Prognostic risk factors for initially diagnosed T2N0M0 glottic cancer: competing risk analysis and propensity-score matched cohort analysis

2021 ◽  
Author(s):  
Guan-Jiang Huang ◽  
Bei-Bei Yang
Keyword(s):  
Risk Factors ◽  
Propensity Score ◽  
Risk Analysis ◽  
Cohort Analysis ◽  
Competing Risk ◽  
Glottic Cancer ◽  
Matched Cohort ◽  
Competing Risk Analysis ◽  
Prognostic Risk Factors

scholarly journals Competing Risk Analysis of Cardiovascular/Cerebrovascular Death in T1/2 Kidney Cancer: A SEER Database Analysis

2020 ◽  
Author(s):  
Xiaofei Mo ◽  
Mingge Zhou ◽  
Hui Yan ◽  
Xueqin Chen ◽  
Yuetao Wang
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Risk Analysis ◽  
Kidney Cancer ◽  
Tumor Size ◽  
Primary Site ◽  
Competing Risk ◽  
Seer Database ◽  
Competing Risk Analysis ◽  
N Status

Abstract Background: Kidney cancer (KC) is associated with cardiovascular regulation disorder, which easily leads to cardiovascular and cerebrovascular death (CCD), and CCD is one of the major causes of death in patients with KC, especially in T1/2 status. However, there are few studies treated CCD as an independent outcome and analyzed the risk factors related to this outcome. We aimed to evaluate the key factors associated with CCD or kidney cancer-specific death (KCD) in patients with T1/2 KC by competing risk analysis, and compared these two kinds of risk factors to offer some information for clinical management. Methods: A total of 45117 patients diagnosed with first primary KC in T1/2 status between 2004-2015 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. According to their outcomes at the end of follow-up, all patients were divided into CCD group (n=3087), KCD group (n=3212), Other Events group (n=6312) and Alive group (n=32506). Patients’ clinical characteristics were estimated their association with CCD and KCD by Fine-Gray’s competing risk model. Factors significantly correlating with CCD or KCD were used to create forest plots to compare their differences.Results: The Fine-Gray’s competing risk analysis showed that age at diagnosis, race, marital status, tumor size, AJCC T stage, chemotherapy, kind of surgery of primary site and scope of lymph node were correlated significantly with CCD. Moreover, age at diagnosis, sex, marital status, tumor size, AJCC T/N status, radiation therapy, chemotherapy, kind of surgery of primary site and scope of lymph node were correlated significantly with KCD. Then the forest plots of these two kinds factors were established to compare their difference. It was found that age at diagnose, race, AJCC T/N status and therapy methods represented significantly different risks for patients with T1/2 KC developing to CCD or KCD.Conclusion: We firstly separated CCD and KCD as two independent outcomes to analysis the risk factors related them, and found that age at diagnose, race, AJCC T/N status and therapy methods differently affected patients with T1/2 KC developing to CCD or KCD.

scholarly journals Risk Factors for Amputation After Revascularisation for Critical Limb Ischemia – A Competing Risk Analysis of a Population Based Cohort.

2019 ◽  
Vol 58 (6) ◽  
pp. e467-e468
Author(s):  
Eva Torbjörnsson ◽  
Lena Blomgren ◽  
Carin Ottosson ◽  
Ann-Mari Fagerdahl ◽  
Lennart Boström ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Critical Limb Ischemia ◽  
Limb Ischemia ◽  
Population Based ◽  
Competing Risk ◽  
Competing Risk Analysis

scholarly journals Risk Factors of Mortality from All Asbestos-Related Diseases: A Competing Risk Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Rafael Abós-Herràndiz ◽  
Teresa Rodriguez-Blanco ◽  
Isabel Garcia-Allas ◽  
Isabel-Magdalena Rosell-Murphy ◽  
Constança Albertí-Casas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Incidence Rate ◽  
Hazard Analysis ◽  
Competing Risk ◽  
Competing Risk Analysis ◽  
Subdistribution Hazard ◽  
Related Disease ◽  
Asbestos Related Disease

