Evidence map›Paper›PMID 33148932›Full record

ReviewJournal of clinical and experimental hematopathology : JCEH2020

Measurable residual disease in the treatment of chronic lymphocytic leukemia.

Takayoshi Uchiyama, Aki Yokoyama, Sadao Aoki

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical and experimental hematopathology : JCEH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Molecular Testing in Hematologic Malignancies.Journal of the advanced practitioner in oncology · 2022
    Article
  5. 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.

Takayoshi UchiyamaNiigata University of Pharmacy and Applied Life Sciences, Faculty of Pharmaceutical Sciences, Department of Pathophysiology, Niigata, Japan.
Aki YokoyamaNiigata University of Pharmacy and Applied Life Sciences, Faculty of Pharmaceutical Sciences, Department of Pathophysiology, Niigata, Japan.
Sadao AokiNiigata University of Pharmacy and Applied Life Sciences, Faculty of Pharmaceutical Sciences, Department of Pathophysiology, Niigata, Japan.
Niigata University of Pharmacy and Applied Life Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment outcomes of chronic lymphocytic leukemia (CLL) have improved since chemoimmunotherapy and novel drugs became available for CLL treatment; therefore, more sensitive methods to evaluate residual CLL cells in patients are required. Measurable residual disease (MRD) has been assessed in several clinical trials on CLL using flow cytometry, real-time quantitative PCR (RQ-PCR) with allele-specific oligonucleotide (ASO) primers, and high-throughput sequencing. MRD assessment is useful to predict the treatment outcomes in the context of chemotherapy and treatment with novel drugs such as venetoclax. In this review, we discuss major techniques for MRD assessment, data from relevant clinical trials, and the future of MRD assessment in CLL treatment.

Indexed as

Flow CytometryHigh-Throughput Nucleotide SequencingLeukemia, Lymphocytic, Chronic, B-CellReal-Time Polymerase Chain ReactionBridged Bicyclo Compounds, HeterocyclicHumansNeoplasm, ResidualSulfonamidesBridged Bicyclo Compounds, HeterocyclicSulfonamidesvenetoclaxchronic lymphocytic leukemiaibrutinibmeasurable residual diseasemulticolor flow cytometryvenetoclax

Identifiers

PMID33148932
PMCPMC7810249
OpenAlexW3097344313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.