Evidence map›Paper›PMID 26191950›Full record

ReviewBone marrow transplantation2016

Minimal residual disease testing after stem cell transplantation for multiple myeloma.

A M Sherrod, P Hari, C A Mosse, R C Walker, R F Cornell

Abstract readReview
PubMed Publisher
In one paragraph

Review in Bone marrow transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Maintenance versus Induction Therapy Choice on Outcomes after Autologous Transplantation for Multiple Myeloma.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2017
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

A M SherrodDivision of Hematology and Oncology, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
P HariDivision of Hematology and Oncology, Department of Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
C A MosseDepartment of Pathology and Laboratory Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
R C WalkerDepartment of Clinical Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
R F CornellDivision of Hematology and Oncology, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USMedical College of Wisconsin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased use of novel agents and autologous stem cell transplantation has led to a significant improvement in PFS and overall survival in patients with multiple myeloma. Despite improved treatment strategies, most patients eventually relapse due to persistent low levels of disease in the bone marrow. Increasingly sensitive methods to measure or detect such disease have been evaluated, including multi-parametric flow cytometry, PCR, next-generation sequencing and imaging modalities. The following literature review examines current methods for detecting and monitoring minimal or measurable residual disease (MRD) in the post-transplant setting. Improved methods for detecting MRD will refine the current definitions of remission and could guide treatment approaches.

Indexed as

High-Throughput Nucleotide SequencingMultiple MyelomaMultiplex Polymerase Chain ReactionStem Cell TransplantationAnimalsAutograftsHumansNeoplasm, Residual

Identifiers

PMID26191950
OpenAlexW1483737963

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.