Literature DB >> 22740453

Revised international prognostic scoring system for myelodysplastic syndromes.

Peter L Greenberg1, Heinz Tuechler, Julie Schanz, Guillermo Sanz, Guillermo Garcia-Manero, Francesc Solé, John M Bennett, David Bowen, Pierre Fenaux, Francois Dreyfus, Hagop Kantarjian, Andrea Kuendgen, Alessandro Levis, Luca Malcovati, Mario Cazzola, Jaroslav Cermak, Christa Fonatsch, Michelle M Le Beau, Marilyn L Slovak, Otto Krieger, Michael Luebbert, Jaroslaw Maciejewski, Silvia M M Magalhaes, Yasushi Miyazaki, Michael Pfeilstöcker, Mikkael Sekeres, Wolfgang R Sperr, Reinhard Stauder, Sudhir Tauro, Peter Valent, Teresa Vallespi, Arjan A van de Loosdrecht, Ulrich Germing, Detlef Haase.   

Abstract

The International Prognostic Scoring System (IPSS) is an important standard for assessing prognosis of primary untreated adult patients with myelodysplastic syndromes (MDS). To refine the IPSS, MDS patient databases from international institutions were coalesced to assemble a much larger combined database (Revised-IPSS [IPSS-R], n = 7012, IPSS, n = 816) for analysis. Multiple statistically weighted clinical features were used to generate a prognostic categorization model. Bone marrow cytogenetics, marrow blast percentage, and cytopenias remained the basis of the new system. Novel components of the current analysis included: 5 rather than 3 cytogenetic prognostic subgroups with specific and new classifications of a number of less common cytogenetic subsets, splitting the low marrow blast percentage value, and depth of cytopenias. This model defined 5 rather than the 4 major prognostic categories that are present in the IPSS. Patient age, performance status, serum ferritin, and lactate dehydrogenase were significant additive features for survival but not for acute myeloid leukemia transformation. This system comprehensively integrated the numerous known clinical features into a method analyzing MDS patient prognosis more precisely than the initial IPSS. As such, this IPSS-R should prove beneficial for predicting the clinical outcomes of untreated MDS patients and aiding design and analysis of clinical trials in this disease.

Entities:  

Mesh:

Year:  2012        PMID: 22740453      PMCID: PMC4425443          DOI: 10.1182/blood-2012-03-420489

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


  45 in total

Review 1.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

2.  A robust method for proportional hazards regression.

Authors:  C E Minder; T Bednarski
Journal:  Stat Med       Date:  1996-05-30       Impact factor: 2.373

3.  Diagnostic plots to reveal functional form for covariates in multiplicative intensity models.

Authors:  P M Grambsch; T M Therneau; T R Fleming
Journal:  Biometrics       Date:  1995-12       Impact factor: 2.571

4.  International scoring system for evaluating prognosis in myelodysplastic syndromes.

Authors:  P Greenberg; C Cox; M M LeBeau; P Fenaux; P Morel; G Sanz; M Sanz; T Vallespi; T Hamblin; D Oscier; K Ohyashiki; K Toyama; C Aul; G Mufti; J Bennett
Journal:  Blood       Date:  1997-03-15       Impact factor: 22.113

5.  Prognostic factors in myelodysplastic syndromes: critical analysis of the impact of age and gender and failure to identify a very-low-risk group using standard mortality ratio techniques.

Authors:  P Morel; C Declercq; M Hebbar; F Bauters; P Fenaux
Journal:  Br J Haematol       Date:  1996-07       Impact factor: 6.998

6.  Proposals for the classification of the myelodysplastic syndromes.

Authors:  J M Bennett; D Catovsky; M T Daniel; G Flandrin; D A Galton; H R Gralnick; C Sultan
Journal:  Br J Haematol       Date:  1982-06       Impact factor: 6.998

7.  Marrow fibrosis predicts early fatal marrow failure in patients with myelodysplastic syndromes.

Authors:  G Buesche; H Teoman; W Wilczak; A Ganser; H Hecker; L Wilkens; G Göhring; B Schlegelberger; O Bock; A Georgii; H Kreipe
Journal:  Leukemia       Date:  2007-11-22       Impact factor: 11.528

8.  Primary myelodysplastic syndromes: analysis of prognostic factors in 235 patients and proposals for an improved scoring system.

Authors:  C Aul; N Gattermann; A Heyll; U Germing; G Derigs; W Schneider
Journal:  Leukemia       Date:  1992-01       Impact factor: 11.528

9.  Two regression models and a scoring system for predicting survival and planning treatment in myelodysplastic syndromes: a multivariate analysis of prognostic factors in 370 patients.

Authors:  G F Sanz; M A Sanz; T Vallespí; M C Cañizo; M Torrabadella; S García; D Irriguible; J F San Miguel
Journal:  Blood       Date:  1989-07       Impact factor: 22.113

10.  Additional prognostic value of bone marrow histology in patients subclassified according to the International Prognostic Scoring System for myelodysplastic syndromes.

Authors:  E Verburgh; R Achten; B Maes; A Hagemeijer; M Boogaerts; C De Wolf-Peeters; G Verhoef
Journal:  J Clin Oncol       Date:  2003-01-15       Impact factor: 44.544

View more
  788 in total

Review 1.  Epigenetics in myelodysplastic syndromes.

