Alan Oglesby
Eli Lilly and Company
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Publication
Featured researches published by Alan Oglesby.
Bone | 2003
John A. Kanis; Anders Odén; Olof Johnell; C De Laet; Bengt Jönsson; Alan Oglesby
A high excess mortality is well described after hip fracture. Deaths are in part related to comorbidity and in part due directly or indirectly to the hip fracture event itself (causally related deaths). The aim of this study was to examine the quantum and pattern of mortality following hip fracture. We studied 160,000 hip fractures in men and women aged 50 years or more, in 28.8 million person-years from the patient register of Sweden, using Poisson models applied to hip fracture patients and the general population. At all ages the risk of death was markedly increased compared with population values immediately after the event. Mortality subsequently decreased over a period of 6 months, but thereafter remained higher than that of the general population. The latter function was assumed to account for deaths related to comorbidity and the residuum assumed to be due to the hip fracture. Causally related deaths comprised 17-32% of all deaths associated with hip fracture (depending on age) and accounted for more than 1.5% of all deaths in the population aged 50 years or more. Hip fracture was a more common cause for mortality than pancreatic or stomach cancer. Thus, interventions that decreased hip fracture rate by, say, 50% would avoid 0.75% or more of all deaths.
Journal of Bone and Mineral Research | 2004
Helena Johansson; Anders Odén; Olof Johnell; Bengt Jönsson; Chris De Laet; Alan Oglesby; Eugene McCloskey; Karthik Kayan; Tarja Jalava; John A. Kanis
The aim of this study was to optimize the use of BMD measurements in case finding strategies. The use of clinical risk factors with and without BMD was explored in a random sample of the Sheffield female population ≥75 years of age. The use of clinical risk factors alone could identify women well above or well below a threshold of fracture risk. BMD assessment can be confined to a minority of women (∼20%) in whom the measurement aids in prognostication of fracture.
Cost Effectiveness and Resource Allocation | 2006
Alan Oglesby; Kristina Secnik; John Barron; Ibrahim S. Al-Zakwani; Maureen J. Lage
BackgroundThe objective of this research is to quantify the association between direct medical costs attributable to type 2 diabetes and level of glycemic control.MethodsA longitudinal analysis using a large health plan administrative database was performed. The index date was defined as the first date of diabetes diagnosis and individuals had to have at least two HbA1c values post index date in order to be included in the analyses. A total of 10,780 individuals were included in the analyses. Individuals were stratified into groups of good (N = 6,069), fair (N = 3,586), and poor (N = 1,125) glycemic control based upon mean HbA1c values across the study period. Differences between HbA1c groups were analyzed using a generalized linear model (GLM), with differences between groups tested by utilizing z-statistics. The analyses allowed a wide range of factors to affect costs.Results42.1% of those treated only with oral agents, 66.1% of those treated with oral agents and insulin, and 57.2% of those treated with insulin alone were found to have suboptimal control (defined as fair or poor) throughout the study period (average duration of follow-up was 2.95 years). Results show that direct medical costs attributable to type 2 diabetes were 16% lower for individuals with good glycemic control than for those with fair control (
Bone | 2002
John A. Kanis; Olof Johnell; Anders Odén; C De Laet; Alan Oglesby; Bengt Jönsson
1,505 vs.
Current Medical Research and Opinion | 2005
Joshua A. Ray; Wj Valentine; Kristina Secnik; Alan Oglesby; Anna Cordony; Adam Gordois; Peter Davey; Andrew J. Palmer
1,801, p < 0.05), and 20% lower for those with good glycemic control than for those with poor control (
Journal of Diabetes and Its Complications | 2004
Adam Gordois; Paul Anthony Scuffham; Arran Shearer; Alan Oglesby
1,505 vs.
Health and Quality of Life Outcomes | 2006
Kristina S. Boye; Louis S. Matza; Alan Oglesby; Karen Malley; Sunny Kim; Risa P. Hayes; Robert Brodows
1,871, p < 0.05). Prescription drug costs were also significantly lower for individuals with good glycemic control compared to those with fair (
Current Medical Research and Opinion | 2007
Andrew P. Yu; Eric Q. Wu; Howard G. Birnbaum; Srinivas Emani; Madeleine Fay; Gerhardt Pohl; Matthew Wintle; Elaine Yang; Alan Oglesby
377 vs.
Value in Health | 2008
Michael E. Minshall; Alan Oglesby; Matthew Wintle; Wj Valentine; S Roze; Andrew J. Palmer
465, p < 0.05) or poor control (
Health and Quality of Life Outcomes | 2008
Louis S. Matza; Matthew D. Rousculp; Karen Malley; Kristina S. Boye; Alan Oglesby
377 vs.