Evidence map›Paper›PMID 29340131›Full record

ReviewInternational journal of hematology-oncology and stem cell research2017

Acute Myeloid Leukemia-Genetic Alterations and Their Clinical Prognosis.

Francisco Alejandro Lagunas-Rangel, Venice Chávez-Valencia, Miguel Ángel Gómez-Guijosa, Carlos Cortes-Penagos

Abstract readReview
In one paragraph

Review in International journal of hematology-oncology and stem cell research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

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  11. African journal of laboratory medicine · 2026
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28 more citing papers are in PubMed but not listed here.

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

4 authors.

Francisco Alejandro Lagunas-RangelOncological Molecular Markers Laboratory, Graduate Studies Division, Faculty of Biological and Medical Sciences "Dr. Ignacio Chávez", Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México.
Venice Chávez-ValenciaNephrology Department, Regional General Hospital No. 1, Instituto Mexicano del Seguro Social, Morelia, Michoacán, México.
Miguel Ángel Gómez-GuijosaHematology Department, Regional General Hospital No. 1, Instituto Mexicano del Seguro Social, Morelia, Michoacán, México.
Carlos Cortes-PenagosOncological Molecular Markers Laboratory, Master in Health Sciences, Graduate Studies Division, Faculty of Biological and Medical Sciences "Dr. Ignacio Chávez", Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a group of hematological diseases, phenotypic and genetically heterogeneous, characterized by abnormal accumulation of blast cells in the bone marrows and peripheral blood. Its incidence rate is approximately 1.5 per 100,000 in infants younger than 1 year of age and 25 per 100,000 persons in octogenarians. Traditionally, cytogenetic markers are used to stratify patients in three risk categories: favorable, intermediate and unfavorable. However, the forecast stratification and the treatment decision for patients with normal karyotype shows difficulties due to the high clinical heterogeneity. The identification of several genetic mutations additional to classical molecular markers has been useful in identifying new entities. Nowadays, many different mutations and epigenetic aberrations have been implicated in the diagnostic, prognostic and treatment of AML. This review is focused on describing the most important molecular markers with implications for clinical practice.

Indexed as

AMLCytogeneticMolecular markerMutationsRisk groups

Identifiers

PMID29340131
PMCPMC5767295

What OpenQuestion holds

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Registered trials

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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.