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Christopher J. O'Donnell

Researcher at VA Boston Healthcare System

Publications -  914
Citations -  140860

Christopher J. O'Donnell is an academic researcher from VA Boston Healthcare System. The author has contributed to research in topics: Framingham Heart Study & Genome-wide association study. The author has an hindex of 159, co-authored 869 publications receiving 126278 citations. Previous affiliations of Christopher J. O'Donnell include Brown University & Veterans Health Administration.

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Fatal aortoesophageal fistula secondary to button battery ingestion in a young child

TL;DR: The importance of a high index of suspicion for battery ingestion in children, the need for clinicians to recognize a button battery on radiography, and the value of routine postmortem imaging in the detection of findings that may be relevant to the autopsy are highlighted.
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Maize Productivity and Input Subsidies in Malawi: A State-Contingent Stochastic Production Frontier Approach

TL;DR: In this paper, the authors make cross-sectional comparisons of productivity in a risky agricultural setting and find that differences in productivity are mainly due to differences in environment and scale-mix efficiency.
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A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program

TL;DR: It is concluded that height may be an unrecognized but biologically plausible risk factor for several common conditions in adults and more studies are needed to reliably exclude horizontal pleiotropy as a driving force behind at least some of the MR associations observed in this study.
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Post-mortem CT lung findings at a medicolegal institute in SARS-CoV-2 RT-PCR positive cases with autopsy correlation.

TL;DR: In this paper, the authors explore the proposition that PMCT could be used as screening test for CoVID-19 pneumonia and show that even with positive swabs, clinical CoVID19 lung findings on PMCT are often not detected.
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An Econometric Approach To Estimating Support Prices And Measures Of Productivity Change In Public Hospitals

TL;DR: In this article, the authors use linear programming to construct a quantity index and use this approach to estimate productivity indexes and support (or shadow) prices for a sample of Australian public hospitals, finding that the productivity effects of improvements in input-oriented technical efficiency have been largely offset by the effects of deteriorations in the production environment over time.