Additional file 1 of Risk factors of childhood cancer in Armenia: a case-control study

Supplementary Material

Additional file 1 of Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases

Additional file 1. Appendix A - Prior attempts in literature to differentiate PFO from ASD and other congenital heart diseases; Appendix B - Diagnostic and procedural codes used to define baseline comorbidities; Appendix C - Reproducible example with simulated data; Appendix D - Detailed table of baseline demographic information and comorbidities; Appendix E - Models tested to determine final classification algorithm

New Insights into the Epidemiology of Prostate Cancer in Ontario

The epidemiology of prostate cancer (PC) continues to change. We evaluated the changes in incidence, in average age at diagnosis, and in survival from 1992 to 2015 in Ontario. We compared the cumulative incidence of PC-specific and non PC-specific mortality using two algorithms for cause of death: Method 1 assigned deaths from “other cancers” to non PC-specific causes, and Method 2 assigned these cases to PC-specific mortality. There were 188,714 cases diagnosed with PC between 1992 and 2015 in Ontario. The average age at diagnosis declined from 1992 to 2008 by 0.26 year (3.1 months) annually (p p > 0.05). Between 2010 and 2015, the proportion of patients diagnosed at stage IV increased, and the proportion diagnosed at stage I decreased (p-values for trends <0.001). Overall survival significantly improved over the years. The cumulative incidence of PC-specific mortality at 5 and 10 years was 6.8 and 9.8% using Method 1, and 10.2 and 16.8% using Method 2. We observed trends toward older age and more advanced stage at PC diagnosis in Ontario. Further studies are needed to validate algorithms for estimating PC-specific mortality from administrative databases.</p

Mean monthly cost of care by malignancy type.

(A) Haematolgy. (B) Solid tumour. The shaded area represents excess cost associated with sepsis, solid line represents mean monthly cost of care among sepsis (cases) and dotted line for no sepsis (controls).</p

Data source.

(DOCX)</p

Kaplan-Meier survival curves comparing sepsis cases to no sepsis controls.

(DOCX)</p

Characteristics of cancer patients with sepsis by malignancy type.

Characteristics of cancer patients with sepsis by malignancy type.</p

Variations in the 1-year cumulative excess cost by sex and age groups.

(A) Haematolgy. (B) Solid tumour. The dotted vertical line represents the excess cost presented in our main analysis (overall grouped average). Error bars represent the 95% confidence intervals.</p

Distribution of sepsis episodes from time of cancer diagnosis.

(DOCX)</p

Diagnostic codes used for identification of sepsis.

(DOCX)</p