11 research outputs found

    Do the Potential Benefits of Metal-on-Metal Hip Resurfacing Justify the Increased Cost and Risk of Complications?

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    Metal-on-metal hip resurfacing arthroplasty (MoM HRA) may offer potential advantages over total hip arthroplasty (THA) for certain patients with advanced osteoarthritis of the hip. However, the cost effectiveness of MoM HRA compared with THA is unclear. The purpose of this study was to compare the clinical effectiveness and cost-effectiveness of MoM HRA to THA. A Markov decision model was constructed to compare the quality-adjusted life-years (QALYs) and costs associated with HRA versus THA from the healthcare system perspective over a 30-year time horizon. We performed sensitivity analyses to evaluate the impact of patient characteristics, clinical outcome probabilities, quality of life and costs on the discounted incremental costs, incremental clinical effectiveness, and the incremental cost-effectiveness ratio (ICER) of HRA compared to THA. MoM HRA was associated with modest improvements in QALYs at a small incremental cost, and had an ICER less than $50,000 per QALY gained for men younger than 65 and for women younger than 55. MoM HRA and THA failure rates, device costs, and the difference in quality of life after conversion from HRA to THA compared to primary THA had the largest impact on costs and quality of life. MoM HRA could be clinically advantageous and cost-effective in younger men and women. Further research on the comparative effectiveness of MoM HRA versus THA should include assessments of the quality of life and resource use in addition to the clinical outcomes associated with both procedures. Level I, economic and decision analysis. See Guidelines for Authors for a complete description of levels of evidence

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    The sequence and analysis of duplication-rich human chromosome 16

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    Human chromosome 16 features one of the highest levels of segmentally duplicated sequence among the human autosomes. We report here the 78,884,754 base pairs of finished chromosome 16 sequence, representing over 99.9% of its euchromatin. Manual annotation revealed 880 protein-coding genes confirmed by 1,670 aligned transcripts, 19 transfer RNA genes, 341 pseudogenes and three RNA pseudogenes. These genes include metallothionein, cadherin and iroquois gene families, as well as the disease genes for polycystic kidney disease and acute myelomonocytic leukaemia. Several large-scale structural polymorphisms spanning hundreds of kilobase pairs were identified and result in gene content differences among humans. Whereas the segmental duplications of chromosome 16 are enriched in the relatively gene-poor pericentromere of the p arm, some are involved in recent gene duplication and conversion events that are likely to have had an impact on the evolution of primates and human disease susceptibility.Joel Martin, Cliff Han, Laurie A. Gordon, Astrid Terry, Shyam Prabhakar, Xinwei She, Gary Xie, Uffe Hellsten, Yee Man Chan, Michael Altherr, Olivier Couronne, Andrea Aerts, Eva Bajorek, Stacey Black, Heather Blumer, Elbert Branscomb, Nancy C. Brown, William J. Bruno, Judith M. Buckingham, David F. Callen, Connie S. Campbell, Mary L. Campbell, Evelyn W. Campbell, Chenier Caoile, Jean F. Challacombe, Leslie A. Chasteen, Olga Chertkov, Han C. Chi, Mari Christensen, Lynn M. Clark, Judith D. Cohn, Mirian Denys, John C. Detter, Mark Dickson, Mira Dimitrijevic-Bussod, Julio Escobar, Joseph J. Fawcett, Dave Flowers, Dea Fotopulos, Tijana Glavina, Maria Gomez, Eidelyn Gonzales, David Goodstein, Lynne A. Goodwin, Deborah L. Grady, Igor Grigoriev, Matthew Groza, Nancy Hammon, Trevor Hawkins, Lauren Haydu, Carl E. Hildebrand, Wayne Huang, Sanjay Israni, Jamie Jett, Phillip B. Jewett, Kristen Kadner, Heather Kimball, Arthur Kobayashi, Marie-Claude Krawczyk, Tina Leyba, Jonathan L. Longmire, Frederick Lopez, Yunian Lou, Steve Lowry, Thom Ludeman, Chitra F. Manohar, Graham A. Mark, Kimberly L. McMurray, Linda J. Meincke, Jenna Morgan, Robert K. Moyzis, Mark O. Mundt, A. Christine Munk, Richard D. Nandkeshwar, Sam Pitluck, Martin Pollard Paul Predki, Beverly Parson-Quintana, Lucia Ramirez, Sam Rash, James Retterer, Darryl O. Ricke, Donna L. Robinson, Alex Rodriguez, Asaf Salamov, Elizabeth H. Saunders, Duncan Scott, Timothy Shough, Raymond L. Stallings, Malinda Stalvey, Robert D. Sutherland, Roxanne Tapia, Judith G. Tesmer, Nina Thayer, Linda S. Thompson, Hope Tice, David C. Torney, Mary Tran-Gyamfi, Ming Tsai, Levy E. Ulanovsky, Anna Ustaszewska, Nu Vo, P. Scott White, Albert L. Williams, Patricia L. Wills, Jung-Rung Wu, Kevin Wu, Joan Yang, Pieter DeJong, David Bruce, Norman A. Doggett, Larry Deaven, Jeremy Schmutz, Jane Grimwood, Paul Richardson, Daniel S. Rokhsar, Evan E. Eichler, Paul Gilna, Susan M. Lucas, Richard M. Myers, Edward M. Rubin and Len A. Pennacchi

    Exploring phylogeny to find the function of sleep

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    Teacher Competence

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