To examine the differences in the risk of cerebrovascular disease among cancer patients and the US general population collected by the National Center for Health Statistics in that category, absolute excess risk (AER) and Standardized mortality ratio (SMR) were calculated using standardized method implemented in SEER∗Stat software.26 The SMR was defined as the actual count of deaths caused by cerebrovascular disease/ the number of events expected to be experienced. The AER was defined as ((Observed count - Expected count) x 10,000) / Person years at risk. These measures compared the rates and the absolute excess cerebrovascular disease rate with the general population and reflect the proportional increase in the cerebrovascular disease rate, respectively. We present only for persons with those forms of cancer in whom 100,000 person-years or more of survival time in the data obtained from the SEER registries. The rate of cerebrovascular disease - was adjusted to the age, sex, and race of the cancer patients in the SEER database. All statistical analyses were two-sided and carried out through the Surveillance Research Program, National Cancer Institute SEER∗Stat software (seer.cancer.gov/seerstat) version 8.3.9 and R Statistical Software version 4.0.3 (R Foundation for Statistical Computing). P < .05 was set as the statistical significance cutoff value.
Seer stat software
Manufactured by R Project for Statistical Computing
SEER*Stat is a software program developed by the Surveillance, Epidemiology, and End Results (SEER) Program, which is a national cancer registry operated by the National Cancer Institute. The core function of SEER*Stat is to provide access to and analysis of population-based cancer statistics.
Automatically generated - may contain errors
4 protocols using seer stat software
1
Cerebrovascular Disease Risk in Cancer
2
Statistical Analysis of SEER Cancer Data
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All analyses were performed using SEER*Stat software (version 8.3.9.2), R 4.1.1 (R foundation for Statistical Computing, Vienna, Austria), and Microsoft Excel 2019 (Microsoft, Redmond, WA). All statistical analyses were two-sided with a p value < 0.05 being considered statistically significant.
3
Suicide Risk Among Cancer Patients
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To compare the rate of suicide among cancer patients with that of the US general population (as collected by the National Center for Health Statistics), we obtained absolute excess risk estimates (AER) through a standardized method implemented by the SEER*Stat software.15 Standardized mortality ratio (SMR) was calculated in SEER*Stat software using MP-SIR section, which provides the relative risk of death for patients with cancer as compared to US general population; here, the SMR was defined as the actual count of deaths caused by suicide / the number of events expected to be experienced, and confidence intervals were calculated by exact method implemented in the SEER *stat software. The AER was defined as ((Observed count - Expected count) x 10,000) / Person years at risk. Analysis for suicide risk over time after cancer diagnosis was adjusted for the sex, age, and race of cancer patients in the SEER database. Changing trend of SMR and AER over year of diagnosis was tested by using Mann Kendall Trend Test.16 All statistical analyses were performed by the Surveillance Research Program, National Cancer Institute SEER*Stat software (seer.cancer.gov/seerstat) version 8.3.9 and R Statistical Software version 4.0.3 (R Foundation for Statistical Computing), without multiple comparison corrections as the analyses were exploratory.
4
Suicide Risk in Breast Cancer Patients
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The suicide rate among patients with breast cancer was determined by calculating the reported suicide rate per 100 000 person-years of follow-up. Mortality and SMR from suicide were calculated in accordance with a previous study19 (link). SMR represents the risk for death from suicide compared with the matched cancer-free population with a similar distribution of age at diagnosis, race, and year of diagnosis in the US population during the same period. SMR was estimated as the ratio of the observed to the expected number of deaths. Observed deaths represent the total number of deaths from suicide among patients with cancer recorded during the study period, whereas expected deaths represent the number of individuals who died of suicide in the general population, with a similar distribution of age at diagnosis, race, and calendar year. Cumulative mortality rate (CMR) was calculated to identify breast cancer survivors at higher risk for death. Multivariate Cox regression analysis was performed to compare the mortality risk within subgroups of patients with cancer. Differences with P less than 0.05 were considered to be statistically significant. Analyses were performed using SEER*Stat software and R statistical software (R Foundation for Statistical Computing).
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