de un caso o área específica dentro de un radio de distancia de interés para un punto de exposición (ejm.…”

Section: Otros Métodos Analíticos De Datos Espacialesunclassified

Análisis espacial en epidemiología: revisión de métodos

Valbuena‐Garcia

Rodríguez-Villamizar

2018

revsal

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El análisis espacial es un conjunto de técnicas que utiliza como insumos la ubicación geográfica o espacial de los eventos que se analizan. El uso de técnicas de análisis espacial en los estudios epidemiológicos ha tenido un rápido crecimiento en las últimas décadas porque permiten incluir en los análisis la variabilidad espacial. En el presente trabajo se hace una revisión general de los métodos de análisis espacial aplicados a la epidemiología y tiene como propósitos incentivar el estudio del análisis espacial y promover la incorporación de estas técnicas en las investigaciones actuales. Se describen los métodos de análisis espacial desde el abordaje descriptivo y analítico haciendo énfasis en el uso, ventajas y limitaciones de mapas coropléticos, pruebas de hipótesis y la identificación de clústers de enfermedades.

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Geographic epidemiology of hepatocellular carcinoma, viral hepatitis, and socioeconomic position in New York City

Cited by 19 publications

References 27 publications

Assessment of risk factors, and racial and ethnic differences in hepatocellular carcinoma

Assessment of risk factors, and racial and ethnic differences in hepatocellular carcinoma

Impact of the Treating Hospital on Care Outcomes for Hepatocellular Carcinoma

Análisis espacial en epidemiología: revisión de métodos

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