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James D. Neaton

Researcher at University of Minnesota

Publications -  352
Citations -  68183

James D. Neaton is an academic researcher from University of Minnesota. The author has contributed to research in topics: Risk factor & Blood pressure. The author has an hindex of 101, co-authored 331 publications receiving 64719 citations. Previous affiliations of James D. Neaton include University of Pittsburgh & Medical Research Council.

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Losartan to reduce inflammation and fibrosis endpoints in HIV disease.

TL;DR: Among older PHIV with viral suppression, losartan did not improve blood measures of inflammation nor T-cell immune recovery, and is unlikely to reduce inflammation associated co-morbidities to a clinically meaningful degree, beyond the benefits from lowering blood pressure.
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What drives willingness to receive a new vaccine that prevents an emerging infectious disease? A discrete choice experiment among university students in Uganda

TL;DR: The degree to which six attributes were associated with willingness to be vaccinated among university students in Uganda was assessed, which can be used to develop evidence-based messaging to encourage uptake for new vaccines.
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In silico thrombin generation: Plasma composition imbalance and mortality in human immunodeficiency virus.

TL;DR: It is shown that inflammation and HIV viral load associate with pro‐ and anticoagulant factor imbalances resulting in increased thrombin generation when mathematically modeled, exploring the hypothesis that factor compositional imbalance predicts mortality among HIV+ persons.
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Predictors of CD4 count change over 8 months of follow up in HIV-1-infected patients with a CD4 count>or=300 cells/microL who were assigned to 7.5 MIU interleukin-2.

TL;DR: ESPRIT is a randomized trial comparing the clinical impact of interleukin (IL)‐2 plus antiretrovirals vs antiretevirals alone, and identification of factors that influence the relationship between IL‐2 and CD4 count recovery will enable better personalization of treatment in HIV‐1‐positive individuals.
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A win ratio approach to the re-analysis of Multiple Risk Factor Intervention Trial:

TL;DR: The win ratio statistic is a useful adjunct to the traditional first event analysis for trials with composite outcomes, and was able to leverage information collected past the first experienced event and rank events by severity.