Evidence map›Paper›PMID 34836942›Full record

ArticleBlood cancer journal2021

Assessing the prognostic utility of smoldering multiple myeloma risk stratification scores applied serially post diagnosis.

Alissa Visram, S Vincent Rajkumar, Prashant Kapoor, Angela Dispenzieri, Martha Q Lacy, Morie A Gertz, Francis K Buadi, Suzanne R Hayman, David Dingli, Taxiarchis Kourelis and 7 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Observational
  8. Review
  9. Review
  10. Article
  11. Multiple myeloma.Nature reviews. Disease primers · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. The consultant's guide to smoldering multiple myeloma.Hematology. American Society of Hematology. Education Program · 2022
    Article
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

17 authors.

Alissa VisramDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0002-7201-4642
S Vincent RajkumarDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0002-5862-1833
Prashant KapoorDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0002-4342-364X
Angela DispenzieriDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0001-8780-9512
Martha Q LacyDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.
Morie A GertzDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0002-3853-5196
Francis K BuadiDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.
Suzanne R HaymanDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.
David DingliDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.
Taxiarchis KourelisDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0001-8573-9434
Wilson GonsalvesDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.
Rahma WarsameDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.
Eli MuchtarDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0003-2210-2174
Nelson LeungDivision of Nephrology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0002-5651-1411
Linda B BaughnDivision of Laboratory Genetics and Genomics, Mayo Clinic Rochester, Mayo Clinic, MN, USA.ORCID 0000-0001-5229-4897
Robert A KyleDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA.
Shaji KumarDivision of Hematology, Mayo Clinic Rochester, Mayo Clinic, MN, USA. kumar.shaji@mayo.edu.ORCID 0000-0001-5392-9284

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Rafael Fonseca · 2015 to 2026
$25.5M
Onset and biomarkers for progression of monoclonal gammopathiesR01CA168762 · NCI · MAYO CLINIC ROCHESTER · PI KUMAR, SHAJI KUNNATHU, RAJKUMAR, S VINCENT · 2012 to 2024
$3.2M
NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA186781NCI NIH HHS R01 CA168762
6 · The paper itself

Abstract

The Mayo-2018 smoldering multiple myeloma (SMM) risk score is used routinely in the clinical setting but has only been validated at diagnosis. In SMM patients, the progression risk decreases over time. However, the utility of applying risk stratification models after diagnosis is unknown. We retrospectively studied 704 SMM patients and applied the Mayo 2018 and IMWG-2020 risk stratification models at annual landmark timepoints up to 5 years post diagnosis. The Mayo-2018 and IMWG-2020 models reliably stratified patients based on progression risk when applied post diagnosis. The respective 2-year progression risk in Mayo-2018 high risk patients versus IMWG-2020 intermediate-high risk patients was 51% versus 62% at the 1-year landmark and 47% versus 45% at the 4-year landmark. We showed that patients categorized at Mayo-2018 high-risk at follow-up had a similar risk of progression if the baseline risk assessment was low-intermediate versus high-risk (HR 1.04, 95% CI 0.46-2.36, p = 0.931 at 5-year landmark). Patients migrating to a higher risk category during follow up had a higher progression risk compared to patients with stable/decreased risk categorization. Our findings support the use of these risk scores post-diagnosis and suggest that patients evolving to a high-risk category may benefit from early intervention therapeutic approaches.

Indexed as

AgedDisease-Free SurvivalFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentSmoldering Multiple MyelomaSurvival Rate

Identifiers

PMID34836942
PMCPMC8626440

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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.