Evidence map›Paper›PMID 23311294›Full record

ArticleLeukemia & lymphoma2013

Modeling progression risk for smoldering multiple myeloma: results from a prospective clinical study.

Benjamin M Cherry, Neha Korde, Mary Kwok, Elisabet E Manasanch, Manisha Bhutani, Marcia Mulquin, Diamond Zuchlinski, Mary Ann Yancey, Irina Maric, Katherine R Calvo and 8 more

Abstract read
In one paragraph

Article in Leukemia & lymphoma, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Randomized Trial of Lenalidomide Versus Observation in Smoldering Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Trial
  2. Genomics Define Malignant Transformation in Myeloma Precursor Conditions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
  3. Review
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  6. Article
  7. Review
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  9. [Progress in risk stratification and treatment of high-risk smoldering multiple myeloma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2024
    Review
  10. Article
  11. Article
  12. Review
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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

18 authors.

Benjamin M CherryMultiple Myeloma Section, National Cancer Institute, National Institutes of Health , Bethesda, MD , USA.
Neha Korde
Mary Kwok
Elisabet E Manasanch
Manisha Bhutani
Marcia Mulquin
Diamond Zuchlinski
Mary Ann Yancey
Irina Maric
Katherine R Calvo
Raul Braylan
Maryalice Stetler-Stevenson
Constance Yuan
Prashant Tembhare
Adriana Zingone
Rene Costello
Mark J Roschewski
Ola Landgren

Funding

Flow Cytometric Analysis of Benign and Malignant TumorsZICSC009372 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI WANG, HAO-WEI · 2009 to 2025
$29.6M
Flow Cytometric Evaluation of BiomarkersZICBC011104 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, HAO-WEI · 2009 to 2025
$8.6M
Molecular and clinical profilingZIABC011352 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LANDGREN, OLA · 2010 to 2014
$4.4M
Collaboration with Investigators from the Multiple Myeloma Section, Medical Oncology Branch, NCI and of the Molecular Medicine Branch, Molecular Genomics & Therapeutics Section, NIDDKZIACL060089 · CLC · CLINICAL CENTER · PI BRAYLAN, RAUL · 2014 to 2015
$0k
The Role of microRNA in Hematologic MalignanciesZIACL090025 · CLC · CLINICAL CENTER · PI CALVO, KATHERINE · 2010 to 2025
$0k
Bone Marrow Histopathological Changes in Neoplastic and Non-Neoplastic DiseasesZIACL090027 · CLC · CLINICAL CENTER · PI MARIC, IRINA · 2010 to 2025
$0k
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011352
6 · The paper itself

Abstract

The risk of progression to multiple myeloma (MM) from the precursor condition smoldering MM (SMM) varies considerably among individual patients. Reliable markers for progression to MM are vital to advance the understanding of myeloma precursor disease and for the development of intervention trials designed to delay/prevent MM. The Mayo Clinic and Spanish PETHEMA have proposed models to stratify patient risk based on clinical parameters. The aim of our study was to define the degree of concordance between these two models by comparing the distribution of patients with SMM classified as low, medium and high risk for progression. A total of 77 patients with SMM were enrolled in our prospective natural history study. Per study protocol, each patient was assigned risk scores based on both the Mayo and the Spanish models. The Mayo Clinic model identified 38, 35 and four patients as low, medium and high risk, respectively. The Spanish PETHEMA model classified 17, 22 and 38 patients as low, medium and high risk, respectively. There was significant discordance in overall patient risk classification (28.6% concordance) and in classifying patients as low versus high (p < 0.0001), low versus non-low (p = 0.0007) and high versus non-high (p < 0.0001) risk. There is a need for prospectively validated models to characterize individual patient risk of transformation to MM.

Indexed as

Cell Transformation, NeoplasticModels, BiologicalDisease ProgressionHumansMonoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaPrognosisProspective StudiesRiskTime Factors

Identifiers

PMID23311294
PMCPMC7561256

What OpenQuestion holds

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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.