Evidence map›Paper›PMID 27417553›Full record

ReviewJournal of hematology & oncology2016

Elotuzumab for the treatment of multiple myeloma.

Yucai Wang, Larysa Sanchez, David S Siegel, Michael L Wang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% of its field
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  5. DNA methylation profiling of human CD4Immunology and cell biology · 2026
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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

4 authors at 4 institutions in 1 country.

Yucai WangDepartment of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Larysa SanchezDepartment of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
David S SiegelDivision of Multiple Myeloma, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA.
Michael L WangDepartment of Lymphoma/Myeloma, Division of Cancer Medicine, The University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Blvd., Unit 429, Houston, TX, 77030, USA. miwang@mdanderson.org.
Hackensack University Medical Center · USRutgers New Jersey Medical SchoolRutgers, The State University of New Jersey · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elotuzumab is one of the first two monoclonal antibodies that gained FDA approval for the treatment of multiple myeloma (MM). It targets SLAMF7, which is highly expressed in normal plasma and MM cells as well as natural killer (NK) cells. Elotuzumab demonstrated significant anti-myeloma activity in preclinical studies, and its mechanisms of action include mediating antibody-dependent cell-mediated cytotoxicity, enhancing cytotoxicity of NK cells, and inhibiting MM cell interaction with bone marrow stromal cells. In clinical trials, elotuzumab in combination with immunomodulatory drugs and proteasome inhibitors has demonstrated an excellent efficacy and safety profile in treating MM.

Indexed as

Antibodies, Monoclonal, HumanizedAntibody-Dependent Cell CytotoxicityAntineoplastic AgentsCell CommunicationHumansKiller Cells, NaturalMultiple MyelomaSignaling Lymphocytic Activation Molecule FamilyStromal CellsTreatment OutcomeAntibodies, Monoclonal, HumanizedAntineoplastic AgentselotuzumabSignaling Lymphocytic Activation Molecule FamilySLAMF7 protein, human

Identifiers

PMID27417553
PMCPMC4946088
OpenAlexW2468676002

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.