Evidence map›Paper›PMID 42600164›Full record

ArticleBlood advances2026

ELTS score and early "warning" define a 2-stage risk framework for failure-free survival in chronic-phase CML.

Fumisato Takagi, Takaaki Ono, Naoto Takahashi, Yosuke Minami, Chiaki Nakaseko, Noriyoshi Iriyama, Katsumichi Fujimaki, Kazuhiko Kakihana, Yoji Ogasawara, Masaya Okada and 15 more

Abstract read
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In one paragraph

Article in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Road to treatment-free remission in chronic myeloid leukemia.International journal of hematology · 2026
    Review
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

25 authors.

Fumisato TakagiDivision of Hematology, Internal Medicine III, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Takaaki OnoDepartment of Transfusion and Cell Therapy, Hamamatsu University School of Medicine, Hamamatsu, Japan.ORCID 0000-0003-3922-7432
Naoto TakahashiDepartment of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0002-6758-3787
Yosuke MinamiDepartment of Hematology, National Cancer Center Hospital East, Kashiwa, Japan.ORCID 0000-0003-0863-0739
Chiaki NakasekoDepartment of Hematology, International University of Health and Welfare, Narita, Japan.ORCID 0000-0003-1175-226X
Noriyoshi IriyamaDepartment of Hematology and Rheumatology, National Hospital Organization Saitama Hospital, Wako City, Japan.ORCID 0000-0001-9176-1988
Katsumichi FujimakiDepartment of Hematology, Fujisawa City Hospital, Fujisawa, Japan.
Kazuhiko KakihanaHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Yoji OgasawaraDivision of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Masaya OkadaFirst Department of Internal Medicine, Kansai Medical University Medical Center, Osaka, Japan.
Tetsuzo TauchiShin-Yurigaoka General Hospital, Kawasaki City, Japan.
Yoshiko AtsutaJapanese Data Center for Hematopoietic Cell Transplantation, Nagakute, Japan.ORCID 0000-0003-4404-2870
Ritsuro SuzukiDepartment of Hematology and Oncology, Faculty of Medicine, Shimane University, Izumo, Japan.ORCID 0000-0002-5974-7614
Kazuhito YamamotoDepartment of Hematology and Cell Therapy, Aichi Cancer Center, Nagoya, Japan.ORCID 0000-0002-8588-8955
Shigeki OhtakeKanazawa University, Kanazawa, Japan.ORCID 0000-0003-0112-6564
Toshihiro MiyamotoDepartment of Hematology, Kanazawa University Hospital, Kanazawa, Japan.
Kazunori OhnishiShubun University, Ichinomiya, Japan.
Emiko SakaidaDepartment of Hematology, Chiba University Hospital, Chiba, Japan.ORCID 0000-0002-7254-1928
Shin FujisawaDepartment of Hematology, Yokohama City University Medical Center, Yokohama, Japan.ORCID 0000-0003-2028-0209
Yukio KobayashiInternational University of Health and Welfare, Mita Hospital, Tokyo, Japan.ORCID 0000-0003-2378-7865
Tatsuya KawaguchiDepartment of Medical Technology, Faculty of Health Science, Kumamoto Health Science University, Kumamoto, Japan.ORCID 0009-0001-8079-1759
Masahiro KizakiDepartment of Hematology, Saitama Medical Center, Saitama Medical University, Saitama, Japan.ORCID 0000-0002-9429-3451
Hitoshi KiyoiDepartment of Hematology and Oncology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0001-6382-9498
Yasushi MiyazakiDepartment of Hematology, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan.
Itaru MatsumuraDepartment of Hematology and Rheumatology, Kindai University Faculty of Medicine, Osaka, Japan.ORCID 0000-0003-2818-4270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractRisk stratification to predict treatment failure in chronic-phase chronic myeloid leukemia (CP-CML) remains an important challenge in the tyrosine kinase inhibitor (TKI) era. We conducted a pooled analysis of 710 patients with newly diagnosed CP-CML enrolled in the prospective Japan Adult Leukemia Study Group CML212 and New TARGET studies, ∼80% of whom received second-generation TKIs (2G-TKIs) as first-line therapy, to identify predictors of failure-free survival (FFS). In this study, we incorporated the European LeukemiaNet 2025-defined "warning" category as an initial adverse state in the definition of FFS events and evaluated transitions to "unfavorable." Within this framework, the EUTOS long-term survival (ELTS) score consistently stratified FFS whether treatment failure included both "warning" and "unfavorable" events or was restricted to "unfavorable." Among patients treated with 2G-TKIs, ELTS demonstrated superior time-dependent discrimination compared with Sokal and remained the baseline predictor of initial treatment failure. Importantly, once "warning" occurred, baseline ELTS no longer predicted deterioration. Instead, the attainment of "warning" within 6 months after TKI initiation independently predicted transition from "warning" to "unfavorable" (hazard ratio, 7.31; 95% confidence interval, 2.94-18.2; P< .001). These findings distinguish baseline risk from postmilestone disease evolution and support a 2-stage risk framework integrating baseline ELTS stratification with "warning" timing to guide dynamic risk-adapted management in CP-CML.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myeloid, Chronic-PhaseProtein Kinase InhibitorsFemaleHumansMaleMiddle AgedRisk AssessmentProtein Kinase Inhibitors

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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.