AJDRAJNR - American Journal of Neuroradiology

This Article
Right arrow Abstract Freely available
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hoh, B. L.
Right arrow Articles by Barker, F. G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hoh, B. L.
Right arrow Articles by Barker, F. G., II

In-Hospital Morbidity and Mortality after Endovascular Treatment of Unruptured Intracranial Aneurysms in the United States, 1996–2000: Effect of Hospital and Physician Volume

Brian L. Hoha,c, James D. Rabinovb,d, Johnny C. Pryora,b,c, Bob S. Cartera,c and Fred G. Barker, IIa,c

a Neurosurgical Service, Massachusetts General Hospital, Boston, MA
b Department of Radiology, Massachusetts General Hospital, Boston, MA
c Department of Surgery, Harvard Medical School, Boston, MA
d Department of Radiology, Harvard Medical School, Boston, MA



View larger version (17K):

[in a new window]
 
FIG 1. Bar graphs show probability of in-hospital mortality (A) and discharge other than to home (B) in relation to hospital volume of endovascular treatment of unruptured intracranial aneurysms, by quartile. Error bars, 95% confidence intervals.



View larger version (15K):

[in a new window]
 
FIG 2. Bar graphs show probability of in-hospital mortality (A) and discharge other than to home (B) in relation to treating physician volume of endovascular treatment of unruptured intracranial aneurysms, by quartile. Error bars, 95% confidence intervals.



View larger version (10K):

[in a new window]
 
FIG 3. c statistic (a generalization of the area under the receiver operating characteristic curve for ordinal models) plotted against cutoff points to divide high volume providers from low volume providers. The c statistic for all possible cutoff points is within the 95% confidence interval for the best cutoff point, indicating that the data fail to support a unique caseload value under which patient outcomes are evidently inferior.