Results 11 to 20 of about 561,995 (314)

Incorporating progesterone receptor expression into the PREDICT breast prognostic model

, 2022
Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of ...
Hartman, Mikael, Margolin, Sara, Couch, Fergus J, Winqvist, Robert, Presneau, Nadege, Andrulis, Irene L, Ito, Hidemi, Anton-Culver, Hoda, Jung, Audrey, Eccles, Diana M, Kang, Daehee, Tawfiq, Essa, Easton, Douglas F, Bolla, Manjeet K, Torres, Diana, Hall, Per, Floris, Giuseppe, Castelao, Jose E, Abubakar, Mustapha, Jakubowska, Anna, González-Neira, Anna, van Deurzen, Carolien H M, Schoemaker, Minouk J, García-Closas, Montserrat, Howell, Sacha J, Osorio, Ana, Bonanni, Bernardo, Offit, Kenneth, Newman, William G, Lubiński, Jan, Beckmann, Matthias W, Hou, Ming-Feng, Nevanlinna, Heli, Lambrechts, Diether, Hein, Alexander, Czene, Kamila, Cross, Simon S, Devilee, Peter, Dunning, Alison M, Schochter, Fabienne, Gabrielson, Marike, Evans, D Gareth, Pharoah, Paul D P, Li, Jingmei, Giles, Graham G, Teras, Lauren R, Blows, Fiona M, Schmidt, Marjanka K, Hamann, Ute, Harkness, Elaine F, Choi, Ji-Yeob, Eriksson, Mikael, Vachon, Celine M, Manoochehri, Mehdi, Pylkäs, Katri, Schneeweiss, Andreas, Kristensen, Vessela N, Park, Sue K, Blomqvist, Carl, Fox, Stephen, Burwinkel, Barbara, Williams, Justin A, Gago-Dominguez, Manuela, García-Sáenz, José A, Radice, Paolo, Dwek, Miriam, Shen, Chen-Yang, Briceno, Ignacio, Haeberle, Lothar, Wendt, Camilla, Ernst, Kristina, Sinn, Peter, Hooning, Maartje J, John, Esther M, Fink, Visnja, Dörk, Thilo, Clarke, Christine L, Haiman, Christopher A, Teo, Soo Hwang, ABCTB Investigators, Bojesen, Stig E, Tapper, William J, Rack, Brigitte, Romero, Atocha, Patel, Alpa V, Milne, Roger L, Rennert, Gad, Mulligan, Anna Marie, Camp, Nicola J, Swerdlow, Anthony J, Figueroa, Jonine D, Fasching, Peter A, Cox, Angela, Grootes, Isabelle, Janni, Wolfgang, Elwood, Mark, Park-Simon, Tjoung-Won, Saloustros, Emmanouil, kConFab Investigators, Sawyer, Elinor J, Keeman, Renske, Matsuo, Keitaro, Kwong, Ava, Taib, Nur Aishah Mohd, Shibli, Rana   +104 more
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Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis. [PDF]

, 2021
BACKGROUND Prognosis for the occurrence of relapses in individuals with relapsing-remitting multiple sclerosis (RRMS), the most common subtype of multiple sclerosis (MS), could support individualized decisions and disease management and could be ...
Subramaniam, Suvitha, Zecca, Chiara, Chalkou, Konstantina, Egger, Matthias, Salanti, Georgia, Kuhle, Jens, Steyerberg, Ewout, Benkert, Pascal, Disanto, Giulio, Bossuyt, Patrick, Kappos, Ludwig   +10 more
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Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines [PDF]

, 2009
Background: Multiple imputation (MI) provides an effective approach to handle missing covariate data within prognostic modelling studies, as it can properly account for the missing data uncertainty. The multiply imputed datasets are each analysed using
Holder, Roger, Douglas G Altman, Altman Douglas G, Holder, RL, Royston, Patrick, Royston, P, Marshall, A, Patrick Royston, Marshall Andrea, Holder, Roger L., Roger L Holder, Altman, DG, Altman, Douglas G., Royston Patrick, Andrea Marshall, Marshall, A. (Andrea), Holder Roger L, Altman, Doug   +17 more
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Systematic review of prognostic models in traumatic brain injury. [PDF]

, 2006
BACKGROUND: Traumatic brain injury (TBI) is a leading cause of death and disability world-wide. The ability to accurately predict patient outcome after TBI has an important role in clinical practice and research.
Reinhard Wentz, Ian Roberts, Wentz, Reinhard, Edwards, Phil, Edwards Phil, Roberts Ian, Perel Pablo, Pablo Perel, Wentz Reinhard, Roberts, Ian, Phil Edwards, Perel, Pablo   +11 more
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Use of classical and novel biomarkers as prognostic risk factors for localised prostate cancer : a systematic review [PDF]

