Evidence map›Paper›PMID 32698349›Full record

ReviewInternational journal of molecular sciences2020

Cutting Edge Molecular Therapy for Acute Myeloid Leukemia.

Kenichi Miyamoto, Yosuke Minami

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
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

2 authors at 1 institution in 1 country.

Kenichi MiyamotoDepartment of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan.
Yosuke MinamiDepartment of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan.
National Cancer Center Hospital East · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, whole exome sequencing for acute myeloid leukemia (AML) has been performed by a next-generation sequencer in several studies. It has been revealed that a few gene mutations are identified per AML patient. Some of these mutations are actionable mutations that affect the response to an approved targeted treatment that is available for off-label treatment or that is available in clinical trials. The era of precision medicine for AML has arrived, and it is extremely important to detect actionable mutations relevant to treatment decision-making. However, the percentage of actionable mutations found in AML is about 50% at present, and therapeutic development is also needed for AML patients without actionable mutations. In contrast, the newly approved drugs are less toxic than conventional intensive chemotherapy and can be combined with low-intensity treatments. These combination therapies can contribute to the improvement of prognosis, especially in elderly AML patients who account for more than half of all AML patients. Thus, the treatment strategy for leukemia is changing drastically and showing rapid progress. In this review, we present the latest information regarding the recent development of treatment for AML.

Indexed as

AnimalsAntineoplastic AgentsCombined Modality TherapyDrug ApprovalEpigenesis, GeneticHumansImmunotherapy, AdoptiveLeukemia, Myeloid, AcuteMolecular Targeted TherapyMutationPrecision MedicineSignal TransductionSmall Molecule LibrariesAntineoplastic AgentsSmall Molecule Librariesacute myeloid leukemiachimeric antigen receptorFMS-like tyrosine kinase 3immune checkpoint inhibitorisocitrate dehydrogenase

Identifiers

PMID32698349
PMCPMC7404220
OpenAlexW3043341892

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.