Evidence map›Paper›PMID 30190345›Full record

ArticleHaematologica2019

Comprehensive genetic diagnosis of acute myeloid leukemia by next-generation sequencing.

Elisabeth K M Mack, André Marquardt, Danny Langer, Petra Ross, Alfred Ultsch, Michael G Kiehl, Hildegard I D Mack, Torsten Haferlach, Andreas Neubauer, Cornelia Brendel

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Elisabeth K M MackDepartment of Hematology, Oncology and Immunology, Philipps-University Marburg, and University Hospital Gießen and Marburg, Marburg, Germany.
André MarquardtDepartment of Hematology, Oncology and Immunology, Philipps-University Marburg, and University Hospital Gießen and Marburg, Marburg, Germany.
Danny LangerDepartment of Hematology, Oncology and Immunology, Philipps-University Marburg, and University Hospital Gießen and Marburg, Marburg, Germany.
Petra RossDepartment of Hematology, Oncology and Immunology, Philipps-University Marburg, and University Hospital Gießen and Marburg, Marburg, Germany.
Alfred UltschDatabionics, Department of Mathematics and Informatics, Philipps-University Marburg, Germany.
Michael G KiehlDepartment of Internal Medicine, Frankfurt (Oder) General Hospital, Frankfurt/Oder, Germany.
Hildegard I D MackInstitute for Biomedical Aging Research, Leopold-Franzens-University Innsbruck, Austria.
Torsten HaferlachMLL, Munich Leukemia Laboratory, Germany.
Andreas NeubauerDepartment of Hematology, Oncology and Immunology, Philipps-University Marburg, and University Hospital Gießen and Marburg, Marburg, Germany.
Cornelia BrendelDepartment of Hematology, Oncology and Immunology, Philipps-University Marburg, and University Hospital Gießen and Marburg, Marburg, Germany brendelc@staff.uni-marburg.de.
Universitätsklinikum Gießen und Marburg · DEGoethe University Frankfurt · DEMunich Leukemia Laboratory (Germany) · DEPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differential induction therapy of all subtypes of acute myeloid leukemia other than acute promyelocytic leukemia is impeded by the long time required to complete complex and diverse cytogenetic and molecular genetic analyses for risk stratification or targeted treatment decisions. Here, we describe a reliable, rapid and sensitive diagnostic approach that combines karyotyping and mutational screening in a single, integrated, next-generation sequencing assay. Numerical karyotyping was performed by low coverage whole genome sequencing followed by copy number variation analysis using a novel algorithm based on

Indexed as

Biomarkers, TumorGenetic Association StudiesGenetic Predisposition to DiseaseAdultAgedAged, 80 and overAlgorithmsChromosome AberrationsComputational BiologyDNA Copy Number VariationsFemaleHigh-Throughput Nucleotide SequencingHumansKaryotypingLeukemia, Myeloid, AcuteMaleBiomarkers, Tumor

Identifiers

PMID30190345
PMCPMC6355503
OpenAlexW2890769664

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.