Authors:  Michael Heuser; Haiyang Yun; Felicitas Thol
Journal:  Semin Cancer Biol       Date:  2017-08-02       Impact factor: 15.707

2.  Randomized phase 2 study of low-dose decitabine vs low-dose azacitidine in lower-risk MDS and MDS/MPN.

Authors:  Elias Jabbour; Nicholas J Short; Guillermo Montalban-Bravo; Xuelin Huang; Carlos Bueso-Ramos; Wei Qiao; Hui Yang; Chong Zhao; Tapan Kadia; Gautam Borthakur; Naveen Pemmaraju; Koji Sasaki; Zeev Estrov; Jorge Cortes; Farhad Ravandi; Yesid Alvarado; Rami Komrokji; Mikkael A Sekeres; David P Steensma; Amy DeZern; Gail Roboz; Hagop Kantarjian; Guillermo Garcia-Manero
Journal:  Blood       Date:  2017-08-03       Impact factor: 22.113

3.  TP53 mutations in myelodysplastic syndromes and secondary AML confer an immunosuppressive phenotype.

Authors:  David A Sallman; Amy F McLemore; Amy L Aldrich; Rami S Komrokji; Kathy L McGraw; Abhishek Dhawan; Susan Geyer; Hsin-An Hou; Erika A Eksioglu; Amy Sullivan; Sarah Warren; Kyle J MacBeth; Manja Meggendorfer; Torsten Haferlach; Steffen Boettcher; Benjamin L Ebert; Najla H Al Ali; Jeffrey E Lancet; John L Cleveland; Eric Padron; Alan F List
Journal:  Blood       Date:  2020-12-10       Impact factor: 22.113

4.  The use of immunosuppressive therapy in MDS: clinical outcomes and their predictors in a large international patient cohort.

Authors:  Maximilian Stahl; Michelle DeVeaux; Theo de Witte; Judith Neukirchen; Mikkael A Sekeres; Andrew M Brunner; Gail J Roboz; David P Steensma; Vijaya R Bhatt; Uwe Platzbecker; Thomas Cluzeau; Pedro H Prata; Raphaël Itzykson; Pierre Fenaux; Amir T Fathi; Alexandra Smith; Ulrich Germing; Ellen K Ritchie; Vivek Verma; Aziz Nazha; Jaroslaw P Maciejewski; Nikolai A Podoltsev; Thomas Prebet; Valeria Santini; Steven D Gore; Rami S Komrokji; Amer M Zeidan
Journal:  Blood Adv       Date:  2018-07-24

5.  Hematopoietic stem cell and progenitor cell mechanisms in myelodysplastic syndromes.

Authors:  Wendy W Pang; John V Pluvinage; Elizabeth A Price; Kunju Sridhar; Daniel A Arber; Peter L Greenberg; Stanley L Schrier; Christopher Y Park; Irving L Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-06       Impact factor: 11.205

Review 6.  New strategies in myelodysplastic syndromes: application of molecular diagnostics to clinical practice.

Authors:  Zuzana Tothova; David P Steensma; Benjamin L Ebert
Journal:  Clin Cancer Res       Date:  2013-01-17       Impact factor: 12.531

7.  Optimizing outcomes with azacitidine: recommendations from Canadian centres of excellence.

Authors:  R A Wells; B Leber; N Y Zhu; J M Storring
Journal:  Curr Oncol       Date:  2014-02       Impact factor: 3.677

8.  Predicting outcome of patients with myelodysplastic syndromes after failure of azacitidine: validation of the North American MDS consortium scoring system.

Authors:  Thomas Prebet; Pierre Fenaux; Norbert Vey
Journal:  Haematologica       Date:  2016-10       Impact factor: 9.941

9.  Addition of lenalidomide to intensive treatment in younger and middle-aged adults with newly diagnosed AML: the HOVON-SAKK-132 trial.

Authors:  Bob Löwenberg; Thomas Pabst; Johan Maertens; Patrycja Gradowska; Bart J Biemond; Olivier Spertini; Edo Vellenga; Laimonas Griskevicius; Lidwine W Tick; Mojca Jongen-Lavrencic; Marinus van Marwijk Kooy; Marie-Christiane Vekemans; Walter J F M van der Velden; Berna Beverloo; Lucienne Michaux; Carlos Graux; Dries Deeren; Okke de Weerdt; Joost W J van Esser; Mario Bargetzi; Saskia K Klein; Alain Gadisseur; Peter E Westerweel; Hendrik Veelken; Michael Gregor; Tobias Silzle; Daniëlle van Lammeren-Venema; Ine Moors; Dimitri A Breems; Mels Hoogendoorn; Marie-Cecile J C Legdeur; Thomas Fischer; Juergen Kuball; Jan Cornelissen; Kimmo Porkka; Gunnar Juliusson; Peter Meyer; Martin Höglund; Bjorn T Gjertsen; Jeroen J W M Janssen; Gerwin Huls; Jakob Passweg; Jacqueline Cloos; Peter J M Valk; Catharina H M J van Elssen; Markus G Manz; Yngvar Floisand; Gert J Ossenkoppele
Journal:  Blood Adv       Date:  2021-02-23

10.  Should elderly patients with higher-risk myelodysplastic syndromes undergo allogeneic hematopoietic stem cell transplantation?

Authors:  Amer M Zeidan; Steven D Gore
Journal:  Expert Rev Hematol       Date:  2013-10-04       Impact factor: 2.929

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.