Evidence map›Paper›PMID 31776467›Full record

ReviewLeukemia2020

Extramedullary multiple myeloma.

Manisha Bhutani, David M Foureau, Shebli Atrash, Peter M Voorhees, Saad Z Usmani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Leukemia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 4 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

142 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Extramedullary Disease-Achilles Heel in Myeloma?American journal of hematology · 2026
    Review
  17. Article
  18. Article
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82 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

5 authors.

Manisha BhutaniDepartment of Hematologic Oncology and Blood Disorders, Levine Cancer Institute/Atrium Health, Charlotte, NC, USA.
David M FoureauImmune Monitoring Core Laboratory, Levine Cancer Institute/Atrium Health, Charlotte, NC, USA.
Shebli AtrashDepartment of Hematologic Oncology and Blood Disorders, Levine Cancer Institute/Atrium Health, Charlotte, NC, USA.ORCID http://orcid.org/0000-0003-4547-7534
Peter M VoorheesDepartment of Hematologic Oncology and Blood Disorders, Levine Cancer Institute/Atrium Health, Charlotte, NC, USA.
Saad Z UsmaniDepartment of Hematologic Oncology and Blood Disorders, Levine Cancer Institute/Atrium Health, Charlotte, NC, USA. saad.usmani@atriumhealth.org.

Funding

PET Scan for Prognostication in Newly Diagnosed High Risk Multiple MyelomaR01CA201634 · NCI · CAROLINAS MEDICAL CENTER · PI USMANI, SAAD · 2016 to 2016
$177k
NCI NIH HHS R01 CA201634
6 · The paper itself

Abstract

Extramedullary multiple myeloma (EMM) is an aggressive subentity of multiple myeloma, characterized by the ability of a subclone to thrive and grow independent of the bone marrow microenvironment, resulting in a high-risk state associated with increased proliferation, evasion of apoptosis and treatment resistance. Despite improvement in survival for most patients with multiple myeloma over recent decades, outcomes are generally poor when EMM develops. Understanding the molecular underpinnings leading to homing of plasma cells in ecosystems outside the bone marrow will be crucial for therapeutically manipulating the microenvironment and targeting key signaling pathways. Herein, we discuss the evolutionary biology of EMM, underscore the importance of a uniform definition, discuss prognostic significance, and provide current and emerging treatment strategies for managing this rare subentity of multiple myeloma.

Indexed as

HumansMultiple Myeloma

Identifiers

What OpenQuestion holds

Textmetadata
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.