The EUTOS long-term survival (ELTS) score is superior to the Sokal score for predicting survival in chronic myeloid leukemia

  1. Pfirrmann, Markus ORCID logo
  2. Clark, Richard E.
  3. Prejzner, Witold
  4. Lauseker, Michael
  5. Baccarani, Michele
  6. Saussele, Susanne
  7. Guilhot, François
  8. Heibl, Sonja
  9. Hehlmann, Rüdiger
  10. Faber, Edgar
  11. Turkina, Anna ORCID logo
  12. Ossenkoppele, Gert
  13. Höglund, Martin
  14. Zaritskey, Andrey
  15. Griskevicius, Laimonas
  16. Olsson-Strömberg, Ulla
  17. Everaus, Hele
  18. Koskenvesa, Perttu
  19. Labar, Boris
  20. Sacha, Tomasz ORCID logo
  21. Zackova, Daniela
  22. Cervantes, Francisco
  23. Colita, Adriana
  24. Zupan, Irena
  25. Bogdanovic, Andrija
  26. Castagnetti, Fausto
  27. Guilhot, Joëlle
  28. Hasford, Joerg
  29. Hochhaus, Andreas
  30. Hoffmann, Verena S.

Download
s41375-020-0931-9.pdf 946,86KB
WeightNameValue
1000 Titel
  • The EUTOS long-term survival (ELTS) score is superior to the Sokal score for predicting survival in chronic myeloid leukemia
1000 Autor/in
  1. Pfirrmann, Markus |
  2. Clark, Richard E. |
  3. Prejzner, Witold |
  4. Lauseker, Michael |
  5. Baccarani, Michele |
  6. Saussele, Susanne |
  7. Guilhot, François |
  8. Heibl, Sonja |
  9. Hehlmann, Rüdiger |
  10. Faber, Edgar |
  11. Turkina, Anna |
  12. Ossenkoppele, Gert |
  13. Höglund, Martin |
  14. Zaritskey, Andrey |
  15. Griskevicius, Laimonas |
  16. Olsson-Strömberg, Ulla |
  17. Everaus, Hele |
  18. Koskenvesa, Perttu |
  19. Labar, Boris |
  20. Sacha, Tomasz |
  21. Zackova, Daniela |
  22. Cervantes, Francisco |
  23. Colita, Adriana |
  24. Zupan, Irena |
  25. Bogdanovic, Andrija |
  26. Castagnetti, Fausto |
  27. Guilhot, Joëlle |
  28. Hasford, Joerg |
  29. Hochhaus, Andreas |
  30. Hoffmann, Verena S. |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-06-29
1000 Erschienen in
1000 Quellenangabe
  • 34(8):2138-2149
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41375-020-0931-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387299/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Prognostic scores support clinicians in selecting risk-adjusted treatments and in comparatively assessing different results. For patients with chronic-phase chronic myeloid leukemia (CML), four baseline prognostic scores are commonly used. Our aim was to compare the prognostic performance of the scores and to arrive at an evidence-based score recommendation. In 2949 patients not involved in any score development, higher hazard ratios and concordance indices in any comparison demonstrated the best discrimination of long-term survival with the ELTS score. In a second step, of 5154 patients analyzed to investigate risk group classification differences, 23% (n = 1197) were allocated to high-risk by the Sokal score. Of the 1197 Sokal high-risk patients, 56% were non-high-risk according to the ELTS score and had a significantly more favorable long-term survival prognosis than the 526 high-risk patients according to both scores. The Sokal score identified too many patients as high-risk and relatively few (40%) as low-risk (versus 60% with the ELTS score). Inappropriate risk classification jeopardizes optimal treatment selection. The ELTS score outperformed the Sokal score, the Euro, and the EUTOS score regarding risk group discrimination. The recent recommendation of the European LeukemiaNet for preferred use of the ELTS score was supported with significant statistical evidence.
