Evidence map›Paper›PMID 32601376›Full record

ArticleLeukemia2020

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

Markus Pfirrmann, Richard E Clark, Witold Prejzner, Michael Lauseker, Michele Baccarani, Susanne Saussele, François Guilhot, Sonja Heibl, Rüdiger Hehlmann, Edgar Faber and 20 more

Abstract read
In one paragraph

Article in Leukemia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Markus PfirrmannInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Ludwig-Maximilians Universität, Munich, Germany. pfi@ibe.med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-8948-0690
Richard E ClarkDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK.
Witold PrejznerMedical University of Gdansk, Gdansk, Poland.
Michael LausekerInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Ludwig-Maximilians Universität, Munich, Germany.
Michele BaccaraniClinical Department of Hematology and Oncology L. and A. Seragnoli, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
Susanne SausseleIII. Medizinische Klinik, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim, Germany.
François GuilhotClinical Investigation Centre, INSERM CIC 1402, CHU Poitiers, Poitiers, France.
Sonja HeiblAbteilung für Innere Medizin IV, Klinikum Wels-Grieskirchen, Wels, Austria.
Rüdiger HehlmannIII. Medizinische Klinik, Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim, Germany.
Edgar FaberDepartment of Hemato-Oncology, Faculty Hospital Olomouc, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic.
Anna TurkinaNational Research Center for Hematology, Ministry of Healthcare of the Russian Federation, Moscow, Russian Federation.ORCID http://orcid.org/0000-0001-9947-2371
Gert OssenkoppeleDepartment of Hematology, VU University Medical Center, Amsterdam, Netherlands.
Martin HöglundInstitution of Medical Sciences, University of Uppsala, Uppsala, Sweden.
Andrey ZaritskeyAlmazov Medical Reseach Centre, Institute of Oncology and Hematology, St Petersburg, Russian Federation.
Laimonas GriskeviciusInstitute of Clinical Medicine, Vilnius University, Vilnius, Lithuania.
Ulla Olsson-StrömbergDepartment of Medical Sciences, University of Uppsala and Section of Hematology, Uppsala University Hospital, Uppsala, Sweden.
Hele EverausTartu University Hospital, Tartu, Estonia.
Perttu KoskenvesaHematology Research Unit Helsinki, University of Helsinki and Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.
Boris LabarSchool of Medicine, University of Zagreb, Zagreb, Croatia.
Tomasz SachaDepartment of Hematology, Jagiellonian Unversity Medical College, Kraków, Poland.ORCID http://orcid.org/0000-0002-7207-6595
Daniela ZackovaDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic.
Francisco CervantesHematology Department, Hospital Clinic, IDIBAPS, Barcelona, Spain.
Adriana ColitaRomanian Academy of Medical Sciences and Medical University, Bucharest, Romania.
Irena ZupanDepartment of Hematology, University Medical Centre, Ljubljana, Slovenia.
Andrija BogdanovicClinic of Hematology, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Fausto CastagnettiClinical Department of Hematology and Oncology L. and A. Seragnoli, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
Joëlle GuilhotClinical Investigation Centre, INSERM CIC 1402, CHU Poitiers, Poitiers, France.
Joerg HasfordInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Ludwig-Maximilians Universität, Munich, Germany.
Andreas HochhausKlinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany.
Verena S HoffmannInstitut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - IBE, Ludwig-Maximilians Universität, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedProbabilityPrognosisProtein Kinase InhibitorsRegistriesYoung AdultProtein Kinase Inhibitors

Identifiers

PMID32601376
PMCPMC7387299

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.