Evidence map›Paper›PMID 27566651›Full record

ReviewCancer genomics & proteomics

Novel Prognostic and Therapeutic Mutations in Acute Myeloid Leukemia.

Michael Medinger, Claudia Lengerke, Jakob Passweg

Abstract readReview
In one paragraph

Review in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Successful treatment of relapsedTherapeutic advances in hematology · 2026
    Article
  3. Article
  4. Current issues in molecular biology · 2022
    Article
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  7. Identification ofJournal of oncology · 2021
    Article
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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

3 authors.

Michael MedingerDivision of Hematology, Department of Medicine, University Hospital Basel, Basel, Switzerland Division of Internal Medicine, Department of Medicine, University Hospital Basel, Basel, Switzerland medingerm@uhbs.ch.
Claudia LengerkeDivision of Hematology, Department of Medicine, University Hospital Basel, Basel, Switzerland.
Jakob PasswegDivision of Hematology, Department of Medicine, University Hospital Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a biologically complex and molecularly and clinically heterogeneous disease, and its incidence increases with age. Cytogenetics and mutation testing remain important prognostic tools for treatment after induction therapy. The post-induction treatment is dependent on risk stratification. Despite rapid advances in determination of gene mutations involved in the pathophysiology and biology of AML, and the rapid development of new drugs, treatment improvements changed slowly over the past 30 years, with the majority of patients eventually experiencing relapse and dying of their disease. Allogenic hematopoietic stem cell transplantation remains the best chance of cure for patients with intermediate- or high-risk disease. This review gives an overview about advances in prognostic markers and novel treatment options for AML, focusing on new prognostic and probably therapeutic mutations, and novel drug therapies such as tyrosine kinase inhibitors.

Indexed as

MutationAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansLeukemia, Myeloid, AcuteMolecular Targeted TherapyPrognosisAntineoplastic AgentsAcute myeloid leukemiamutationsreviewtargeted therapiestyrosine kinase inhibitors

Identifiers

PMID27566651
PMCPMC5070622

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.