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John A. Gaines

Researcher at University of Arizona

Publications -  23
Citations -  1229

John A. Gaines is an academic researcher from University of Arizona. The author has contributed to research in topics: Persistent fetal circulation & Neonatal intensive care unit. The author has an hindex of 13, co-authored 23 publications receiving 1199 citations.

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Plasma lipid and lipoprotein responses to dietary fat and cholesterol: a meta-analysis.

TL;DR: Predictions indicated that compliance with current dietary recommendations will reduce plasma total and low-density-lipoprotein-cholesterol concentrations by approximately 5% compared with amounts associated with the average American diet.
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The Prediction of Sexual Aggression by Alcohol Use, Athletic Participation, and Fraternity Affiliation

TL;DR: In this paper, the authors assessed the joint contribution of alcohol, athletics, and fraternities to the prediction of sexual aggression among a sample of 530 undergraduate men including 140 athletes representing all varsity sports.
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Serum Prostate-Specific Antigen and Prostate Pathology in Men Having Simple Prostatectomy

TL;DR: Serum PSA levels were significantly elevated in both low- and high-grade carcinoma, acute inflammation, and PIN when compared with the patients with benign hyperplasia with and without chronic inflammation and within the four groups with elevated levels, use of PSA Levels could separate only the high- grade cancer patients who were subsequently shown to have metastatic disease.
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Computed tomographic analysis of renal calculi.

TL;DR: An in vitro study sought to determine the feasibility of using computed tomography to analyze the chemical composition of renal calculi and thus aid in selecting the best treatment method, and showed that the mean and standard deviation of the stones' pixel values were the best CT parameters for differentiating types of renal Calculi.
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Exercise Testing Three Weeks after Myocardial Infarction

TL;DR: The data suggest that the exercise test is safe and useful in management and may be valuable in predicting coronary events after hospitalization following myocardial infarction.