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Azacitidine front-line in 339 patients with myelodysplastic syndromes and acute myeloid leukaemia: comparison of French-American-British and World Health Organization classifications

Overview of attention for article published in Journal of Hematology & Oncology, April 2016
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Title
Azacitidine front-line in 339 patients with myelodysplastic syndromes and acute myeloid leukaemia: comparison of French-American-British and World Health Organization classifications
Published in
Journal of Hematology & Oncology, April 2016
DOI 10.1186/s13045-016-0263-4
Pubmed ID
Authors

Lisa Pleyer, Sonja Burgstaller, Reinhard Stauder, Michael Girschikofsky, Heinz Sill, Konstantin Schlick, Josef Thaler, Britta Halter, Sigrid Machherndl-Spandl, Armin Zebisch, Angelika Pichler, Michael Pfeilstöcker, Eva-Maria Autzinger, Alois Lang, Klaus Geissler, Daniela Voskova, Dietmar Geissler, Wolfgang R. Sperr, Sabine Hojas, Inga M. Rogulj, Johannes Andel, Richard Greil

Abstract

The MDS-IWG and NCCN currently endorse both FAB and WHO classifications of MDS and AML, thus allowing patients with 20-30 % bone marrow blasts (AML20-30, formerly MDS-RAEB-t) to be categorised and treated as either MDS or AML. In addition, an artificial distinction between AML20-30 and AML30+ was made by regulatory agencies by initially restricting approval of azacitidine to AML20-30. Thus, uncertainty prevails regarding the diagnosis, prognosis and optimal treatment timing and strategy for patients with AML20-30. Here, we aim to provide clarification for patients treated with azacitidine front-line. The Austrian Azacitidine Registry is a multicentre database (ClinicalTrials.gov: NCT01595295). For this analysis, we selected 339 patients treated with azacitidine front-line. According to the WHO classification 53, 96 and 190 patients had MDS-RAEB-I, MDS-RAEB-II and AML (AML20-30: n = 79; AML30+: n = 111), respectively. According to the FAB classification, 131, 101 and 111 patients had MDS-RAEB, MDS-RAEB-t and AML, respectively. The median ages of patients with MDS and AML were 72 (range 37-87) and 77 (range 23-93) years, respectively. Overall, 80 % of classifiable patients (≤30 % bone marrow blasts) had intermediate-2 or high-risk IPSS scores. Most other baseline, treatment and response characteristics were similar between patients diagnosed with MDS or AML. WHO-classified patients with AML20-30 had significantly worse OS than patients with MDS-RAEB-II (13.1 vs 18.9 months; p = 0.010), but similar OS to patients with AML30+ (10.9 vs 13.1 months; p = 0.238). AML patients that showed MDS-related features did not have worse outcomes compared with patients who did not (13.2 vs 8.9 months; p = 0.104). FAB-classified patients with MDS-RAEB-t had similar survival to patients with AML30+ (12.8 vs 10.9 months; p = 0.376), but significantly worse OS than patients with MDS-RAEB (10.9 vs 24.4 months; p < 0.001). Our data demonstrate the validity of the WHO classification of MDS and AML, and its superiority over the former FAB classification, for patients treated with azacitidine front-line. Neither bone marrow blast count nor presence of MDS-related features had an adverse prognostic impact on survival. Patients with AML20-30 should therefore be regarded as having 'true AML' and in our opinion treatment should be initiated without delay.

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Geographical breakdown

Country Count As %
Peru 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Postgraduate 6 14%
Other 5 12%
Professor > Associate Professor 4 9%
Student > Master 2 5%
Other 5 12%
Unknown 13 30%
Readers by discipline Count As %
Medicine and Dentistry 20 47%
Biochemistry, Genetics and Molecular Biology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Nursing and Health Professions 2 5%
Computer Science 1 2%
Other 0 0%
Unknown 14 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 May 2016.
All research outputs
#18,451,892
of 22,862,742 outputs
Outputs from Journal of Hematology & Oncology
#925
of 1,192 outputs
Outputs of similar age
#197,903
of 269,982 outputs
Outputs of similar age from Journal of Hematology & Oncology
#19
of 29 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 269,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.