Connection
Maurizio Zangari to Aged, 80 and over
This is a "connection" page, showing publications Maurizio Zangari has written about Aged, 80 and over.
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Connection Strength |
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0.587 |
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Zangari M, Fink L, Tolomelli G, Lee JC, Stein BL, Hickman K, Swierczek S, Kelley TW, Berno T, Moliterno AR, Spivak JL, Gordeuk VR, Prchal JT. Could hypoxia increase the prevalence of thrombotic complications in polycythemia vera? Blood Coagul Fibrinolysis. 2013 Apr; 24(3):311-6.
Score: 0.065
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Chen T, Berno T, Zangari M. Low-risk identification in multiple myeloma using a new 14-gene model. Eur J Haematol. 2012 Jul; 89(1):28-36.
Score: 0.062
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Zangari M, Berno T, Zhan F, Boucher KM, Tricot G, Fink L. Activated protein C resistance as measured by residual factor V after Russell's viper venom and activated protein C treatment analyzed as a continuous variable in multiple myeloma and normal controls. Blood Coagul Fibrinolysis. 2011 Jul; 22(5):420-3.
Score: 0.057
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Zangari M, Tricot G, Polavaram L, Zhan F, Finlayson A, Knight R, Fu T, Weber D, Dimopoulos MA, Niesvizky R, Fink L. Survival effect of venous thromboembolism in patients with multiple myeloma treated with lenalidomide and high-dose dexamethasone. J Clin Oncol. 2010 Jan 01; 28(1):132-5.
Score: 0.051
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Talamo G, Liao J, Bayerl MG, Claxton DF, Zangari M. Oral administration of analgesia and anxiolysis for pain associated with bone marrow biopsy. Support Care Cancer. 2010 Mar; 18(3):301-5.
Score: 0.050
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Elice F, Fink L, Tricot G, Barlogie B, Zangari M. Acquired resistance to activated protein C (aAPCR) in multiple myeloma is a transitory abnormality associated with an increased risk of venous thromboembolism. Br J Haematol. 2006 Aug; 134(4):399-405.
Score: 0.041
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Zangari M, Siegel E, Barlogie B, Anaissie E, Saghafifar F, Fassas A, Morris C, Fink L, Tricot G. Thrombogenic activity of doxorubicin in myeloma patients receiving thalidomide: implications for therapy. Blood. 2002 Aug 15; 100(4):1168-71.
Score: 0.031
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Boyle EM, Deshpande S, Tytarenko R, Ashby C, Wang Y, Bauer MA, Johnson SK, Wardell CP, Thanendrarajan S, Zangari M, Facon T, Dumontet C, Barlogie B, Arbini A, Rustad EH, Maura F, Landgren O, Zhan F, van Rhee F, Schinke C, Davies FE, Morgan GJ, Walker BA. The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma. Nat Commun. 2021 01 12; 12(1):293.
Score: 0.028
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Schinke C, Boyle EM, Ashby C, Wang Y, Lyzogubov V, Wardell C, Qu P, Hoering A, Deshpande S, Ryan K, Thanendrarajan S, Mohan M, Yarlagadda N, Khan M, Choudhury SR, Zangari M, van Rhee F, Davies F, Barlogie B, Morgan G, Walker BA. Genomic analysis of primary plasma cell leukemia reveals complex structural alterations and high-risk mutational patterns. Blood Cancer J. 2020 06 19; 10(6):70.
Score: 0.027
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Radhakrishnan SV, Boyer M, Sherwin CM, Zangari M, Tricot G. A Phase 1 Study of Intravenous Busulfan as a Conditioning Regimen for Multiple Myeloma. Cell Transplant. 2019 Dec; 28(12):1624-1631.
