Cancer incidence and mortality in 23 000 patients with type 1 diabetes in the UK: Long-term follow-up.

Type 2 diabetes is associated with raised risk of several cancers, but for type 1 diabetes risk data are fewer and inconsistent We assembled a cohort of 23 473 UK patients with insulin-treated diabetes diagnosed at ages <30, almost all of whom will have had type 1 diabetes, and for comparison 5058 diagnosed at ages 30 to 49, of whom we estimate two-thirds will have had type 2, and followed them for an average of 30 years for cancer incidence and mortality compared with general population rates. Patients aged <30 at diabetes diagnosis had significantly raised risks only for ovarian (standardised incidence ratio = 1.58; 95% confidence interval 1.

Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects.

Relative survival is used to estimate patient survival excluding causes of death not related to the disease of interest. Rather than using cause of death information from death certificates, which is often poorly recorded, relative survival compares the observed survival to that expected in a matched group from the general population. Models for relative survival can be expressed on the hazard (mortality) rate scale as the sum of two components where the total mortality rate is the sum of the underlying baseline mortality rate and the excess mortality rate due to the disease of interest.

Patients' help-seeking experiences and delay in cancer presentation: a qualitative synthesis.

Background: The reduction of delay in cancer diagnosis has been targeted as a way to improve survival. We undertook a qualitative synthesis of international research evidence to provide insight into patients' experiences of recognising symptoms of cancer and seeking help.

Methods: We searched international publications (1985-2004) for delay in cancer diagnosis to identify the relevant qualitative research, and used meta-ethnography to identify the common themes across the studies.

Providing more up-to-date estimates of patient survival: a comparison of standard survival analysis with period analysis using life-table methods and proportional hazards models.

Objective: Standard survival methods can yield out-of-date estimates of long-term survival. Period analysis, based on life-table methodology, provides more up-to-date survival estimates by exploring survival during a restricted recent period of interest. It excludes the short-term survival of patients recruited at the start of the study.

Mortality from cerebrovascular disease in a cohort of 23 000 patients with insulin-treated diabetes.

Background And Purpose: Disease of the cardiovascular system is the main cause of long-term complications and mortality in patients with type I (insulin-dependent) and type II (non-insulin-dependent) diabetes. Cerebrovascular mortality rates have been shown to be raised in patients with type II diabetes but have not previously been reported by age and sex in patients with type I diabetes.

Methods: A cohort of 23 751 patients with insulin-treated diabetes, diagnosed under the age of 30 years from throughout the United Kingdom, was identified during 1972 to 1993 and followed up for mortality until the end of December 2000.