Evidence map›Paper›PMID 33037866›Full record

ArticleCancer medicine2020

The EUTOS long-term survival score predicts disease-specific mortality and molecular responses among patients with chronic myeloid leukemia in a practice-based cohort.

Eriko Sato, Noriyoshi Iriyama, Michihide Tokuhira, Tomoiku Takaku, Maho Ishikawa, Tomonori Nakazato, Kei-Ji Sugimoto, Hiroyuki Fujita, Yuta Kimura, Isao Fujioka and 5 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 11% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

15 authors at 9 institutions in 1 country.

Eriko SatoDepartment of Hematology, Juntendo University Nerima Hospital, Tokyo, Japan.ORCID 0000-0003-4159-2834
Noriyoshi IriyamaDivision of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID 0000-0001-9176-1988
Michihide TokuhiraDepartment of Hematology, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Tomoiku TakakuDepartment of Hematology, Juntendo University School of Medicine, Tokyo, Japan.ORCID 0000-0002-6493-6225
Maho IshikawaDepartment of Hemato-Oncology, Saitama Medical University International Medical Center, Saitama, Japan.ORCID 0000-0003-0965-9007
Tomonori NakazatoDepartment of Hematology, Yokohama Municipal Citizen's Hospital, Yokohama, Japan.
Kei-Ji SugimotoDepartment of Hematology, Juntendo University Urayasu Hospital, Urayasu, Japan.
Hiroyuki FujitaDepartment of Hematology, Saiseikai Yokohama Nanbu Hospital, Yokohama, Japan.
Yuta KimuraDepartment of Hematology, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Isao FujiokaDepartment of Hematology, Juntendo University School of Medicine, Tokyo, Japan.
Norio AsouDepartment of Hemato-Oncology, Saitama Medical University International Medical Center, Saitama, Japan.
Norio KomatsuDepartment of Hematology, Juntendo University School of Medicine, Tokyo, Japan.ORCID 0000-0003-1880-9126
Masahiro KizakiDepartment of Hematology, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Yoshihiro HattaDivision of Hematology and Rheumatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID 0000-0002-0457-4015
Tatsuya KawaguchiDepartment of Hematology and Infectious Diseases, Kumamoto University Hospital, Kumamoto, Japan.
Juntendo University · JPSocial Insurance Saitama Chuo Hospital · JPNihon University · JPSaitama International Medical Center · JPJuntendo University Nerima Hospital · JPJuntendo University Urayasu Hospital · JPKumamoto Health Science University · JPSaiseikai Ibaraki Hospital · JPYokohama Municipal Citizen's Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The European Treatment and Outcome Study (EUTOS) long-term survival (ELTS) score predicts disease-specific death in patients with chronic myeloid leukemia (CML) being treated with imatinib during the chronic phase (CP) of the disease. However, it is unclear whether the ELTS score predicts CML-related events or treatment responses. This study evaluated the predictive value of the ELTS score regarding prognosis and treatment response in patients with CML-CP. Clinical data were retrospectively obtained from patients enrolled in the CML Cooperative Study Group (CML-CSG), which included patients diagnosed with CML-CP from April 2001 to January 2016, and treated with any tyrosine kinase inhibitor (TKI) as first-line therapy. Among 342 eligible patients, the ELTS scores indicated low-, intermediate-, and high-risk in 74%, 21%, and 5% of patients, respectively. Patients with high ELTS scores had significantly higher disease-specific mortality and worse event-free survival, progression-free survival, and overall survival. Among four risk scores, including the Sokal, Hasford, EUTOS, and ELTS scores, risk stratification by the ELTS score had the highest predictive value in assessing patient prognosis, and also in treatment responses. In fact, the EUTOS and ELTS scores were able to predict the major molecular response within 12 months. Most importantly, the ELTS score was the only scoring system that predicted deep molecular response at any time, regardless of risk level (65.0%, 43.7%, and 23.5% in low-, intermediate-, and high-risk groups, respectively). Compared to other risk scores, the ELTS score was the most sensitive risk classification tool for the four endpoints of interest in this study, as well as molecular responses in patients with CML-CP.

Indexed as

Decision Support TechniquesAdolescentAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorDisease ProgressionFemaleFusion Proteins, bcr-ablHumansImatinib MesylateJapanLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedAntineoplastic AgentsBCR-ABL1 fusion protein, humanBiomarkers, TumorFusion Proteins, bcr-ablImatinib MesylateProtein Kinase Inhibitorschronic myeloid leukemiaELTS scoreEUTOSprognosistyrosine kinase inhibitor

Identifiers

PMID33037866
PMCPMC7724301
OpenAlexW3091910399

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.