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Mayo Clinic

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ABC's of Writing Medical Papers in English
Baron, Todd H.

Korean Journal of Radiology | April 26, 2012 | Volume: 13 | Issue: Suppl 1 | Pages: S1

10.3348/kjr.2012.13.s1.s1 | PMID 22563279 Get It

Outcome disparities in multiple myeloma: a SEER‐based comparative analysis of ethnic subgroups
Yang, Dongyun , Razavi, Pedram , Sher, Taimur , Chanan‐Khan, Asher , Ailawadhi, Sikander , Aldoss, Ibrahim , Cozen, Wendy

British Journal of Haematology | April 26, 2012 | Volume: 158 | Issue: 1 | Pages: 91-98

10.1111/j.1365-2141.2012.09124.x | PMID 22533740 Get It

SummaryStudies of ethnic disparities in malignancies have revealed variation in clinical outcomes. In multiple myeloma (MM), previous literature has focused only on patients of Caucasian and African‐American (AA) descent. We present a Surveillance Epidemiology and End Results (SEER)‐based outcome analysis of MM patients from a broader range of ethnicities, representing current United States demographics. The SEER 17 Registry data was utilized to analyse adult MM patients diagnosed since 1992 (n = 37 963), as patients of other ethnicities were not well represented prior to that. Overall survival (OS) and myeloma‐specific survival (MSS) were compared across different ethnicities stratified by year of diagnosis, registry identification, age, sex and marital‐status. Hispanics had the youngest median age at diagnosis (65 years) and Whites had the oldest (71 years) (P < 0·001). Increased age at diagnosis was an independent predictor of decreased OS and MSS. Asians had the best median OS (2·7 years) and MSS (4·1 years), while Hispanics had the worst median OS (2·4 years). These trends were more pronounced in patients ≥75 years. Cumulative survival benefit over successive years was largest among Whites (1·3 years) and smallest among Asians (0·5 years). These disparities may be secondary to multifactorial causes that need to be explored and should be considered for optimal triaging of healthcare resources.
Evaluation of correlation between dose and clinical outcomes in subcutaneous immunoglobulin replacement therapy
Orange, Jordan S. , Belohradsky, B. H., Berger, Madelyn , Borte, Michael, Jolles, Stephen , Baggish, Jeffrey S., Saunders, Rhodri , Hagan, John P. , Wasserman, Richard L. , Grimbacher, Bodo

Clinical and Experimental Immunology | April 25, 2012 | Volume: 169 | Issue: 2 | Pages: 172-181

10.1111/j.1365-2249.2012.04594.x | PMID 22774992 Get It

Summary The importance of serum immunoglobulin (Ig)G concentration in IgG replacement therapy for primary immunodeficiency diseases is established in certain settings. Generally, IgG is infused via the intravenous (IVIG) or subcutaneous (SCIG) route. For IVIG infusion, published data demonstrate that higher IgG doses and trough levels provide patients with improved protection from infection. The same conclusions are not yet accepted for SCIG; data from two recent Phase III studies and a recent post-hoc analysis, however, suggest the same correlation between higher SCIG dose and serum IgG concentration and decreased incidence of infection seen with IVIG. Other measures of clinical efficacy have not been considered similarly. Thus, combined analyses of these and other published SCIG studies were performed; a full comparison of the 13 studies was, however, limited by non-standardized definitions and reporting. Despite these limitations, our analyses indicate that certain clinical outcomes improve at higher SCIG doses and associated higher serum IgG concentrations, and suggest that there might be opportunity to improve patient outcomes via SCIG dose adjustment.
The role of genetic breast cancer susceptibility variants as prognostic factors
Fasching, Peter A. , Cox, Angela , Nevanlinna, Heli , Bojesen, Stig E. , Karn, Thomas , Leeuwen, Flora E. van , Veer, Laura van ‘t , Udo, Renate, Dunning, Alison M. , Greco, Dario , Aittomäki, Kristiina, Blomqvist, Carl , Shah, Mitul , Nordestgaard, Børge G. , Flyger, Henrik, Hopper, John L. , Southey, Melissa C. , Apicella, Carmel, García‐Closas, Montserrat , Sherman, Mark E., Lissowska, Jolanta , Seynaeve, Caroline, Huijts, Petra E.A., Tollenaar, Rob A.�E.�M. , Ekici, Arif B. , Rauh, Claudia , Mannermaa, Arto, Kataja, Vesa , Kosma, Veli-Matti, Hartikainen, Jaana M. , Andrulis, Irene L. , Özçelik, Hilmi, Mulligan, Anna Marie , Glendon, Gord, Czene, Kamila , Liu, Jianjun , Chang‐Claude, Jenny , Wang‐Gohrke, Shan , Eilber, Ursula, Nickels, Stefan , Dörk, Thilo , Schiekel, Maria, Bremer, Michael , Park‐Simon, Tjoung‐Won, Giles, Graham G. , Severi, Gianluca , Baglietto, Laura , Hooning, Maartje J. , Jager, Agnes , Kriege, Mieke, Lindblom, Annika , Margolin, Sara , Stevens, Kristen N., Kosel, Matthew , Cross, Simon S. , Balasubramanian, Sabapathy P. , Reed, Malcolm , Miron, Alexander, John, Esther M. , Winqvist, Robert , Pylkäs, Katri , Jukkola‐Vuorinen, Arja , Kauppila, Saila , Burwinkel, Barbara , Schneeweiß, Andreas , Sohn, Christof , Chenevix‐Trench, Georgia , Investigators, kConFab, Lambrechts, Diether , Dieudonné, Anne-Sophie, Hatse, Sigrid , Limbergen, Erik Van, Zamora, M. Pilar , Peissel, Bernard , Loris, Bernard, Peterlongo, Paolo , Rajaraman, Preetha , Beckmann, Matthias W. , Slamon, Dennis J. , Phillips, Kelly‐Anne , Humphreys, Manjeet K., Easton, Douglas F. , Schmidt, Marjanka K. , Thorne, Heather , Purrington, Kristen S. , Lambrechts, Diether , Pharoah, Paul D.P. , Broeks, Annegien , Veer, Laura J. van’t , Ziogas, Argyrios , Mannermaa, Arto, Hall, Per N , Martens, John W.M. , Couch, Fergus J. , Olson, Janet E. , Marmé, Frederik , Investigators, kConFab, Benı́tez, Javier , Milne, Roger L. , Pérez, José Ignacio Arias , Bonanni, Bernardo , Schonfeld, Sara J. , Anton‐Culver, Hoda , Devilee, Peter , Figueroa, Jonine D. , Nevanlinna, H , Dörk, Thilo , Lambrechts, Diether , Giles, Graham G , Peterlongo, Paolo , Lissowska, Jolanta , John, Esther M , Southey, Melissa C , Dunning, Alison M , Lambrechts, Diether , Cox, Angela , García-Closas, Montserrat , Schmidt, Marjanka K , Severi, Gianluca , Ekici, Arif B , Hartikainen, Jaana M , Chenevix-Trench, Georgia , Czene, Kamila , Pylkäs, Katri , Baglietto, Laura , Bojesen, Stig E , Purrington, Kristen S , Phillips, Kelly-Anne , Lindblom, Annika , Liu, Jing

