141. Comparative Effectiveness of Management Strategies for Renal Artery Stenosis: An Updated Systematic Review.
作者: Gowri Raman.;Gaelen P Adam.;Christopher W Halladay.;Valerie N Langberg.;Ijeoma A Azodo.;Ethan M Balk.
来源: Ann Intern Med. 2016年165卷9期635-649页
Atherosclerotic renal artery stenosis (ARAS) is associated with high blood pressure (BP), decreased kidney function, renal replacement therapy (RRT), and death.
142. Calcium Intake and Cardiovascular Disease Risk: An Updated Systematic Review and Meta-analysis.
作者: Mei Chung.;Alice M Tang.;Zhuxuan Fu.;Ding Ding Wang.;Sydne Jennifer Newberry.
来源: Ann Intern Med. 2016年165卷12期856-866页
Conflicting evidence exists regarding potential cardiovascular risks associated with high levels of calcium intake.
143. Lack of Evidence Linking Calcium With or Without Vitamin D Supplementation to Cardiovascular Disease in Generally Healthy Adults: A Clinical Guideline From the National Osteoporosis Foundation and the American Society for Preventive Cardiology.
作者: Stephen L Kopecky.;Douglas C Bauer.;Martha Gulati.;Jeri W Nieves.;Andrea J Singer.;Peter P Toth.;James A Underberg.;Taylor C Wallace.;Connie M Weaver.
来源: Ann Intern Med. 2016年165卷12期867-868页
Calcium is the dominant mineral present in bone and a shortfall nutrient in the American diet. Supplements have been recommended for persons who do not consume adequate calcium from their diet as a standard strategy for the prevention of osteoporosis and related fractures. Whether calcium with or without vitamin D supplementation is beneficial or detrimental to vascular health is not known.
150. Recommendations for the Conduct and Reporting of Modeling and Simulation Studies in Health Technology Assessment.
作者: Issa J Dahabreh.;Thomas A Trikalinos.;Ethan M Balk.;John B Wong.
来源: Ann Intern Med. 2016年165卷8期575-581页
Models and simulations are valuable tools for addressing the uncertainty, tradeoffs, and heterogeneous preferences that complicate research questions in health technology assessment. This article presents recommendations for the conduct and reporting of modeling and simulation studies based on a systematic review of published recommendation statements, a survey of Web sites of international health technology assessment organizations, and input from experts and other stakeholders. The recommendations apply to mathematical models that represent structural relationships among model components and integrate information from multiple sources; they address model identification, estimation, verification, and validation, as well as the conduct of sensitivity, stability, and uncertainty analyses. They are organized into model conceptualization and structure, data, model assessment and consistency, and interpreting and reporting results. They should contribute to increased use and better conduct and reporting of modeling and simulation studies in health technology assessment.
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