Evidence map›Paper›PMID 26202864›Full record

ArticleCytometry. Part B, Clinical cytometry2016

Assessment of minimal residual disease in myeloma and the need for a consensus approach.

Andy C Rawstron, Bruno Paiva, Maryalice Stetler-Stevenson

Abstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

3 authors.

Andy C RawstronHMDS, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom; and On Behalf of the European Society for Clinical Cell Analysis (ESCCA).
Bruno PaivaClínica Universidad de Navarra, Pamplona, Spain.
Maryalice Stetler-StevensonLaboratory of Pathology, NCI, Bethesda, Maryland, 20892.

Funding

Flow Cytometric Analysis of Benign and Malignant TumorsZICSC009372 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI WANG, HAO-WEI · 2009 to 2025
$29.6M
Flow Cytometric Evaluation of BiomarkersZ01BC011104 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI STETLER-STEVENSON, MARYALICE · 2008 to 2008
$368k
Intramural NIH HHS Z01 BC011104
6 · The paper itself

Abstract

Treatment options for myeloma continue to develop at a rapid pace, and it is becoming increasingly challenging to determine the optimal therapeutic approaches because demonstrating a clear survival benefit now requires many years of follow-up. The detection of minimal residual disease (MRD) is recognized as a sensitive and rapid approach to evaluate treatment efficacy that predicts progression-free and overall survival independent of categorical response assessment and patients' biology. The benefit of MRD analysis is reflected in the many different techniques (multiparameter flow cytometry, quantitative polymerase chain reaction, and high-throughput sequencing) and collaborative groups (including EMN, ESCCA, ICCS, EuroFlow, and EuroMRD) that have performed collaborative projects to harmonize quantitative MRD detection. The time has come to adopt a consensus approach, and this report reviews the benefits and disadvantages of different strategies for MRD detection in myeloma and highlights the requirements for a sensitive, reproducible, and clinically meaningful cellular analytical approach.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsConsensusHematopoietic Stem Cell TransplantationAntigens, CDAntineoplastic AgentsFlow CytometryGene ExpressionHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Heavy ChainsMultiple MyelomaNeoplasm, ResidualPlasma CellsPolymorphism, GeneticPrognosisReal-Time Polymerase Chain ReactionAntigens, CDAntineoplastic AgentsImmunoglobulin Heavy Chainsflow cytometryhigh throughput sequencingminimal residual diseasePCRplasma cell myelomaquantificationrare event detection

Identifiers

PMID26202864
PMCPMC7511969

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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.