Evidence map›Paper›PMID 24483346›Full record

ReviewExpert review of hematology2014

Staging and prognostication of multiple myeloma.

Rafael Fonseca, Jorge Monge, Meletios A Dimopoulos

Abstract readReview
In one paragraph

Review in Expert review of hematology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Towards Stratified Medicine in Plasma Cell Myeloma.International journal of molecular sciences · 2016
    Review
  14. Article
  15. 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

3 authors.

Rafael FonsecaDepartment of Medicine, Mayo Clinic in Arizona, Scottsdale, AZ 85259-5494, USA.
Jorge Monge
Meletios A Dimopoulos

Funding

ECOG OPERATIONS OFFICE (IBCSG)U10CA021115 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI COMIS, ROBERT L · 1985 to 2013
$132.6M
CHROMOSOMAL ABNORMALITIES IN MYELOMA AS DETECTED BY FISHR01CA083724 · NCI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI FONSECA, RAFAEL · 2000 to 2013
$4.0M
NCI NIH HHS CA 21115TNCI NIH HHS R01 CA083724NCI NIH HHS R01 CA83724NCI NIH HHS U10 CA021115
6 · The paper itself

Abstract

Multiple myeloma (MM) is a heterogeneous disease that, over the past 15 years, has seen an increased understanding of its biology and of novel therapeutic options. Distinctive subtypes of the disease have been described, each with different outcomes and clinic-pathological features. Even though a detailed classification of MM into at least seven or eight major subtypes is possible, a more practical clinical approach can classify the disease into high-risk and non-high-risk MM. Such classification has permitted a more personalized approach to the management of the disease. Additionally, risk stratification should be included in outcome discussions with patients, as survival differs significantly by high-risk status. Nowadays, test for risk stratification are widely available and can be routinely used in the clinic. A greater understanding of the genetic abnormalities underlying the biology of MM will allow for the development of novel targeted therapies and better prognostic markers of the disease.

Indexed as

BiomarkersChromosome AberrationsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansImmunologic FactorsMultiple MyelomaNeoplasm, ResidualPrognosisProtease InhibitorsStem Cell TransplantationBiomarkersImmunologic FactorsProtease Inhibitors

Identifiers

PMID24483346
PMCPMC4201368

What OpenQuestion holds

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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.