Risk of second primary malignancies after definitive treatment for esophageal cancer: A competing risk analysis

Background: The effect of radiotherapy (RT) for second primary malignancies (SPMs) among prostate cancer survivors is controversial. Methods: Applying logistic regression, competing risk analysis and propensity score matching method, this study analyzed clinical data from the Surveillance, Epidemiology, and End Results program to compare the risk for SPMs between patients receiving RT and non-RT. Results: In this study, prostate cancer patients treated with RT developed more SPMs in the anus, bladder, rectum, liver, lung and bronchus and lymphoma than non-RT groups. Conclusion: More intensive surveillance should be adopted for these cancers among prostate cancer survivors.

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Risk of second malignancies after definitive therapy for esophageal cancer: A competing risk analysis

Annals of Oncology ◽

10.1093/annonc/mdx369.018 ◽

2017 ◽

Vol 28 ◽

pp. v216

Author(s):

S. Mitani ◽

I. Oze ◽

S. Kadowaki ◽

T. Masuishi ◽

Y. Narita ◽

...

Keyword(s):

Esophageal Cancer ◽

Risk Analysis ◽

Competing Risk ◽

Second Malignancies ◽

Competing Risk Analysis ◽

Definitive Therapy

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Bayesian competing risk analysis: An application to nasopharyngeal carcinoma patients data

Computational and Systems Oncology ◽

10.1002/cso2.1006 ◽

2020 ◽

Vol 1 (1) ◽

Author(s):

Rakesh Kumar Saroj ◽

K. Narasimha Murthy ◽

Mukesh Kumar ◽

Atanu Bhattacharjee ◽

Kamalesh Kumar Patel

Keyword(s):

Nasopharyngeal Carcinoma ◽

Risk Analysis ◽

Competing Risk ◽

Competing Risk Analysis

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Self-employment duration during the COVID-19 pandemic: A competing risk analysis

Journal of Business Venturing Insights ◽

10.1016/j.jbvi.2021.e00241 ◽

2021 ◽

pp. e00241

Author(s):

Jasper Grashuis

Keyword(s):

Risk Analysis ◽

Competing Risk ◽

Competing Risk Analysis ◽

Self Employment ◽

Employment Duration

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Standard and competing risk analysis of the effect of albuminuria on cardiovascular and cancer mortality in patients with type 2 diabetes mellitus

Diagnostic and Prognostic Research ◽

10.1186/s41512-018-0035-4 ◽

2018 ◽

Vol 2 (1) ◽

Cited By ~ 7

Author(s):

Benjamin G. Feakins ◽

Emily C. McFadden ◽

Andrew J. Farmer ◽

Richard J. Stevens

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Risk Analysis ◽

Cancer Mortality ◽

Competing Risk ◽

Competing Risk Analysis

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A Scoring System For Predicting Hepatocellular Carcinoma Risk In Alcoholic Cirrhosis: A Competing Risk Analysis

10.21203/rs.3.rs-970975/v1 ◽

2021 ◽

Author(s):

Kyunghan Lee ◽

Gwang Hyeon Choi ◽

Eun Sun Jang ◽

Sook-Hyang Jeong ◽

Jin–Wook Kim

Keyword(s):

Hepatocellular Carcinoma ◽

Risk Analysis ◽

Viral Hepatitis ◽

Validation Cohort ◽

Alcoholic Cirrhosis ◽

Competing Risk ◽

Competing Risk Analysis ◽

Hazards Model ◽

B Virus

Abstract Background & Aims: The role of hepatocellular carcinoma (HCC) surveillance is being questioned in alcoholic cirrhosis because of the relative low HCC risk. Comorbid viral hepatitis may synergistically increase the HCC risk in alcoholic cirrhosis. This study aimed to assess the risk and predictors of HCC in patients with alcoholic cirrhosis by using competing risk analysis in an area with intermediate prevalence for hepatitis B virus.Methods: A total of 965 patients with alcoholic cirrhosis were recruited at a university-affiliated hospital in Korea and randomly assigned to either the derivation (n=643) and validation (n=322) cohort. Subdistribution hazards model of Fine and Gray was used with deaths and liver transplantation treated as competing risks. Death records were confirmed from Korean government databases. A nomogram was developed to calculate the Alcohol-associated Liver Cancer Estimation (ALICE) score.Results: Markers for viral hepatitis were positive in 21.0 % and 25.8 % of patients in derivation and validation cohort, respectively. The cumulative incidence of HCC was 13.5 and 14.9 % at 10 years for derivation and validation cohort, respectively. Age, positivity for viral hepatitis markers, alpha-fetoprotein level, and platelet count were identified as independent predictors of HCC and incorporated in the ALICE score, which discriminated low, intermediate, and high risk for HCC in alcoholic cirrhosis at the cut-off of 120 and 180. Conclusions: HCC risk can be stratified by using clinical parameters including viral markers in alcoholic cirrhosis in an area where the prevalence of viral hepatitis is substantial.

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