The relationship between body mass index and breast cancer recurrence/progression and breast cancer-specific death

The aim of this study was to describe the nonlinear association between body mass index (BMI) and breast cancer outcomes and to determine whether BMI improves prediction of outcomes. A cohort of906 breast cancer patients diagnosed at Henry Ford Health System, Detroit (1985-1990) were studied. The median follow-up was 10 years. Multivariate logistic regression was used to model breast cancer recurrence/progression and breast cancer-specific death. Restricted cubic splines were used to model nonlinear effects. Receiver operator characteristic areas under the curves (ROC AUC) were used to evaluate prediction. BMI was nonlinearly associated with recurrence/progression and death (p= 0.0230 and 0.0101). Probability of outcomes increased with increase or decrease ofBMI away from 25. BMI splines were suggestive of improved prediction of death. The ROC AUCs for nested models with and without BMI were 0.8424 and 0.8331 (p= 0.08). I f causally associated, modifying patients BMI towards 25 may improve outcomes.

Name Index

Index of names for the Survey of Lands for the Welland Canal Company. The index includes names for people whos lands were surveyed on the line of the canal. The index also includes a very basic geographic location of the lands in reference to the canal (for example, east, west, resevoir. No page numbers are listed.

Welland Canal Survey of Lands Name Index Page 2

Index of names for the Welland Canal Company's Survey of Land book, 1826. Includes persons name, land cultivated, uncultivated, total land and remarks. The remarks noted include; who surveyed the lands, the dates of the survey, former property names, additional property features etc.The page is titled: Statement of Lands Surveyed and appropriated to the use of the Welland Canal Company.