Evidence map›Paper›PMID 39657047›Full record

ReviewMagyar onkologia2024

[The clinical potential of measurable residual disease in hematological malignancies].

Tamás László, Anna Lili Kenéz, Gabriella Szepesi, Marcell Matúz, Gábor Barna, Csaba Bödör

Abstract readReviewEnglish Abstract
In one paragraph

Review in Magyar onkologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Tamás LászlóPatológiai és Kísérleti Rákkutató Intézet, Semmelweis Egyetem, HCEMM-SE Molekuláris Onkohematológiai Kutatócsoport, Budapest, Hungary. laszlo.tamas@stud.semmelweis.hu.
Anna Lili KenézPatológiai és Kísérleti Rákkutató Intézet, Semmelweis Egyetem, HCEMM-SE Molekuláris Onkohematológiai Kutatócsoport, Budapest, Hungary. laszlo.tamas@stud.semmelweis.hu.
Gabriella SzepesiPatológiai és Kísérleti Rákkutató Intézet, Semmelweis Egyetem, HCEMM-SE Molekuláris Onkohematológiai Kutatócsoport, Budapest, Hungary. laszlo.tamas@stud.semmelweis.hu.
Marcell MatúzPatológiai és Kísérleti Rákkutató Intézet, Semmelweis Egyetem, HCEMM-SE Molekuláris Onkohematológiai Kutatócsoport, Budapest, Hungary. laszlo.tamas@stud.semmelweis.hu.
Gábor BarnaPatológiai és Kísérleti Rákkutató Intézet, Semmelweis Egyetem, Áramlási Citometriai Laboratórium, Budapest, Hungary.
Csaba BödörPatológiai és Kísérleti Rákkutató Intézet, Semmelweis Egyetem, HCEMM-SE Molekuláris Onkohematológiai Kutatócsoport, Budapest, Hungary. laszlo.tamas@stud.semmelweis.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there have been remarkable improvements in the treatment of hematological malignancies with the introduction of novel therapeutic modalities. The advent of these therapies has made it feasible to significantly and permanently decrease (possibly eradicate) tumor cells in the body. Evaluating the effectiveness of these treatments required the development of a new diagnostic method. Currently, the most appropriate approach for assessing the objective response is through the measurement of "measurable residual disease" (MRD). MRD refers to the presence of malignant cells in a patient's body after receiving treatment, even in the absence of apparent signs or symptoms. Several techniques can be employed to detect MRD, including multiparametric flow cytometry, RQ-PCR as well as more recent approaches including digital PCR or next generation sequencing. This review offers an in-depth overview of the different techniques used to estimate measurable residual disease and their current applications in hematological malignancies.

Indexed as

Flow CytometryHematologic NeoplasmsHigh-Throughput Nucleotide SequencingNeoplasm, ResidualPolymerase Chain ReactionHumans

Identifiers

PMID39657047
PMCPMC11841707

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.