Mortality statistics represent important endpoints in epidemiological studies. The diagnostic validity of cerebral stroke and ischemic heart disease recorded as the underlying cause of death in Norwegian mortality statistics was assessed by using mortality data of participants in the Bergen Clinical Blood Pressure Study in Norway and autopsy records from the Gade Institute in Bergen. In the 41 years of the study (1965–2005) 4,387 subjects had died and 1,140 (26%) had undergone a post mortem examination; 548 (12%) died from cerebral stroke and 1,120 (24%) from ischemic heart disease according to the mortality statistics, compared to 113 (10%) strokes and 323 (28%) coronary events registered in the autopsy records. The sensitivity and positive predictive value of fatal cerebral strokes in the mortality statistics were 0.75, 95% confidence interval (CI) [0.66, 0.83] and 0.86 [0.77, 0.92], respectively, whereas those of coronary deaths were 0.87 [0.84, 0.91] and 0.85 [0.81, 0.89] respectively. Cohen’s Kappa coefficients were 0.78 [0.72, 0.84] for stroke and 0.80 [0.76, 0.84] for coronary deaths. In addition to female gender and increasing age at death, cerebral stroke was a negative predictor of an autopsy being carried out (odds ratio (OR) 0.69, 95% CI [0.54, 0.87]), whereas death from coronary heart disease was not (OR 1.14, 95% CI [0.97, 1,33]), both adjusted for gender and age at death. There was substantial agreement between mortality statistics and autopsy findings for both fatal strokes and coronary deaths. Selection for post mortem examinations was associated with age, gender and cause of death.

Background

Birth size, and particularly birth length, is positively associated with breast cancer risk in adulthood. The objective of this study was to examine whether birth size is associated with survival among breast cancer patients.

Methods

Information on birth size (weight, length and ponderal index (kg/length (m3)) was collected from birth archives for 331 breast cancer patients who were diagnosed at two university hospitals in Norway (Bergen and Trondheim). The patients were followed from the time of diagnosis until death from breast cancer, death from another cause, or to the end of follow-up, and birth size was related to survival, using Cox regression analysis.

Results

Breast cancer patients with birth length ≥ 52 cm had nearly twice the risk of dying (hazard ratio, 1.92, 95% confidence interval, 1.09-3.41) from breast cancer compared to women with birth length less than 48 cm, after adjustment for place of birth and year of diagnosis.

Similar analyses related to birth weight and ponderal index showed no clear association with breast cancer survival.

Conclusions

Poorer outcome of breast cancer patients with high birth length may reflect effects of factors that stimulate longitudinal growth and simultaneously increase the risk of metastases and fatal outcome. It is possible that the insulin-like growth factor (IGF) system is involved in the underlying mechanisms.