Evidence map›Paper›PMID 30941515›Full record

ReviewCurrent oncology reports2019

The Emerging Role of Minimal Residual Disease Testing in Diffuse Large B-Cell Lymphoma.

Rachel Hu, Allison Winter, Brian T Hill

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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 at 1 institution in 1 country.

Rachel HuTaussig Cancer Institute, Cleveland Clinic, 9500 Euclid Ave - CA6, Cleveland, OH, 44195, USA.
Allison WinterTaussig Cancer Institute, Cleveland Clinic, 9500 Euclid Ave - CA6, Cleveland, OH, 44195, USA.
Brian T HillTaussig Cancer Institute, Cleveland Clinic, 9500 Euclid Ave - CA6, Cleveland, OH, 44195, USA. hillb2@ccf.org.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDiffuse large B cell lymphoma (DLBCL) is characterized by clinical heterogeneity that is not fully accounted for by pathologic features. Furthermore, real-time treatment modifications and detection of relapse are typically guided by radiographic imaging modalities which are imperfect. Here, we review the potential utility of minimal residual disease (MRD) assessment for informing treatment decisions and detecting relapse. RECENT

findingsThe most promising method of MRD detection is based on analysis of circulating tumor DNA in the peripheral blood of patients with DLBCL. This approach can predict outcomes and response to treatment as well as detect relapse prior to clinical signs of recurrent disease. While some studies of MRD in DLBCL have been in the prospective setting, the ability of this technology to alter clinical outcomes is currently unknown. MRD detection provides a non-invasive way to gather information about DLBCL at various time points throughout the disease course. Its role is evolving and should be incorporated into prospective studies in order to demonstrate an impact on patient outcomes.

Indexed as

Biomarkers, TumorCirculating Tumor DNADrug MonitoringEarly Detection of CancerHumansImmunoglobulinsLymphoma, Large B-Cell, DiffuseNeoplasm, ResidualNeoplastic Cells, CirculatingPrognosisBiomarkers, TumorCirculating Tumor DNAImmunoglobulinsCirculating tumor DNADiffuse large B cell lymphomaImmunoglobulin next-generation sequencingMinimal residual diseaseNext generation sequencing

Identifiers

PMID30941515
OpenAlexW2926826148

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.