Evidence map›Paper›PMID 41348031›Full record

ReviewHematology. American Society of Hematology. Education Program2025

How to approach the high-risk myeloma from induction through relapse?

Katja C Weisel, Christoph Schaefers, Lisa B Leypoldt

Abstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2025. 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
–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

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

3 authors.

Katja C WeiselUniversity Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christoph SchaefersUniversity Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Lisa B LeypoldtUniversity Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the enormous progress made in the treatment of multiple myeloma (MM) with various treatment choices in frontline and relapse settings, treatment of high-risk (HR)MM remains a therapeutic challenge. Definition of HR disease is dynamic and mainly based on cytogenetic assessment showing typical cytogenetic abnormalities. Most recently, the International Myeloma Society and the International Myeloma Working Group published a revision of HR criteria, IMS-IMWG Consensus Genomic Staging. Immediate identification of HRMM at primary diagnosis is crucial to refer the patients to optimal treatment. Emerging data, especially from clinical trials designed explicitly for HR patients, demonstrated that upfront quadruplet treatment followed by consolidation and continuous combination maintenance, including high dose melphalan and autologous stem cell transplantation for patients who qualify, is the current best approach leading to a markedly improved prognosis. The primary treatment goal is the rapid achievement of sustained minimal residual disease- negative response with treatment continuation beyond to avoid early relapses and evolvement of resistant clones. A distinct subgroup of patients, the so-called functional HR patients, are defined as relapsing between 12 and 18 months despite optimal frontline treatment. The unmet need for effective treatment options in this challenging situation is now partially mitigated by the introduction of B-cell maturation antigen-directed T-cell-engaging immunotherapies. Early data show favorable outcomes, with treatments with chimeric antigen receptor T-cells achieving durable responses.

Indexed as

Multiple MyelomaHumansMelphalanRecurrenceTransplantation, AutologousMelphalan

Identifiers

PMID41348031
PMCPMC12891410

What OpenQuestion holds

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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.