Gary G. Bennett, PhD; Perry Foley, MPH, MSW; Erica Levine, BA, MPH; et al.
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has multimedia
JAMA Intern Med. 2013;173(19):1770-1777. doi:10.1001/jamainternmed.2013.9263
Bennett et al compared changes in weight and cardiometabolic risk during a 12-month period among black women randomized to a primary care–based behavioral weight gain prevention intervention, relative to usual care. See invited critique by Benjamin et al.
Thomas M. Gill, MD; Terrence E. Murphy, PhD; Evelyne A. Gahbauer, MD, MPH; et al.
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JAMA Intern Med. 2013;173(19):1780-1786. doi:10.1001/jamainternmed.2013.9063
Gill et al identified distinct sets of functional trajectories in the year immediately before and after a serious fall injury, to evaluate the relationship between the prefall and postfall trajectories, and to determine whether these results differed based on the type of injury. See the invited commentary by Studenski.
Rebecca Smith-Bindman, MD; Paulette Lebda, MD; Vickie A. Feldstein, MD; et al.
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JAMA Intern Med. 2013;173(19):1788-1795. doi:10.1001/jamainternmed.2013.9245
Smith-Bindman and coauthors quantify the risk of thyroid cancer associated with thyroid nodules based on ultrasonographic imaging characteristics. See Invited Commentary by Alexander and Cooper.
David Grande, MD, MPA; Nandita Mitra, PhD; Anand Shah, MD, MSHP; et al.
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JAMA Intern Med. 2013;173(19):1798-1806. doi:10.1001/jamainternmed.2013.9166
Grande et al measured patient preferences about sharing their electronic health information for secondary purposes (other than their own health care). See the invited commentary by Kohane.
Shanshan Li, MD, MSc, ScD; Stephanie E. Chiuve, ScD; Alan Flint, MD, DrPH; et al.
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JAMA Intern Med. 2013;173(19):1808-1819. doi:10.1001/jamainternmed.2013.9768
Li et al evaluate the association between dietary quality and mortality after myocardial infarction in participants in the Nurses’ Health Study and the Health Professionals Follow-up Study.
Gearoid M. McMahon, MB, BCh; Xiaoxi Zeng, MD; Sushrut S. Waikar, MD, MPH
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JAMA Intern Med. 2013;173(19):1821-1827. doi:10.1001/jamainternmed.2013.9774
McMahon et al develop a risk prediction tool to identify patients at greatest risk of renal replacement therapy or in-hospital mortality. See the invited critique by Wilhelm-Leen and Winkelmayer.
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Invited Commentary
Predicting the Outcomes of Rhabdomyolysis: A Good Starting Point
Emilee R. Wilhelm-Leen, MD; Wolfgang C. Winkelmayer, MD, MPH, ScD