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Inmaculada Aban

Researcher at University of Alabama at Birmingham

Publications -  238
Citations -  9489

Inmaculada Aban is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Heart failure & Ejection fraction. The author has an hindex of 44, co-authored 221 publications receiving 7928 citations. Previous affiliations of Inmaculada Aban include University of Nevada, Reno & Veterans Health Administration.

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Randomized trial of thymectomy in myasthenia gravis

TL;DR: Thymectomy improved clinical outcomes over a 3-year period in patients with nonthymomatous myasthenia gravis, with fewer treatment-associated symptoms related to immunosuppressive medications and lower distress levels related to symptoms.
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Valganciclovir for Symptomatic Congenital Cytomegalovirus Disease

David W. Kimberlin, +43 more
TL;DR: Treating symptomatic congenital CMV disease with valganciclovir for 6 months, as compared with 6 weeks, did not improve hearing in the short term but appeared to improve hearing and developmental outcomes modestly in the longer term.
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Effects of Dietary Sodium Reduction on Blood Pressure in Subjects With Resistant Hypertension: Results From a Randomized Trial

TL;DR: The results indicate that excessive dietary sodium ingestion contributes importantly to resistance to antihypertensive treatment and strategies to substantially reduce dietary salt intake should be part of the overall treatment of resistant hypertension.
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Digoxin and Reduction in Mortality and Hospitalization in Heart Failure: A Comprehensive Post-Hoc Analysis of the DIG Trial

TL;DR: Digoxin at SDC 0.5-0.9 ng/mL reduces mortality and hospitalizations in all HF patients, including those with preserved systolic function, and at higher SDC, digoxin reduces HF hospitalization but has no effect on mortality or all-cause hospitalizations.
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Parameter Estimation for the Truncated Pareto Distribution

TL;DR: The Pareto distribution is a simple model for nonnegative data with a power law probability tail as mentioned in this paper, and there is a natural upper bound that truncates the probability tail.