Evidence map›Paper›PMID 30671912›Full record

ReviewCurrent hematologic malignancy reports2019

Determination of Minimal Residual Disease in Multiple Myeloma: Does It Matter?

Shalin Kothari, Jens Hillengass, Philip L McCarthy, Sarah A Holstein

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

4 authors at 2 institutions in 1 country.

Shalin KothariDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Jens HillengassDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Philip L McCarthyDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Sarah A HolsteinDepartment of Internal Medicine, University of Nebraska Medical Center, 986840 Nebraska Medical Center, Omaha, NE, 68198, USA. sarah.holstein@unmc.edu.
Roswell Park Comprehensive Cancer Center · USUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe ability to detect minimal residual disease (MRD) in myeloma has improved due to advances in flow cytometry and sequencing methodologies. Here, we evaluate recent clinical trial data and explore the current and future roles of MRD assessment in the context of clinical trial design and clinical practice. RECENT

findingsA review of recent phase III studies reveals that achievement of MRD negativity is associated with improved progression-free survival (PFS) and/or overall survival (OS). Treatment arms that are more effective from a PFS or overall response rate perspective are also associated with superior MRD negativity rates. The current standard MRD methodologies are limited by requiring bone marrow samples and refinement of methodologies that can detect disease outside of the bone marrow is needed. Currently, MRD is a prognostic biomarker and further efforts are required to determine whether it can serve as a surrogate endpoint. The use of MRD status to guide treatment decisions is currently not recommended outside the confines of a clinical trial.

Indexed as

HumansMultiple MyelomaNeoplasm, ResidualSurvival RateMinimal residual diseaseMultiple myelomaOverall survival

Identifiers

PMID30671912
OpenAlexW2918534205

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.