Evidence map›Paper›PMID 42659576›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2026

Refined Continuous Risk Index for Accurately Predicting Outcomes of Patients With Chronic Lymphocytic Leukemia After Limited-Duration Therapy.

Othman Al-Sawaf, Can Zhang, Mohammad S Esfahani, Chih Long Liu, Sandra Robrecht, Eugen Tausch, Anke Schilhabel, Matthias Ritgen, Christof Schneider, Martin Peifer and 12 more

Abstract readComparative StudyValidation Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Othman Al-SawafDepartment I of Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID 0000-0001-9895-0570
Can ZhangDepartment I of Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Mohammad S EsfahaniDivisions of Oncology & Hematology, Department of Medicine, Stanford University, Stanford, CA.
Chih Long LiuDivisions of Oncology & Hematology, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0002-6577-5427
Sandra RobrechtDepartment I of Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Eugen TauschDivision of CLL, Department III of Internal Medicine, Ulm University, Ulm, Germany.ORCID 0000-0002-9503-1226
Anke SchilhabelDepartment II of Internal Medicine, Campus Kiel, University of Schleswig-Holstein, Kiel, Germany.
Matthias RitgenDepartment II of Internal Medicine, Campus Kiel, University of Schleswig-Holstein, Kiel, Germany.ORCID 0000-0002-0957-3804
Christof SchneiderDivision of CLL, Department III of Internal Medicine, Ulm University, Ulm, Germany.
Martin PeiferUniversity of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Translational Genomics, Cologne, Germany.ORCID 0000-0002-5243-5503
Moritz FürstenauDepartment I of Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID 0000-0002-6593-0140
Carsten Utoft NiemannRigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-9880-5242
Arnon P KaterDepartment of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-3190-1891
John F SeymourDepartment of Hematology, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia.ORCID 0000-0003-2188-6835
Brenda ChylaAbbVie Inc, North Chicago, IL.ORCID 0000-0003-2594-9696
Yanwen JiangGenentech, South San Francisco, CA.
Barbara EichhorstDepartment I of Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Stephan StilgenbauerDivision of CLL, Department III of Internal Medicine, Ulm University, Ulm, Germany.
Michael HallekDepartment I of Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Ash A AlizadehDivisions of Oncology & Hematology, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0002-5153-5625
David M KurtzDivisions of Oncology & Hematology, Department of Medicine, Stanford University, Stanford, CA.ORCID 0000-0002-6382-4651
Kirsten FischerDepartment I of Internal Medicine and Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID 0009-0006-6169-9152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMeasurable residual disease (MRD) status after limited-duration treatment for chronic lymphocytic leukemia (CLL) strongly predicts survival times and is considered a surrogate end point. However, most prognostic indices, including the International Prognostic Index (CLL-IPI), rely solely on pretreatment features. To incorporate dynamic MRD data in prognostic models, the continuous individualized risk index (CIRI) was proposed in 2019. Since developed in the context of chemoimmunotherapy, we here propose a refined version of CIRI, in the context of fixed-duration targeted therapy, which includes MRD status at interim, end-of-treatment (EoT) and, in addition, 12-month post-EoT (CIRI2-CLL).

methodsAfter developing model parameters from the CLL8/10/11 and MURANO trials, we applied CIRI2-CLL to independent validation sets from the CLL14 (venetoclax-obinutuzumab

resultsWe compared CIRI2-CLL with individual indices and found good calibration with an approximately 5% difference between observed and predicted event probabilities for progression-free survival (PFS). CIRI2-CLL demonstrated superior performance compared with individual indices as measured by C-statistics between 0.82 and 0.98 at all time points, including MRD and CLL-IPI, improving PFS prediction by 14%-37% from 2 to 5 years. When stratifying patients by CIRI2-CLL into low-, intermediate-, and high-risk groups, the corresponding 3-year PFS rates were 100.0%, 70.2%, and 10.8%. Performance was maintained for overall survival.

conclusionThese results validate CIRI2-CLL in the context of limited-duration CLL therapy. Our approach suggests the models' adaptability to emerging additional longitudinal MRD and/or outcome data. By introducing CIRI2-CLL, we offer a dynamic tool for investigators to reliably identify patients with increased risk of disease relapse after limited-duration therapy with venetoclax and obinutuzumab, freely accessible at CIRI2 (Stanford University), with important implications for informed decision making and for future risk-adapted CLL trial design.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsLeukemia, Lymphocytic, Chronic, B-CellAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm, ResidualPrognosisProgression-Free SurvivalRandomized Controlled Trials as TopicRisk AssessmentTime FactorsYoung Adult

Identifiers

PMID42659576
PMCPMC13623073

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