Evidence map›Paper›PMID 35011692›Full record

ReviewCells2021

Risk Stratification and Treatment in Smoldering Multiple Myeloma.

Tyler Lussier, Natalie Schoebe, Sabine Mai

Abstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Risk factors for multiple myeloma and its precursor diseases.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  4. Review
  5. Review
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.

Tyler LussierDepartment of Physiology and Pathophysiology, University of Manitoba, Cancer Care Manitoba Research Institute, Winnipeg, MB R3E 0V9, Canada.
Natalie SchoebeDepartment of Physiology and Pathophysiology, University of Manitoba, Cancer Care Manitoba Research Institute, Winnipeg, MB R3E 0V9, Canada.ORCID 0000-0001-7417-3025
Sabine MaiDepartment of Physiology and Pathophysiology, University of Manitoba, Cancer Care Manitoba Research Institute, Winnipeg, MB R3E 0V9, Canada.ORCID 0000-0002-5797-2201

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoldering multiple myeloma is a heterogeneous asymptomatic precursor to multiple myeloma. Since its identification in 1980, risk stratification models have been developed using two main stratification methods: clinical measurement-based and genetics-based. Clinical measurement models can be subdivided in three types: baseline measurements (performed at diagnosis), evolving measurements (performed over time during follow-up appointments), and imaging (for example, magnetic resonance imaging). Genetic approaches include gene expression profiling, DNA/RNA sequencing, and cytogenetics. It is important to accurately distinguish patients with indolent disease from those with aggressive disease, as clinical trials have shown that patients designated as "high-risk of progression" have improved outcomes when treated early. The risk stratification models, and clinical trials are discussed in this review.

Indexed as

Risk AssessmentClinical Trials as TopicCytogeneticsDNAHumansRisk FactorsRNASmoldering Multiple MyelomaDNARNArisk stratificationsmoldering multiple myelomatreatment

Identifiers

PMID35011692
PMCPMC8750018

What OpenQuestion holds

Textmetadata
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.