scispace - formally typeset
Search or ask a question
Institution

University of Iowa

EducationIowa City, Iowa, United States
About: University of Iowa is a education organization based out in Iowa City, Iowa, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 49229 authors who have published 109171 publications receiving 5021465 citations. The organization is also known as: UI & The University of Iowa.


Papers
More filters
Journal ArticleDOI
08 Feb 2006-JAMA
TL;DR: Among postmenopausal women, a low-fat dietary pattern did not result in a statistically significant reduction in invasive breast cancer risk over an 8.1-year average follow-up period, and the nonsignificant trends observed indicate that longer, planned, nonintervention follow- up may yield a more definitive comparison.
Abstract: ContextThe hypothesis that a low-fat dietary pattern can reduce breast cancer risk has existed for decades but has never been tested in a controlled intervention trial.ObjectiveTo assess the effects of undertaking a low-fat dietary pattern on breast cancer incidence.Design and SettingA randomized, controlled, primary prevention trial conducted at 40 US clinical centers from 1993 to 2005.ParticipantsA total of 48 835 postmenopausal women, aged 50 to 79 years, without prior breast cancer, including 18.6% of minority race/ethnicity, were enrolled.InterventionsWomen were randomly assigned to the dietary modification intervention group (40% [n = 19 541]) or the comparison group (60% [n = 29 294]). The intervention was designed to promote dietary change with the goals of reducing intake of total fat to 20% of energy and increasing consumption of vegetables and fruit to at least 5 servings daily and grains to at least 6 servings daily. Comparison group participants were not asked to make dietary changes.Main Outcome MeasureInvasive breast cancer incidence.ResultsDietary fat intake was significantly lower in the dietary modification intervention group compared with the comparison group. The difference between groups in change from baseline for percentage of energy from fat varied from 10.7% at year 1 to 8.1% at year 6. Vegetable and fruit consumption was higher in the intervention group by at least 1 serving per day and a smaller, more transient difference was found for grain consumption. The number of women who developed invasive breast cancer (annualized incidence rate) over the 8.1-year average follow-up period was 655 (0.42%) in the intervention group and 1072 (0.45%) in the comparison group (hazard ratio, 0.91; 95% confidence interval, 0.83-1.01 for the comparison between the 2 groups). Secondary analyses suggest a lower hazard ratio among adherent women, provide greater evidence of risk reduction among women having a high-fat diet at baseline, and suggest a dietary effect that varies by hormone receptor characteristics of the tumor.ConclusionsAmong postmenopausal women, a low-fat dietary pattern did not result in a statistically significant reduction in invasive breast cancer risk over an 8.1-year average follow-up period. However, the nonsignificant trends observed suggesting reduced risk associated with a low-fat dietary pattern indicate that longer, planned, nonintervention follow-up may yield a more definitive comparison.Clinical Trials RegistrationClinicalTrials.gov Identifier: NCT00000611

740 citations

Journal ArticleDOI
TL;DR: The findings from the Predict-HD study suggest the approximate time scale of measurable disease development, and suggest candidate disease markers for use in preventive HD trials.
Abstract: Objective: The objective of the Predict-HD study is to use genetic, neurobiological and refined clinical markers to understand the early progression of Huntington’s disease (HD), prior to the point of traditional diagnosis, in persons with a known gene mutation. Here we estimate the approximate onset and initial course of various measurable aspects of HD relative to the time of eventual diagnosis. Methods: We studied 438 participants who were positive for the HD gene mutation, but did not yet meet the diagnostic criteria for HD and had no functional decline. Predictability of baseline cognitive, motor, psychiatric and imaging measures was modelled non-linearly using estimated time until diagnosis (based on CAG repeat length and current age) as the predictor. Results: Estimated time to diagnosis was related to most clinical and neuroimaging markers. The patterns of association suggested the commencement of detectable changes one to two decades prior to the predicted time of clinical diagnosis. The patterns were highly robust and consistent, despite the varied types of markers and diverse measurement methodologies. Conclusions: These findings from the Predict-HD study suggest the approximate time scale of measurable disease development, and suggest candidate disease markers for use in preventive HD trials.

740 citations

Journal ArticleDOI
TL;DR: A better understanding of brain systems that inhibit the amygdala, as well as the role of its very high levels of peptides, might eventually lead to the development of more effective pharmacological strategies for treating clinical anxiety and memory disorders.

738 citations

Journal ArticleDOI
TL;DR: The view that adult articular cartilage is an inert bearing surface, like high-density polyethylene or metal, and that degeneration of the articular surface with age is the result of mechanical wear with inevitable, irreversible loss of structure and mechanical performance resulting from joint use is supported.
Abstract: Joint pain and loss of mobility are among the most common causes of impairment in middle-aged and older people36,134. In many instances, the degeneration of articular cartilage and alterations in other joint tissues that result from the loss of structure and function of articular cartilage cause the pain and the loss of motion28,46,47,85,118,150. This occurs most frequently in the clinical syndrome of idiopathic or primary osteoarthrosis, but it may also result from joint injury or from developmental, metabolic, and inflammatory disorders that destroy the articular surface, causing secondary osteoarthrosis28,46,118. An understanding of the degeneration of articular cartilage, osteoarthrosis, and the potential for restoring an articular surface depends to a large extent on an appreciation of the biological behavior and the responsiveness of articular cartilage to injury and disease. Of considerable importance is the observation, first reported centuries ago and confirmed by multiple investigators over the last fifty years, that adult articular cartilage does not have the capacity to repair structural damage resulting from injury or disease29,32,71. This observation has contributed to the view that adult articular cartilage is an inert bearing surface, like high-density polyethylene or metal, and that degeneration of the articular surface with age is the result of mechanical wear with inevitable, irreversible loss of structure and mechanical performance resulting from joint use62. The implication of this view is that, other than limiting joint use or loading, little or nothing can be done to prevent the degeneration of articular cartilage, and the most appropriate treatment for advanced degeneration of cartilage leading to the clinical syndrome of osteoarthrosis is replacement of the articular surface. Alternatively, if articular cartilage is …

738 citations

Journal ArticleDOI
TL;DR: The results lead to the conclusion that patellar groove cartilage can undergo greater and faster compression under high compressive loads and can more rapidly compress to create a congruent patellofemoral joint articulation.

738 citations


Authors

Showing all 49661 results

NameH-indexPapersCitations
Stephen V. Faraone1881427140298
Jie Zhang1784857221720
D. M. Strom1763167194314
Bradley T. Hyman169765136098
John H. Seinfeld165921114911
David Jonathan Hofman1591407140442
Stephen J. O'Brien153106293025
John T. Cacioppo147477110223
Mark Raymond Adams1471187135038
E. L. Barberio1431605115709
Andrew Ivanov142181297390
Stephen J. Lippard141120189269
Russell Richard Betts140132395678
Barry Blumenfeld1401909105694
Marcus Hohlmann140135694739
Network Information
Related Institutions (5)
University of Washington
305.5K papers, 17.7M citations

95% related

Columbia University
224K papers, 12.8M citations

95% related

University of California, San Diego
204.5K papers, 12.3M citations

94% related

University of Michigan
342.3K papers, 17.6M citations

94% related

Harvard University
530.3K papers, 38.1M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023154
2022727
20214,129
20203,902
20193,763
20183,659