1000 Sacherschließung
lokal Adolescent [MeSH]
lokal Female [MeSH]
lokal Aged, 80 and over [MeSH]
lokal Aged [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Middle Aged [MeSH]
lokal Protein Kinase Inhibitors/therapeutic use [MeSH]
lokal Risk factors
lokal Epidemiology
lokal Article
lokal Male [MeSH]
lokal Leukemia, Myelogenous, Chronic, BCR-ABL Positive/mortality [MeSH]
lokal Prognosis [MeSH]
lokal Young Adult [MeSH]
lokal Probability [MeSH]
lokal Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy [MeSH]
lokal Registries [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-8948-0690|https://frl.publisso.de/adhoc/uri/Q2xhcmssIFJpY2hhcmQgRS4=|https://frl.publisso.de/adhoc/uri/UHJlanpuZXIsIFdpdG9sZA==|https://frl.publisso.de/adhoc/uri/TGF1c2VrZXIsIE1pY2hhZWw=|https://frl.publisso.de/adhoc/uri/QmFjY2FyYW5pLCBNaWNoZWxl|https://frl.publisso.de/adhoc/uri/U2F1c3NlbGUsIFN1c2FubmU=|https://frl.publisso.de/adhoc/uri/R3VpbGhvdCwgRnJhbsOnb2lz|https://frl.publisso.de/adhoc/uri/SGVpYmwsIFNvbmph|https://frl.publisso.de/adhoc/uri/SGVobG1hbm4sIFLDvGRpZ2Vy|https://frl.publisso.de/adhoc/uri/RmFiZXIsIEVkZ2Fy|https://orcid.org/0000-0001-9947-2371|https://frl.publisso.de/adhoc/uri/T3NzZW5rb3BwZWxlLCBHZXJ0|https://frl.publisso.de/adhoc/uri/SMO2Z2x1bmQsIE1hcnRpbg==|https://frl.publisso.de/adhoc/uri/WmFyaXRza2V5LCBBbmRyZXk=|https://frl.publisso.de/adhoc/uri/R3Jpc2tldmljaXVzLCBMYWltb25hcw==|https://frl.publisso.de/adhoc/uri/T2xzc29uLVN0csO2bWJlcmcsIFVsbGE=|https://frl.publisso.de/adhoc/uri/RXZlcmF1cywgSGVsZQ==|https://frl.publisso.de/adhoc/uri/S29za2VudmVzYSwgUGVydHR1|https://frl.publisso.de/adhoc/uri/TGFiYXIsIEJvcmlz|https://orcid.org/0000-0002-7207-6595|https://frl.publisso.de/adhoc/uri/WmFja292YSwgRGFuaWVsYQ==|https://frl.publisso.de/adhoc/uri/Q2VydmFudGVzLCBGcmFuY2lzY28=|https://frl.publisso.de/adhoc/uri/Q29saXRhLCBBZHJpYW5h|https://frl.publisso.de/adhoc/uri/WnVwYW4sIElyZW5h|https://frl.publisso.de/adhoc/uri/Qm9nZGFub3ZpYywgQW5kcmlqYQ==|https://frl.publisso.de/adhoc/uri/Q2FzdGFnbmV0dGksIEZhdXN0bw==|https://frl.publisso.de/adhoc/uri/R3VpbGhvdCwgSm-Dq2xsZQ==|https://frl.publisso.de/adhoc/uri/SGFzZm9yZCwgSm9lcmc=|https://frl.publisso.de/adhoc/uri/SG9jaGhhdXMsIEFuZHJlYXM=|https://frl.publisso.de/adhoc/uri/SG9mZm1hbm4sIFZlcmVuYSBTLg==
1000 Hinweis
  • DeepGreen-ID: 1958102baed24ac08fd9ce4787057f8e ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6471062.rdf
1000 Erstellt am 2023-11-18T10:39:38.938+0100
1000 Erstellt von 322
1000 beschreibt frl:6471062
1000 Zuletzt bearbeitet Fri Dec 01 13:36:17 CET 2023
1000 Objekt bearb. Fri Dec 01 13:36:17 CET 2023
1000 Vgl. frl:6471062
1000 Oai Id
  1. oai:frl.publisso.de:frl:6471062 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source