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Proposed minimal diagnostic criteria for myelodysplastic syndromes (MDS) and potential pre-MDS conditions

Overview of attention for article published in Oncotarget, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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24 X users
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1 Wikipedia page

Citations

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161 Dimensions

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164 Mendeley
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Title
Proposed minimal diagnostic criteria for myelodysplastic syndromes (MDS) and potential pre-MDS conditions
Published in
Oncotarget, July 2017
DOI 10.18632/oncotarget.19008
Pubmed ID
Authors

Peter Valent, Attilio Orazi, David P. Steensma, Benjamin L. Ebert, Detlef Haase, Luca Malcovati, Arjan A. van de Loosdrecht, Torsten Haferlach, Theresia M. Westers, Denise A. Wells, Aristoteles Giagounidis, Michael Loken, Alberto Orfao, Michael Lübbert, Arnold Ganser, Wolf-Karsten Hofmann, Kiyoyuki Ogata, Julie Schanz, Marie C. Béné, Gregor Hoermann, Wolfgang R. Sperr, Karl Sotlar, Peter Bettelheim, Reinhard Stauder, Michael Pfeilstöcker, Hans-Peter Horny, Ulrich Germing, Peter Greenberg, John M. Bennett

Abstract

Myelodysplastic syndromes (MDS) comprise a heterogeneous group of myeloid neoplasms characterized by peripheral cytopenia, dysplasia, and a variable clinical course with about 30% risk to transform to secondary acute myeloid leukemia (AML). In the past 15 years, diagnostic evaluations, prognostication, and treatment of MDS have improved substantially. However, with the discovery of molecular markers and advent of novel targeted therapies, new challenges have emerged in the complex field of MDS. For example, MDS-related molecular lesions may be detectable in healthy individuals and increase in prevalence with age. Other patients exhibit persistent cytopenia of unknown etiology without dysplasia. Although these conditions are potential pre-phases of MDS they may also transform into other bone marrow neoplasms. Recently identified molecular, cytogenetic, and flow-based parameters may add in the delineation and prognostication of these conditions. However, no generally accepted integrated classification and no related criteria are as yet available. In an attempt to address this challenge, an international consensus group discussed these issues in a working conference in July 2016. The outcomes of this conference are summarized in the present article which includes criteria and a proposal for the classification of pre-MDS conditions as well as updated minimal diagnostic criteria of MDS. Moreover, we propose diagnostic standards to delineate between ´normal´, pre-MDS, and MDS. These standards and criteria should facilitate diagnostic and prognostic evaluations in clinical studies as well as in clinical practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status Count As %
Other 23 14%
Student > Ph. D. Student 17 10%
Researcher 16 10%
Student > Bachelor 16 10%
Student > Master 13 8%
Other 33 20%
Unknown 46 28%
Readers by discipline Count As %
Medicine and Dentistry 65 40%
Biochemistry, Genetics and Molecular Biology 18 11%
Agricultural and Biological Sciences 8 5%
Immunology and Microbiology 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 12 7%
Unknown 52 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 June 2021.
All research outputs
#2,287,479
of 25,863,888 outputs
Outputs from Oncotarget
#1,019
of 14,359 outputs
Outputs of similar age
#41,672
of 330,472 outputs
Outputs of similar age from Oncotarget
#67
of 1,083 outputs
Altmetric has tracked 25,863,888 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,359 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1,083 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.