Score: 0.026
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Mohan M, Susanibar-Adaniya S, Buros A, Crescencio JCR, Burgess MJ, Lusardi K, Davies F, Morgan G, Vanrhee F, Zangari M, Schinke C, Thanendrarajan S, Kothari A. Bacteremias following autologous stem cell transplantation for multiple myeloma: Risk factors and outcomes. Transpl Infect Dis. 2019 Apr; 21(2):e13052.
Score: 0.024
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Davies FE, Rosenthal A, Rasche L, Petty NM, McDonald JE, Ntambi JA, Steward DM, Panozzo SB, van Rhee F, Zangari M, Schinke CD, Thanendrarajan S, Walker B, Weinhold N, Barlogie B, Hoering A, Morgan GJ. Treatment to suppression of focal lesions on positron emission tomography-computed tomography is a therapeutic goal in newly diagnosed multiple myeloma. Haematologica. 2018 06; 103(6):1047-1053.
Score: 0.023
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Mohan M, Buros A, Mathur P, Gokden N, Singh M, Susanibar S, Jo Kamimoto J, Hoque S, Radhakrishnan M, Matin A, Davis C, Grazziutti M, Thanendrarajan S, van Rhee F, Zangari M, Davies F, Morgan G, Epstein J, Barlogie B, Schinke C. Clinical characteristics and prognostic factors in multiple myeloma patients with light chain deposition disease. Am J Hematol. 2017 Aug; 92(8):739-745.
Score: 0.022
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Thanendrarajan S, Tian E, Qu P, Mathur P, Schinke C, van Rhee F, Zangari M, Rasche L, Weinhold N, Alapat D, Bellamy W, Ashby C, Mattox S, Epstein J, Yaccoby S, Barlogie B, Hoering A, Bauer M, Walker BA, Davies FE, Morgan GJ. The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma. Haematologica. 2017 09; 102(9):e364-e367.
Score: 0.022
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Khan R, Dhodapkar M, Rosenthal A, Heuck C, Papanikolaou X, Qu P, van Rhee F, Zangari M, Jethava Y, Epstein J, Yaccoby S, Hoering A, Crowley J, Petty N, Bailey C, Morgan G, Barlogie B. Four genes predict high risk of progression from smoldering to symptomatic multiple myeloma (SWOG S0120). Haematologica. 2015 Sep; 100(9):1214-21.
Score: 0.019
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Talamo G, Farooq U, Zangari M, Liao J, Dolloff NG, Loughran TP, Epner E. Beyond the CRAB symptoms: a study of presenting clinical manifestations of multiple myeloma. Clin Lymphoma Myeloma Leuk. 2010 Dec; 10(6):464-8.
Score: 0.014
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van Rhee F, Bolejack V, Hollmig K, Pineda-Roman M, Anaissie E, Epstein J, Shaughnessy JD, Zangari M, Tricot G, Mohiuddin A, Alsayed Y, Woods G, Crowley J, Barlogie B. High serum-free light chain levels and their rapid reduction in response to therapy define an aggressive multiple myeloma subtype with poor prognosis. Blood. 2007 Aug 01; 110(3):827-32.
Score: 0.011
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Lee CK, Barlogie B, Munshi N, Zangari M, Fassas A, Jacobson J, van Rhee F, Cottler-Fox M, Muwalla F, Tricot G. DTPACE: an effective, novel combination chemotherapy with thalidomide for previously treated patients with myeloma. J Clin Oncol. 2003 Jul 15; 21(14):2732-9.
Score: 0.008
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Giles FJ, Cooper MA, Silverman L, Karp JE, Lancet JE, Zangari M, Shami PJ, Khan KD, Hannah AL, Cherrington JM, Thomas DA, Garcia-Manero G, Albitar M, Kantarjian HM, Stopeck AT. Phase II study of SU5416--a small-molecule, vascular endothelial growth factor tyrosine-kinase receptor inhibitor--in patients with refractory myeloproliferative diseases. Cancer. 2003 Apr 15; 97(8):1920-8.
Score: 0.008
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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