The pre-specified prognostic variables were based on previous publications [5] included at admission into the registry; age, lactate value, MELD [20] score (admission) and other variables with statistical significance on univariable analysis.
Data from the blindness registry (age, gender and cause of visual disability) were collected and analyzed.
They were on average 82 years old when they were entered into the second registry (age ranged from 56 to 96 years).
The expected number of cancers was calculated by applying general population cancer incidence rates specific to registry, age (in 5-year groups), and calendar year (in 5-year groups), to person-years accrued by cohort members.
The following socio-demographic and clinical data were retrieved from the REIN registry: age, gender, body mass index (BMI), type of dialysis, dialysis vintage, primary etiology of nephropathy, comorbidities (smoking, diabetes, cardiovascular diseases, hypertension, respiratory diseases and cancer), and being on renal transplant waiting list [ 17].
The distribution of factors available from the tumor registry (age, tumor size, race, diagnosis year, ER status, and tamoxifen treatment) among the evaluable cases and controls was generally similar to the distribution of these factors among the 239 potentially eligible cases and controls who were lost to the study.
The number of EC cases observed in the study cohort was compared to that expected according to cancer registry age-adjusted incidence rates in the general population, and observed/expected (O/E) ratio and its 95% confidence interval (95% CI) were calculated.
All cases in the Manchester Children's Tumour Registry (aged 0-14 yeats at diagnosis) with acute lymphoblastic leukaemia (ALL), acute non-lymphocytic leukaemia (ANLL), Hodgkin's disease (HD) or non-Hodgkin lymphoma (NHL) between 1 January 1954 and 31 December 1996 were included in an analysis of seasonal variation in the month of first symptom and the month of diagnosis.
The variables evaluated were: SEER registry area, age, marital status, race, tumor histopathology, grade, historical stage (localized versus regional, metastatic, or unknown), extent of surgery (hysterectomy versus else), radiotherapy (prescribed versus none or unknown).
Registry area, age, marital status, race, year of diagnosis, tumor histology, grade, stage, tumor size, number of positive nodes, number of examined nodes, odds of nodal involvement, extent of surgery, and radiotherapy were evaluated in Cox models by stepwise selection using the Akaike Information Criteria.
Carel et al surveyed 568 adult women from a mandatory population-based treatment registry, mean age 22.6 years, mean height 150.9 cm, 69% response rate [ 7].