Background. The mortality from all malignant and nonmalignant asbestos-related diseases remains unknown. The authors assessed the incidence and risk factors for all asbestos-related deaths. Methods. The sample included 544 patients from an asbestos-exposed community in the area of Barcelona (Spain), between Jan 1, 1970, and Dec 31, 2006. Competing risk regression through a subdistribution hazard analysis was used to estimate risk factors for the outcomes. Results. Asbestos-related deaths were observed in 167 (30.7%) patients and 57.5% of these deaths were caused by some type of mesothelioma. The incidence rate after diagnosis was 3,600 per 100,000 person-years. In 7.5% of patients death was non-asbestos-related, while pleural and peritoneal mesothelioma were identified in 87 (16.0%) and 18 (3.3%) patients, respectively. Conclusions. Age, sex, household exposure, cumulative nonmalignant asbestos-related disease, and single malignant pathology were identified as risk factors for asbestos-related death. These findings suggest the need to develop a preventive approach to the community and to improve the clinical follow-up process of these patients.

scholarly journals Association Between Digoxin Use and Cancer Incidence: A Propensity Score-Matched Cohort Study With Competing Risk Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Chi-Jung Tai ◽  
Yi-Hsin Yang ◽  
Tzyy-Guey Tseng ◽  
Fang-Rong Chang ◽  
Hui-Chun Wang
Keyword(s):  
Cohort Study ◽  
Propensity Score ◽  
Risk Analysis ◽  
Cancer Prevention ◽  
Cancer Incidence ◽  
Competing Risk ◽  
Research Database ◽  
Competing Risk Analysis ◽  
Β Blocker

Background: Previous studies neglected death as a critical competing risk while estimating the cancer risk for digoxin users. Therefore, the current study aims to assess the effectiveness of digoxin on cancer prevention by competing risk analysis.Methods: We performed a population-based retrospective cohort study using the Taiwan National Health Insurance Research database between 1998 and 2010. After one-to-one propensity score-matching from 36,160 patients with defined criteria, we enrolled 758 patients both in digoxin and β-blocker group for further analysis.Results: The results showed that the digoxin group had higher all-cause mortality than the β-blocker group in the 4- year (10.4 vs. 4.9%) and 8 years (13.6 vs. 7.0%) follow-up. The subdistribution HR of cancer incidence in the digoxin group compared to the β-blocker group was 1.99 (95% confidence interval [CI]: 1.22–3.01) and 1.46 (95% CI: 1.01–2.15) in the 4 years and 8 years follow-up, respectively.Conclusions: The result of our study showed the usage of digoxin has no benefit in cancer prevention compared with β-blocker. The possibility of β-blocker as a new drug candidate for cancer prevention needs further clinical evaluation. The current study also emphasized the necessity of competing risk analysis applying to similar clinical researches.

scholarly journals Primary hemiarthroplasty after unstable trochanteric fracture in elderly patients: mortality, readmission and reoperation

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Tzu-Chieh Lin ◽  
Pin-Wen Wang ◽  
Chun-Teng Lin ◽  
Yu-Jun Chang ◽  
Ying-Ju Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Cumulative Incidence ◽  
Trochanteric Fracture ◽  
Older Age ◽  
Competing Risk ◽  
Competing Risk Analysis ◽  
Long Term Outcomes

Abstract Background Most unstable trochanteric fractures are treated with internal fixation and often with high complication rates. Hemiarthroplasty might be an alternative method in difficult condition, especially in unstable comminuted fracture in fragile bone. However, few have investigated the long-term outcomes after hemiarthroplasty for unstable trochanteric fracture. We conducted a population-based retrospective cohort study of trochanteric fracture after primary hemiarthroplasty using competing risk analysis on their long-term outcomes, including mortality, readmission and reoperation. Methods We studied a total of 2798 patients over 60 years old, with a mean age of 79 years, of which 68% are females and 67.23% have at least one comorbidity. They underwent a hemiarthroplasty for unstable trochanteric fracture during the period between January 1, 2000 and December 31, 2010 and were follow-up until the end of 2012, or death. Survival analysis and Cox model were used to characterize mortality. Competing risk analysis and Fine and Gray model were used to estimate the cumulative incidences of the first readmission and the first reoperation. Results The follow-up mortality rate for 1-year was 17.94%; 2-year, 29.76%; 5-year, 56.8%; and 10-year, 83.38%. The cumulative incidence of the first readmission was 16.4% for 1-year and 22.44% for 3-year. The cumulative incidence of the first reoperation was 13.87% for 1-year, 18.11% for 2-year, 25.79% for 5-year, and 38.24% for 10-year. Male gender, older age, higher Charlson Comorbidity Index (CCI) and lower insured amount were all risk factors for the overall mortality. Older age and higher CCI were risk factors for the first readmission. Older age was a protective factor for reoperation, which is likely due to the competing death. Conclusions The mortality and revision rates after hemiarthroplasty for unstable trochanteric fracture are acceptable as a salvage procedure for this fragile sub-population.

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