Literature DB >> 2790201

Prognostic variables and clinical staging in multiple myeloma.

M Cavo1, P Galieni, E Zuffa, M Baccarani, M Gobbi, S Tura.   

Abstract

To evaluate the most important factors in the prognosis and staging of multiple myeloma (MM), the presenting clinical features of 163 previously untreated patients with MM were correlated with survival duration using univariate and multivariate regression analyses. The univariate proportional hazard analysis ranked the parameters in the following order of importance: platelet count, hemoglobin level (Hb), tumor cell mass stage, lytic bone lesions, creatinine, and age. When the individual contribution of each variable was assessed by multivariate regression analysis, platelet count was confirmed to be the dominant feature for prognosis and clinical stage provided additional information. The introduction of platelet count could then be used to improve the reliability of the Durie and Salmon staging, by allowing to separate the high-risk group (stages II and III) into a smaller subgroup (22%) of thrombocytopenic patients (less than 150 x 10(9) platelets/L) whose risk of death was actually very high (median survival, 9 months) and a larger subgroup (46%) of patients with normal platelet count and intermediate or standard risk (median survival, 48 months). This simple change in the prognostic system gave rise to markedly different survival curves also after the exclusion of patients with renal failure and applied successfully to both old and young patients (greater than and less than 50 years, respectively). Finally, platelet count, Hb, and lytic bone lesions could be combined simply to stratify patients with normal renal function into three risk groups: (1) low (39% of cases; median survival, 79 months), (2) intermediate (53% of cases; median survival, 48 months), and (3) high (8% of cases; median survival, 19 months).

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Year:  1989        PMID: 2790201

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  8 in total

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2.  Phase II trial of temsirolimus in patients with relapsed or refractory multiple myeloma.

Authors:  Sherif S Farag; Shuhong Zhang; Buffy S Jansak; Xiaojing Wang; Eric Kraut; Kenneth Chan; Janet E Dancey; Michael R Grever
Journal:  Leuk Res       Date:  2009-03-03       Impact factor: 3.156

3.  Serum transforming growth factor-beta 1 is related to the degree of immunoparesis in patients with multiple myeloma.

Authors:  M C Kyrtsonis; C Repa; G V Dedoussis; A Mouzaki; A Simeonidis; M Stamatelou; A Maniatis
Journal:  Med Oncol       Date:  1998-07       Impact factor: 3.064

4.  Myeloma in patients younger than age 50 years presents with more favorable features and shows better survival: an analysis of 10 549 patients from the International Myeloma Working Group.

Authors:  Heinz Ludwig; Brian G M Durie; Vanessa Bolejack; Ingemar Turesson; Robert A Kyle; Joan Blade; Rafael Fonseca; Meletios Dimopoulos; Kazuyuki Shimizu; Jesus San Miguel; Jan Westin; Jean-Luc Harousseau; Meral Beksac; Mario Boccadoro; Antonio Palumbo; Bart Barlogie; Chaim Shustik; Michele Cavo; Philip R Greipp; Douglas Joshua; Michel Attal; Pieter Sonneveld; John Crowley
Journal:  Blood       Date:  2008-02-11       Impact factor: 22.113

5.  Relevance of age on survival of 341 patients with multiple myeloma treated with conventional chemotherapy: updated results of the MM87 prospective randomized protocol. Cooperative Group of Study and Treatment of Multiple Myeloma.

Authors:  A Riccardi; O Mora; S Brugnatelli; C Tinelli; R Spanedda; A De Paoli; L Barbarano; M Di Stasi; C Bergonzi; M Giordano; C Delfini; G Nicoletti; E Rinaldi; L Piccinini; D Valentini; E Ascari
Journal:  Br J Cancer       Date:  1998       Impact factor: 7.640

6.  A systematic classification of death causes in multiple myeloma.

Authors:  Elias K Mai; Eva-Maria Haas; Stephan Lücke; Martin Löpprich; Christina Kunz; Maria Pritsch; Petra Knaup-Gregori; Marc S Raab; Jana Schlenzka; Uta Bertsch; Jens Hillengass; Hartmut Goldschmidt
Journal:  Blood Cancer J       Date:  2018-03-08       Impact factor: 11.037

7.  Ratio of involved/uninvolved immunoglobulin quantification by Hevylite™ assay: clinical and prognostic impact in multiple myeloma.

Authors:  Efstathios Koulieris; Panayiotis Panayiotidis; Stephen J Harding; Nikolitsa Kafasi; Dimitris Maltezas; Vassiliki Bartzis; Tatiana Tzenou; Maria Dimou; George Georgiou; Ladan Mirbahai; Arthur R Bradwell; Marie-Christine Kyrtsonis
Journal:  Exp Hematol Oncol       Date:  2012-04-23

8.  Endothelial activation and stress index (EASIX) is a reliable predictor for overall survival in patients with multiple myeloma.

Authors:  Ga-Young Song; Sung-Hoon Jung; Kihyun Kim; Seok Jin Kim; Sang Eun Yoon; Ho Sup Lee; Mihee Kim; Seo-Yeon Ahn; Jae-Sook Ahn; Deok-Hwan Yang; Hyeoung-Joon Kim; Je-Jung Lee
Journal:  BMC Cancer       Date:  2020-08-24       Impact factor: 4.430

  8 in total

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