Evidence map›Paper›PMID 26894382›Full record

ReviewCurrent hematologic malignancy reports2016

Smoldering Multiple Myeloma: Emerging Concepts and Therapeutics.

Srinath Sundararajan, Abhijeet Kumar, Neha Korde, Amit Agarwal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Calciphylaxis in POEMS syndrome: Case report.Rare (Amsterdam, Netherlands) · 2024
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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 3 institutions in 1 country.

Srinath SundararajanDivision of Hematology and Oncology, University of Arizona, 1515 N Campbell Ave, Tucson, AZ, 85715, USA. ssundararajan@email.arizona.edu.
Abhijeet KumarDivision of Hematology and Oncology, University of Arizona, 1515 N Campbell Ave, Tucson, AZ, 85715, USA.
Neha KordeMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA.
Amit AgarwalDivision of Hematology and Oncology, University of Arizona, 1515 N Campbell Ave, Tucson, AZ, 85715, USA.
University of Arizona · USArizona Oncology · USMemorial Sloan Kettering Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoldering multiple myeloma (SMM) is a pre-malignant condition with an inherent risk for progression to multiple myeloma (MM). The 2014 IMWG guidelines define smoldering multiple myeloma as a monoclonal gammopathy disorder with serum monoclonal protein (IgG or IgA) ≥30 g/L or urinary monoclonal protein ≥500 mg per 24 h and/or clonal bone marrow plasma cells 10-60 % without any myeloma-defining events or amyloidosis. The risk for progression of SMM to MM vary based on clinical, laboratory, imaging, and molecular characteristics. Observation, with periodic monitoring is the current standard of care for SMM. Over last few years, research advances in SMM have led to the delineation of newer risk factors for progression and identification of a "high-risk" group that would potentially benefit from early treatment. This review focuses on advances in the SMM risk-stratification model and recent clinical trials in this patient population.

Indexed as

Antineoplastic AgentsDietary SupplementsDisease ProgressionHumansMultiple MyelomaRisk FactorsTreatment OutcomeAntineoplastic AgentsGene expression profilingHigh-risk smoldering myelomaProgression related biomarkersSmoldering myelomaTreatment

Identifiers

PMID26894382
OpenAlexW2287500208

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.