, 2009
Objectives: To provide an evidence-based perspective on the prognostic value of novel markers in localised prostate cancer and to identify the best prognostic model including the three classical markers and investigate whether models incorporating ...
P Sutcliffe, Clarke, N., Younger, P, Roome, C, Clarke, Noel W., A Wilkinson, Sutcliffe, P., Rogers, G, A Rees, Hummel, S., Sutcliffe, P. (Paul), Staffurth, John Nicholas, J Staffurth, Somerville, M, F Hamdy, Young, T., Hamdy, F., E Simpson, Wilkinson, A., Rees, A. (Angie), Hamdy, Freddie C., Zawada, A, S Hummel, Taylor, Rod S., T Young, Simpson, E. L. (Emma L.), Staffurth, J., Elston, J, N Clarke, Simpson, E., Garside, R, Wilkinson, A. (Anna), Rees, A., Young, T. (Tracey)   +33 more
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Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. [PDF]

, 2008
BACKGROUND: Traumatic brain injury (TBI) is a leading cause of death and disability. A reliable prediction of outcome on admission is of great clinical relevance.
Maas, Andrew I R, McHugh, Gillian S., Steyerberg, Ewout W, Lu Juan, Butcher, I. (Isabella), Ewout W Steyerberg, Butcher, Isabella, Perel, P. (Pablo), Murray, G.D. (Gordon), Marmatou, Anthony, Murray Gordon D, Steyerberg Ewout W, McHugh, Gillian, Habbema J. Dik F, Roberts, I. (Ian), Roberts, Ian, Maas, A.I.R. (Andrew), Maas, Andrew I. R., McHugh, G.S. (Gillian), Steyerberg, E.W. (Ewout), Marmarou, A. (Anthony), Lu, Juan, Habbema, J Dik F, Mushkudiani, N. (Nino), Marmarou Anthony, Lu, J. (Juan), Juan Lu, Mushkudiani, Nino, Gillian S McHugh, Maas, Andrew IR, Andrew I R Maas, Isabella Butcher, Roberts Ian, Steyerberg, Ewout W., J Dik F Habbema, McHugh, Gillian S, Nino Mushkudiani, Anthony Marmarou, Butcher Isabella, Gordon D Murray, Habbema, J. D. F., Perel Pablo, Perel, Pablo, Murray, Gordon D, McHugh Gillian S, Ian Roberts, Mushkudiani Nino, Murray, Gordon D., Habbema, J.D.F. (Dik), Maas Andrew I. R, Pablo Perel, Marmarou, Anthony   +51 more
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Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study [PDF]

, 2010
Background: There is no consensus on the most appropriate approach to handle missing covariate data within prognostic modelling studies. Therefore a simulation study was performed to assess the effects of different missing data techniques on the ...
Holder, Roger, Douglas G Altman, Holder, RL, Royston, Patrick, Royston, P, Marshall, A, Patrick Royston, Holder, Roger L., Altman, DG, Roger L Holder, Altman, Douglas G., Andrea Marshall, Marshall, A. (Andrea)   +12 more
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Screening of DNA Damage Repair Genes Involved in the Prognosis of Triple-Negative Breast Cancer Patients Based on Bioinformatics

Frontiers in Genetics, 2021
Background: Triple-negative breast cancer (TNBC) is a special subtype of breast cancer with poor prognosis. DNA damage response (DDR) is one of the hallmarks of this cancer.
Nan Wang, Yuanting Gu, Jiangrui Chi, Xinwei Liu, Youyi Xiong, Chaochao Zhong, Fang Wang, Xinxing Wang, Lin Li   +8 more
doaj   +1 more source

Patient-specific data fusion defines prognostic cancer subtypes [PDF]

, 2011
Different data types can offer complementary perspectives on the same biological phenomenon. In cancer studies, for example, data on copy number alterations indicate losses and amplifications of genomic regions in tumours, while transcriptomic data ...
Richard S. Savage, Yuan Yinyin, Yuan, Yinyin, Markowetz, Florian, Richard S Savage, Florian Markowetz, Savage Richard S., Savage, Richard S., Markowetz Florian, Yinyin Yuan   +9 more
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Identification of the Nerve-Cancer Cross-Talk-Related Prognostic Gene Model in Head and Neck Squamous Cell Carcinoma

Frontiers in Oncology, 2021
The incidence of head and neck squamous cell carcinoma (HNSC) is increasing year by year. The nerve is an important component of the tumor microenvironment, which has a wide range of cross-talk with tumor cells and immune cells, especially in highly ...
Jun Li, Yunhong Xu, Gang Peng, Kuikui Zhu, Zilong Wu, Liangliang Shi, Gang Wu   +6 more
doaj   +1 more source