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Volumn 10, Issue 12, 2010, Pages 2723-2724

Rituximab may not lead to increased infection rates in transplant recipients

Author keywords

[No Author keywords available]

Indexed keywords

RITUXIMAB; THYMOCYTE ANTIBODY;

EID: 78649866498     PISSN: 16006135     EISSN: 16006143     Source Type: Journal    
DOI: 10.1111/j.1600-6143.2010.03195.x     Document Type: Letter
Times cited : (3)

References (5)
  • 1
    • 72549092641 scopus 로고    scopus 로고
    • Incidence and predictive factors for infectious disease after rituximab therapy in kidney transplant patients
    • Kamar N, Milioto O, Puissant-Lubrano B,. Incidence and predictive factors for infectious disease after rituximab therapy in kidney transplant patients. Am J Transplant 2010; 10: 89-98.
    • (2010) Am J Transplant , vol.10 , pp. 89-98
    • Kamar, N.1    Milioto, O.2    Puissant-Lubrano, B.3
  • 3
    • 49149130676 scopus 로고    scopus 로고
    • ABO-incompatible kidney transplantation using antigen specific immunoabsorption and rituximab: A 3 year follow-up
    • Genberg H, Kumlien G, Wennberg L, Berg U, Tyden G,. ABO-incompatible kidney transplantation using antigen specific immunoabsorption and rituximab: A 3 year follow-up. Transplantation 2008; 85: 1745-1754.
    • (2008) Transplantation , vol.85 , pp. 1745-1754
    • Genberg, H.1    Kumlien, G.2    Wennberg, L.3    Berg, U.4    Tyden, G.5
  • 4
    • 67649607453 scopus 로고    scopus 로고
    • A randomized, double-blind, placebo-controlled, study of single dose rituximab as induction in renal transplantation
    • Tyden G, Genberg H, Tollemar J, et al,. A randomized, double-blind, placebo-controlled, study of single dose rituximab as induction in renal transplantation. Transplantation 2009; 87: 1325-1329.
    • (2009) Transplantation , vol.87 , pp. 1325-1329
    • Tyden, G.1    Genberg, H.2    Tollemar, J.3
  • 5
    • 0021857146 scopus 로고
    • Regression models for prognostic prediction: Advantages, problems, and suggested solutions
    • Harrell FE Jr, Lee KL, Matchar DB, Reichert TA,. Regression models for prognostic prediction: Advantages, problems, and suggested solutions. Cancer Treat Rep 1985; 69: 1071-1077.
    • (1985) Cancer Treat Rep , vol.69 , pp. 1071-1077
    • Harrell, Jr.F.E.1    Lee, K.L.2    Matchar, D.B.3    Reichert, T.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.