Human Molecular Genetics | April 25, 2012 | Volume: 21 | Issue: 17 | Pages: 3926-3939

10.1093/hmg/dds159 | PMID 22532573 Get It

Structured Markov Chain Monte Carlo
Carlin, Bradley P. , Sargent, Daniel J. , Hodges, James S.

Journal of Computational and Graphical Statistics | April 24, 2012 | Volume: 9 | Issue: 2 | Pages: 217-234

10.1080/10618600.2000.10474877 Get It

Discharge Rates of Medicare Stroke Patients to Skilled Nursing Facilities: Bayesian Logistic Regression with Unobserved Heterogeneity
Kahn, Michael , Raftery, Adrian E.

Journal of the American Statistical Association | April 24, 2012 | Volume: 91 | Issue: 433 | Pages: 29-41

10.1080/01621459.1996.10476661 Get It

Survival Analysis with Median Regression Models
Ying, Z. , Jung, Sin‐Ho , Wei, L. J.

Journal of the American Statistical Association | April 24, 2012 | Volume: 90 | Issue: 429 | Pages: 178-184

10.1080/01621459.1995.10476500 Get It

A Lack-of-Fit Test for the Mean Function in a Generalized Linear Model
Su, John Q., Wei, L. J.

Journal of the American Statistical Association | April 24, 2012 | Volume: 86 | Issue: 414 | Pages: 420-426

10.1080/01621459.1991.10475059 Get It

Comparing Two Samples: Extensions of the t , Rank-Sum, and Log-Rank Tests
O’Brien, Peter C.

Journal of the American Statistical Association | April 24, 2012 | Volume: 83 | Issue: 401 | Pages: 52-61

10.1080/01621459.1988.10478564 Get It

Whole-genome sequencing of multiple myeloma from diagnosis to plasma cell leukemia reveals genomic initiating events, evolution, and clonal tides
Egan, Jan B. , Shi, Chang-Xin, Tembe, Waibhav, Christoforides, Alexis, Kurdoglu, Ahmet, Sinari, Shripad, Middha, Sumit , Asmann, Yan W. , Schmidt, Jessica, Braggio, Esteban , Keats, Jonathan J. , Fonseca, Rafaël , Bergsagel, P. Leif , Craig, David W. , Carpten, John D. , Stewart, A. Keith, Bergsagel, P. Leif , Braggio, Esteban , Keats, Jonathan J , Fonseca, Rafael

Blood | April 24, 2012 | Volume: 120 | Issue: 5 | Pages: 1060-1066

10.1182/blood-2012-01-405977 | PMID 22529291 Get It

Abstract The longitudinal evolution of a myeloma genome from diagnosis to plasma cell leukemia has not previously been reported. We used whole-genome sequencing (WGS) on 4 purified tumor samples and patient germline DNA drawn over a 5-year period in a t(4;14) multiple myeloma patient. Tumor samples were acquired at diagnosis, first relapse, second relapse, and end-stage secondary plasma cell leukemia (sPCL). In addition to the t(4;14), all tumor time points also shared 10 common single-nucleotide variants (SNVs) on WGS comprising shared initiating events. Interestingly, we observed genomic sequence variants that waxed and waned with time in progressive tumors, suggesting the presence of multiple independent, yet related, clones at diagnosis that rose and fell in dominance. Five newly acquired SNVs, including truncating mutations of RB1 and ZKSCAN3, were observed only in the final sPCL sample suggesting leukemic transformation events. This longitudinal WGS characterization of the natural history of a high-risk myeloma patient demonstrated tumor heterogeneity at diagnosis with shifting dominance of tumor clones over time and has also identified potential mutations contributing to myelomagenesis as well as transformation from myeloma to overt extramedullary disease such as sPCL.