Evidence map›Paper›PMID 37975919›Full record

ReviewPathologie (Heidelberg, Germany)2023

[NGS-based molecular genetics of leukemia-a powerful and decentralized approach].

Sebastian Dintner, Maximilian Schmutz, Sebastian Sommer, Angela Langer, Klaus Hirschbühl, Rainer Claus, Christoph Schmid, Martin Trepel, Bruno Märkl

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Pathologie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 2 countries.

Sebastian DintnerInstitut für Pathologie und molekulare Diagnostik, Universitätsklinikum Augsburg, Senglinstr. 2, 86156, Augsburg, Deutschland. sebastian.dintner@uk-augsburg.de.
Maximilian SchmutzII. Medizinische Klinik, Universitätsklinikum Augsburg, Augsburg, Deutschland.
Sebastian SommerII. Medizinische Klinik, Universitätsklinikum Augsburg, Augsburg, Deutschland.
Angela LangerAugsburg Central BioBank, Medizinische Fakultät, Universität Augsburg, Augsburg, Deutschland.
Klaus HirschbühlII. Medizinische Klinik, Universitätsklinikum Augsburg, Augsburg, Deutschland.
Rainer ClausInstitut für Pathologie und molekulare Diagnostik, Universitätsklinikum Augsburg, Senglinstr. 2, 86156, Augsburg, Deutschland.
Christoph SchmidII. Medizinische Klinik, Universitätsklinikum Augsburg, Augsburg, Deutschland.
Martin TrepelII. Medizinische Klinik, Universitätsklinikum Augsburg, Augsburg, Deutschland.
Bruno MärklInstitut für Pathologie und molekulare Diagnostik, Universitätsklinikum Augsburg, Senglinstr. 2, 86156, Augsburg, Deutschland.
University Hospital Augsburg · DEUniversity of Augsburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), originally based on morphological assessment alone, has to bring together more and more disciplines. Today, modern AML/MDS diagnostics rely on cytomorphology, cytochemistry, immunophenotyping, cytogenetics, and molecular genetics. Only the integration of all these methods allows a comprehensive and complementary characterization of each case, which is a prerequisite for optimal AML/MDS diagnosis and treatment. In the following, we present why multidisciplinary and local diagnosis is essential today and will become even more important in the future, especially in the context of precision medicine. We present our idea and strategy implemented at Augsburg University Hospital, which has realized multidisciplinary diagnostics in AML/MDS in an interdisciplinary and decentralized approach. In particular, this includes the recent technical advances that molecular genetics provides with modern methods. The enormous amount of data generated by these techniques represents a major challenge, but also a unique opportunity. We will reflect on how this increase in knowledge can be integrated into routine practice to lead the way for personalized medicine in AML/MDS to improve patient care.

Indexed as

Leukemia, Myeloid, AcuteMyelodysplastic SyndromesForecastingHumansMolecular BiologyPrecision MedicineHematologyLeukemiaMolecular classificationMRDPanel sequencingTumor diagnostic

Identifiers

PMID37975919
OpenAlexW4388775497

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.