Evidence map›Paper›PMID 35637223›Full record

ReviewBlood cancer journal2022

High-risk disease in newly diagnosed multiple myeloma: beyond the R-ISS and IMWG definitions.

Patrick Hagen, Jiwang Zhang, Kevin Barton

Abstract readReview
In one paragraph

Review in Blood cancer journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The [European journal of nuclear medicine and molecular imaging · 2026
    Pooled it
  2. International Myeloma Society/International Myeloma Working Group Consensus Recommendations on the Definition of High-Risk Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Guideline
  3. Article
  4. Article
  5. Article
  6. Article
  7. [European journal of nuclear medicine and molecular imaging · 2026
    Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. [Value of gene mutation in the prognosis and treatment of multiple myeloma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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.

Patrick HagenDepartment of Hematology/Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA. Patrick.Hagen@lumc.edu.ORCID 0000-0003-3428-1667
Jiwang ZhangDepartment of Pathology and Department of Radiation Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA.ORCID 0000-0003-4309-2892
Kevin BartonDepartment of Hematology/Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA.

Funding

RIP1/RIP3-Calpain-Stat3 and NF-kappa B pathways in AML pathogenesis and treatmentR01CA223194 · NCI · LOYOLA UNIVERSITY CHICAGO · PI ZHANG, JIWANG · 2018 to 2022
$1.7M
Systematic identification of hematopoietic stem cell expansion factorsR01HL133560 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI ZHANG, JIWANG · 2017 to 2020
$1.5M
NCI NIH HHS R01 CA223194NHLBI NIH HHS R01 HL133560
6 · The paper itself

Abstract

Multiple myeloma (MM) is an acquired malignant plasma cell disorder that develops late in life. Although progression free and overall survival has improved across all age, race, and ethnic groups, a subset of patients have suboptimal outcomes and are labeled as having high risk disease. A uniform approach to risk in NDMM remains elusive despite several validated risk stratification systems in clinical use. While we attempt to capture risk at diagnosis, the reality is that many important prognostic characteristics remain ill-defined as some patients relapse early who were defined as low risk based on their genomic profile at diagnosis. It is critical to establish a definition of high risk disease in order to move towards risk-adapted treatment approaches. Defining risk at diagnosis is important to both effectively design future clinical trials and guide which clinical data is needed in routine practice. The goal of this review paper is to summarize and compare the various established risk stratification systems, go beyond the R-ISS and international myeloma working group risk stratifications to evaluate specific molecular and cytogenetic abnormalities and how they impact prognosis independently. In addition, we explore the wealth of new genomic information from recent whole genome/exome sequencing as well as gene expression data and review known clinical factors affecting outcome such as disease burden and early relapse as well as patient related factors such as race. Finally, we provide an outlook on developing a new high risk model system and how we might make sense of co-occurrences, oncogenic dependencies, and mutually exclusive mutations.

Indexed as

Multiple MyelomaParaproteinemiasHumansNeoplasm Recurrence, LocalNeoplasm StagingPrognosis

Identifiers

PMID35637223
PMCPMC9151761

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.