Evidence map›Paper›PMID 30587529›Full record

ReviewBlood2019

Toward personalized treatment in multiple myeloma based on molecular characteristics.

Charlotte Pawlyn, Faith E Davies

Abstract readReview
In one paragraph

Review in Blood, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing 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

124 citing papers in PubMed.

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  11. [Value of gene mutation in the prognosis and treatment of multiple myeloma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2025
    Review
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64 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

2 authors.

Charlotte PawlynThe Institute of Cancer Research, London, United Kingdom; and.ORCID 0000-0002-7190-0028
Faith E DaviesMyeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, the choice of therapy for an individual multiple myeloma patient has been based on clinical factors such as age and comorbidities. The widespread evolution, validation, and clinical utilization of molecular technologies, such as fluorescence in situ hybridization and next-generation sequencing has enabled the identification of a number of prognostic and predictive biomarkers for progression-free survival, overall survival, and treatment response. In this review, we argue that in order to continue to improve myeloma patient outcomes incorporating such biomarkers into the routine diagnostic workup of patients will allow for the use of personalized, biologically based treatments.

Indexed as

Precision MedicineBiomarkers, TumorCombined Modality TherapyHigh-Throughput Nucleotide SequencingHumansMultiple MyelomaBiomarkers, Tumor

Identifiers

PMID30587529
PMCPMC6384187

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.